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  • 1.
    Akillioglu, Hakan
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Dias-Ferreira, Joao
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Continuous precise workload control method2014In: IEEE International Conference on Industrial Engineering and Engineering Management, 2014, p. 511-515Conference paper (Refereed)
    Abstract [en]

    The diversity of requirements and the frequency of change in the market can only be competed with dynamicity and responsiveness in both production and planning systems. In this sense, working principles of a novel workload control method, called continuous precise workload control are presented in this paper. The implementation of the method is based on a multi-agent based architecture. The presented approach generates dynamic non periodic release decisions exploiting real time shop floor information. The performance of the system and correlation of norm value against the assessment range are investigated through an experimented test case.

  • 2.
    Akillioglu, Hakan
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Ferreira, Joao
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Operational characterization of evolvable productionsystems2012In: 4th CIRP Conference on Assembly Technologies and Systems – CATS 2012, 2012, p. 85-90Conference paper (Refereed)
    Abstract [en]

    On the way to achieve mass customization production systems have to obtain the capability of rapid reconfiguration of not only physical components but also from control point of view. Evolvable Production System targets highly adaptable mechanical and control solutions that can enhance reusability and interoperability of modules, enabling lifetime extension of the modules. The focus of EPS paradigm is to achieve overall system adaptability by autonomous modules which are dedicated to specific processes with the capability of short deployment time at shop floor without reprogramming effort. From the operational point of view EPS brings significant enhancements considering shop floor dynamics and performances therefore positioning of EPS principles and approaches in production system typology from different perspectives is essential. This has been done by two means which are process flow structure and customer order decoupling point location.

  • 3.
    Antonelli, Dario
    et al.
    Politecn Torino, Corso Duca Abruzzi 24, I-110129 Turin, Italy..
    D'Addona, Doriana M.
    Univ Napoli Federico II, Dept Chem Mat & Ind Prod Engn, Naples, Italy..
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Modrak, Vladimir
    TUKE, Kosice, Slovakia..
    Putnik, Goran
    UMINHO, Braga, Portugal..
    Stadnicka, Dorota
    Rzeszow Univ Technol, Al Powstancow Warszawy 12, PL-35959 Rzeszow, Poland..
    Stylios, Chrysostomos
    Technol Educ Inst Epirus, Kostakioi Arta 47100, Greece..
    Tiphys: An Open Networked Platform for Higher Education on Industry 4.02019In: 12TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING / [ed] Teti, R DAddona, DM, ELSEVIER SCIENCE BV , 2019, p. 706-711Conference paper (Refereed)
    Abstract [en]

    Objective of Tiphys project is building an Open Networked Platform for the learning of Industry 4.0 themes. The project will create a Virtual Reality (VR) platform, where users will be able to design and create a VR based environment for training and simulating industrial processes but they will be able to study and select among a set of models in order to standardize the learning and physical processes as a virtual representation of the real industrial world and the required interactions so that to acquire learning and training capabilities.. The models will be structured in a modular approach to promote the integration in the existing mechanisms as well as for future necessary adaptations. The students will be able to co-create their learning track and the learning contents by collaborative working in a dynamic environment. The paper presents the development and validation of the learning model, built on CONALI learning ontology. The concepts of the ontology will be detailed and the platform functions will be demonstrated on selected use cases.

  • 4.
    Archenti, Andreas
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Machine and Process Technology.
    Maffei, AntonioKTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Proceedings of the International Conference on Advanced Manufacturing Engineering and Technologies2013Conference proceedings (editor) (Refereed)
  • 5.
    Bjelkemyr, Marcus
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Handling complexity in Evolvable Production Systems2010In: IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE 2010), 2010, p. 2664-2668Conference paper (Refereed)
    Abstract [en]

    Current demand for agile and sustainable production systems increases the needs of strategies to cope with the arising complexity of product transformation. In the EPS framework these strategies include a process-oriented modularization as well as distributed control solutions based on Multi-Agent technology. Reference Architecture and ontological representation of the logical and physical links in the system are at the basis of developing and running a production system in an EPS environment. This paper provides a review of EPS features and their effects on the complexity and the ability to handle it.

  • 6.
    Bjelkemyr, Marcus
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Evolvable Production Systems: A Coalition-Based Production Approach2011In: Handbook of Research on Mobility and Computing: Evolving Technologies and Ubiquitous Impacts / [ed] Maria Manuela Cruz-Cunha and Fernando Moreira, IGI Global, 2011, p. 821-835Chapter in book (Refereed)
  • 7.
    Chen, De Jiu
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Embedded Control Systems.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    De Sousa Dias Ferreira, João
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Akillioglu, Hakan
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Khabazzi, Mahmood Reza
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Zhang, Xinhai
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Embedded Control Systems.
    A Virtual Environment for the Management and Development of Cyber-Physical Manufacturing Systems2015In: IFAC DCDS15, IFAC Papers Online, 2015, Vol. 48, p. 29-36Conference paper (Refereed)
    Abstract [en]

    Modern machineries are often cyber-physical system-of-systems controlled by intelligent controllersfor collaborative operations on the productions of complex products. To assure theefficiency and effectiveness, a consolidation of concerns across managerial levels, product lifecyclestages, and product lines or families becomes necessary. This calls for a common informationinfrastructure in terms of ontology, models, methods and tools. For industrial manufacturerssubjected to increased cost pressure and market volatility, the availability of such an informationinfrastructure would promote their abilities of making optimized and proactive decisions andthereby their competitiveness and survivability. This paper presents a virtual environment thatconstitutes an information infrastructure for the management and development of evolvableproduction systems (EPS) in manufacturing. It adopts mature modeling frameworks throughEAST-ADL for an effective model-based approach. The contribution is centered on a meta-modelthat offers a common data specification and semantic basis for information management acrossproduct lifecycle, models and tools, both for resource planning and for anomaly treatment. Aprototype tool implementation of this virtual environment for validation is also presented.

  • 8.
    Dias-Ferreira, Joao
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ribeiro, Luis
    Akillioglu, Hakan
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Characterization of an Agile Bio-inspired Shop-Floor2014In: 2014 12TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2014, p. 404-410Conference paper (Refereed)
    Abstract [en]

    Sustainability is currently one of the biggest challenges and drivers of manufacturing industry. With traditional automation approaches becoming evermore inadequate to support sustainable mass customized production, the research focus is moving towards agile systems that enact companies with the ability to quickly reconfigure their shop-floors by seamlessly deploying or removing modules. Such systems are envisioned as key for attaining a profitable and sustainable industrial development. In this sense, this paper attempts to characterize an innovative approach that relies on bio-inspired concepts as the main control mechanism, in order to foster sustainability by attaining the necessary shop-floor agility. Furthermore an experimental setup is presented and the results are analysed, in order to understand the influence and impact of the main properties of the approach towards the system performance.

  • 9.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Characterisation of the Business Models for Innovative, Non-Mature Production Automation Technology2012Doctoral thesis, monograph (Other academic)
    Abstract [en]

    Manufacturing companies are nowadays facing an unprecedented series of challenges to their survival: global competition and product mass-customization are the shaping forces of tomorrow’s business success. The consequent need for agile and sustainable production solutions is the utmost motivation behind the development of innovative approaches which often are not in line with the state of art. It is well documented that companies fail in recognizing how such disruptively innovative approaches can yield an interesting economic output. This, in turn, enhances the risk of leaving the aforementioned promising technologies conceptually and practically underdeveloped.  In the field of automatic production systems the Evolvable Production System paradigm proposes modular architectures with distributed, autonomous control rather than integral design and hierarchical, centralized control. EPS technology is thus disruptive: it refuses the present paradigm of Engineer to Order in industrial automation by proposing an advanced Configure to Order system development logic.

    This dissertation investigates the possibility of using the recent sophisticated developments of the concept of Business Model as a holistic analytical tool for the characterization and solution of the issue of bringing disruptive and non-fully mature innovation to proficient application in production environments. In order to purse this objective the main contributions in the relevant literature have been extracted and combined to an original definition of business model able to encompass the aspects deemed critical for the problem. Such a construct is composed of three elements: (1) Value Proposition that describe the features of a technology that generates value for a given customer, (2) the Value Configuration and the (3) Architecture of the Revenue which describe the mechanisms that allows to create and capture such value respectively.   

    The subsequent work has focused on the EPS paradigm as a specific case of the overall problem. The first step has been a full characterization of the related value proposition through an innovative approach based on a bottom-up decomposition in its elementary components, followed by their aggregation into meaningful value offerings: with reference to the EPS paradigm such an approach has disclosed an overall value proposition composed of six potentially independent value offerings. This collection of Value Offerings has then been used as a basis to generate the EPS business models. In particular for each single offering a possible set of necessary activities and resources has been devised and organized in a coherent value configuration. The resulting creation mechanisms have then been linked among each other following a logical supplier-customer scheme for capturing the value: this allowed establishing the architecture of revenue, last element of the overall production paradigm. Finally the results have been validated in a semi-industrial system developed for the (IDEAS, 2010-2013) project through the individuation of the areas of application of such business models.

  • 10.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Evolvable production systems: A new business environment2011In: Proc. - IEEE Int. Symp. Assem. Manuf., ISAM, 2011, p. 5942341-Conference paper (Refereed)
    Abstract [en]

    The increasing threats and opportunities, on the global markets, challenge today the company at several levels. The actual Manufacturing Systems becomes dramatic for the survival and prosperity of the organization. Agility, Sustainability and high rate of Re-usability are the main objectives of an Evolvable Production System. Task-specific and process-oriented modules with embedded intelligence, together with distributed control based on agent technology are the cornerstones of an EPS. The realization and management of this kind of systems entail an ontological approach due to their implicit complexity. The reference architecture is the key to canalize the underlying holism of an EPS towards an effective instantiation, which exploits the Emergent Behavior, the key driver of the Evolvability of a system. The issues related with the application of this view, such as dynamic link between product and system design as well as the management of a module repository, underline the weakness of present business models. Therefore a model for the emplacement of a System that follows the Evolvable Paradigm predicament has been produced in order to enable further studies. One of the conclusions of the work is the need for a more suitable approach to business by the main actors involved in the realization of an EPS. Sharing information and standards about product design and modules realization becomes a compulsory strategic

  • 11.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Evolvable Production Systems: foundations for new business models2010Licentiate thesis, comprehensive summary (Other academic)
  • 12.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Akillioglu, Hakan
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Flores, Luis
    CTO, Engineering Director Introsys – Global Control System Designers .
    Characterization of costs and strategies for automation in Evolvable Production Systems2013In: Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, IEEE conference proceedings, 2013, p. 4866-4871Conference paper (Refereed)
    Abstract [en]

    The rise of global competition and the demands for mass customization observed in recent years are the main shaping forces of the manufacturing domain. Current approaches to industrial production automation are not suitable to cope with the resulting increasing requirement in term of system agility and sustainability. While a quite large amount of innovative and sound technical solutions for automation address such an issue, it is not clear how the new generation of automatic production system will be economically connoted. This work proposes a first step towards an economical characterization of the Evolvable Paradigm: one among the most promising aforementioned innovative industrial automation technologies. A basic description of the state-of-the-art of the related Evolvable Assembly/Production System allows inferring a cost model able to account for such an installation. This, in turn, enable a quantitative description of how the focal innovative approach enables a more effective and rational use of industrial automation.

  • 13.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Akillioglu, Hakan
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems. KTH, School of Industrial Engineering and Management (ITM), Centres, Design and Management of Manufacturing Systems, DMMS.
    Lohse, Niels
    Analysis of the Student Perception of the Link between Product and Production System: Towards Effective Strategies to Teach the Holistic Nature of Product Design2014In: International journal of engineering education, ISSN 0949-149X, Vol. 30, no 6, p. 1357-1366Article in journal (Refereed)
    Abstract [en]

    Product design has a huge and widespread impact on the eventual design of the related production processes, such as procurement, manufacturing, assembly, maintenance and recycling, amongst others. Understanding the full the nature of such a complex relationship is a cornerstone in the professional development of any production engineering student and practitioner. Acquiring sophisticated concepts is a long process consisting of acquiring the necessary notions and mentally structuring them through different semantic links in a consistent body of knowledge. This generates a large set of intermediate states between the novice and the expert. Phenomenography focuses on identifying and classifying these perceptions with the aim of identifying the related pattern for good learning. In particular, this phenomenographic analysis focuses on investigating the students' perception of the articulated link between the design of a product and that of the related assembly process. The study is based on courses that exploit the principles of Design for Assembly (DFA) methods to present and detail such a domain. In the first section of the paper, the aforementioned focal issue is fully characterized as a 'Threshold Concept'. The central part of the paper describes five generic levels of understanding of such a matter: from a simple mechanical use of DFA to a more sophisticated correct holistic understanding of all the implications of such a tool. The classification has been inferred through a series of informal, semi-structured interviews with the students. The characterization introduced is finally discussed with the aim of disclosing the pattern of good learning that, in turn, could provide the base for studies aimed at disclosing useful hints for the effective development of the related teaching activities.

  • 14.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Akillioglu, Hakan
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Ferreira, Joao
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Emerging Behavior as Driver for the Sustainability of a Modular, "Skills-Centric" Production System2011In: IEEE AFRICON 2011, IEEE , 2011Conference paper (Refereed)
    Abstract [en]

    The current main challenge for the future production system lies in the correct integration of the issues related to sustainability and to agility. The "Evolvable Paradigm" addresses this concern with a new way of engineering the whole production system. The concept of Skill is declined as common denominator between the definitions of manufacturing process and manufacturing equipment. Each production module holds some of the skills that compose the process definition and it is endowed with the necessary intelligence to come together with the other modules in an organized society. This work introduces the approach adopted in the IDEAS project (Instantly Deployable Evolvable Assembly System) to cope with the above mentioned requirement through the presented paradigm. While fully featured and described IDEAS mechatronic architecture allows rapid reconfiguration of the system, the issue of sustainability is targeted by the open definition of the concepts of skill and skills interaction. The result of skill aggregation is hereby called Emergent Behavior and in the proposed model it can be seen as the main driver for the sustainable use of the system.

  • 15.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Boffa, Eleonora
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Nuur, Cali
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.).
    An Ontological Framework for the Analysis of Constructively Aligned Educational Units2019In: ADVANCES IN MANUFACTURING II, VOL 3 - QUALITY ENGINEERING AND MANAGEMENT / [ed] Hamrol, A Grabowska, M Maletic, D Woll, R, SPRINGER-VERLAG BERLIN , 2019, p. 185-193Conference paper (Refereed)
    Abstract [en]

    Higher education institutions are increasingly abandoning traditional teaching methods based on transmissive pedagogy and embracing a model based on the constructivist theory of learning. This is a necessary shift to face current challenges in their domain such as shrinking resources and need to reach students with different level of motivation and learning styles. Constructive Alignment (CA) combines the new pedagogical approach with aligned design for outcome-based teaching education and it is the leading approach under-pinning current requirements for program specification and single course description. Another important trend emerging from digitalization of higher education is the collection and use of educational data to improve all the aspects of the learning process. This research community has produced a large body of valuable tools and methods, but there is no specific contribution targeting the analysis of constructively aligned education. The CONALI ontology is an ongoing modelling effort that currently provides a framework to describe the CA body of knowledge including all the relevant semantic relationships. This paper presents a new version of such ontology that supports collection and analysis of educational data from constructively aligned educational units as a first step to fill the gap described above. The specific requirements for this iterative upgrade have been inferred from a literature review of the typical analysis conducted in the domain of educational big data.

  • 16.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Daghini, Lorenzo
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Archenti, Andreas
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Lohse, N.
    Loughborough University.
    CONALI Ontology. A Framework for Design and Evaluation of Constructively Aligned Courses in Higher Education: Putting in Focus the Educational Goal Verbs2016In: Procedia CIRP, Elsevier, 2016, p. 765-772Conference paper (Refereed)
    Abstract [en]

    An increasing number of Higher Education professionals have embraced the Constructivism theory in contrast with the traditional transmissive pedagogy approach where the focal figure is the teacher. Constructivists emphasizes that the learners acquire, or construct, knowledge through their own activities and previous knowledge. Teacher role is to set up an environment that can provide a good learning experience for the students. In view of this the alignment of the intended learning outcome (ILO) with the teaching and learning activity (TLA) and the assessment task (AT) of the course becomes an important requirement for good learning. The driver of the alignment is the educational goal verb (EGV) that represents the educational goal underling a specific intended learning outcome (ILO). This verb should be elicited by the course's TLA and be the base for the consequent AT. The convergence of constructivism with this concept generates the constructive alignment pedagogical paradigm. The CONALI ontology answers the requirement for a structured framework to describe the vast body of knowledge developed in such a field. The salient aspects of constructive alignment have been extracted and classified in a comprehensive taxonomy. The following description of the semantic relationships among the different classes resulted in the CONALI ontology. The chosen modelling language is OWL: this provides the possibility to describe in a computer understandable way a higher education courses to an unprecedented level of detail. OWL enables also the creation of a specific knowledge base by populating the model. The knowledge base can then be analysed and interrogated on many important issues concerning the alignment of the instantiated course. The CONALI ontology becomes an important tool to design and synthesize the related domain knowledge. This paper proves the usability of CONALI ontology as tool to represent the courses in an engineering program and evaluate the alignment of their activities. The specific instantiation is based on the Industrial Engineering program at KTH Royal Institute of Technology in Stockholm, Sweden.

  • 17.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Ferreira, Pedro
    A FRAMEWORK FOR PHENOMENOGRAPIC ANALYSIS AND CLASSIFICATION OF TROUBLESOME KNOWLEDGE IN THE ENGINEERING DOMAIN2016In: EDULEARN16: 8TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES / [ed] Chova, LG Martinez, AL Torres, IC, IATED-INT ASSOC TECHNOLOGY EDUCATION A& DEVELOPMENT , 2016, p. 5882-5888Conference paper (Refereed)
    Abstract [en]

    The design of effective teaching and learning activities must create an experience able to elicit the intended learning outcomes of the educational unit. For this purpose, it is then fundamental to account for the different ways students can experience the specific content taught. This paper introduces a structured approach to perform phenomenographic studies aimed at disclosing the most common student perceptions of a given topic and highlight the patterns that can bring students with poor understanding of the target concept to a more sophisticated perception. The method has been formulated based on specific cases in the production engineering domain. In detail a phenomenographic study the first step is to describe, as a knowledgeable person would do, both the subject of the study and its domain. This description is then considered the target perception of the focal topic. In the second phase the students that have already been assessed for the educational unit in exam must be interviewed with open question about both subject and domain. Their answer must be plotted according to sound parameters along two dimension (again subject and domain related) of increasingly sophisticated level of understanding. The result of such interview must be then classified in clusters of understanding that will give the different common perception of the students about the given topic. Finally, the relation among the cluster must be studied with the aim of disclosing suitable teaching and learning activities to help students migrate to a perception cluster close to the above-mentioned target perception.

  • 18.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Grahn, Sten
    Nuur, Cali
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    Characterization of the impact of digitalization on the adoption of sustainable business models in manufacturing2019In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 81, p. 765-770Article in journal (Refereed)
    Abstract [sv]

    Sustainability and digitalization are fast growing sub-topics in the domain of manufacturing research and they will both be main forces shaping the future production systems. An overview of the related literature reveals two big bodies of knowledge being created in these fields, but also a little intersection among them. The reason lies in the fact that while digitalization is a trend aimed mainly at technological advancement, sustainability requires a long term commitment to reshape the whole approach to business of a manufacturing firm. However, there is a growing indication in literature that digitalization can be a powerful tool in the necessary road towards sustainable manufacturing. This work analyses the related scientific contribution through the lens of the concept of Business Model (BM) and Business Model Innovation (BMI) as understood by leading economic literature. The result is a characterisation, and when possible a description of the ways digitalization can support manufacturing firms in the adoption of sustainable business models.

  • 19.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Hofmann, Andreas
    From Flexibility to true Evolvability: an introduction to the basic requirements2010Conference paper (Other academic)
    Abstract [en]

    In the field of production engineering, most of the past paradigms introduced automation and computer science at shopfloor level based on the concept of system flexibility. Nevertheless their limits in approaching some fundamental areas such as the modularisation or the control issues, make them unsuitable to tackle the current dynamic scenarios & challenges. In this paper a review of past approaches, underlining their weaknesses, leads to propose a methodology for the creation of a manufacturing system, based on the Evolvable Paradigm. The salient points of this scheme are the process oriented approach to modularisation and the link between the development of the system and the design of the product. The potential economical benefits can render automation a sustainable solution even for SMEs. One fundamental requirement to pursue Full Autonomy and Evolvability is to deeply study the processes in order to represent them at hardware level, enabling the exploitment of the Emergent Behavior by the Control System, that for this reason has to be distributed.

  • 20.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Dias Ferreira, João
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Barata, José
    Characterization of the Student Perception of Flexibility in the Manufacturing Domain: Highlighting the Patterns of Effective Learning2014In: Proceeding of: 8th International Technology, Education and Development Conference - INTED 2014, At Valencia, Spain, Valencia, 2014Conference paper (Refereed)
    Abstract [en]

    The word “flexibility” is often abused and not univocally understood within the manufacturing science domain and in particular in the context of industrial automation. Since the raise of industrial robots in the 1960’, different researchers and practitioners have been using such a common word with different meanings. This has generated a very articulated concept, spanning from capability of a system to increase the production volumes to ability to handle product mix variation. Several authors have tried to count the current meanings of such a word in manufacturing and someone arrived to more than 50!. In spite of this fuzziness in both the definition and scope, the concept of flexibility remain one of the cornerstones in the curriculum of industrial and production engineers, and it appears in many courses along the bachelor and master studies. The apparent paradox that higher education institutions have to teach things that are not even well-defined and agreed in the scientific world is, in fact, quite a usual practice. In order to clarify what is, or should be, learnt this work analyzes first the established literature to extract a “working” characterization of the flexibility concept. The resulting understanding is then used to represent the experts’ perception of the topic which in turn is used as ideal level of understanding that a student should achieve her/himself when studying such a concept.   

    The second phase of the work aims at disclosing and classifying the multifaceted perceptions of flexibility that two different classes of industrial engineering students have after two courses in which the focal concept of manufacturing flexibility has been presented using two different approaches. The research is based on a phenomenographic analysis of a series of well-designed interviews to the students. The collected data have consequently been structured in a finite set of clusters according of: (1) the level of understanding of the key concept (as expressed in the Bloom’s taxonomy) and (2) the nature of the shown knowledge (as presented in the SOLO taxonomy). The classification is then the basis for defining an epistemological sound approach to develop suitable teaching and learning activities to ensure optimal acquisition of the concept of flexibility.

  • 21.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Dias-Ferreira, Joao
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Barata, Jose
    UNINOVA UNL, Lisbon, Portugal..
    CHARACTERIZATION OF THE STUDENT PERCEPTION OF THE CONCEPT OF FLEXIBILITY IN THE MANUFACTURING DOMAIN: HIGHLIGHTING THE PATTERNS OF EFFECTIVE LEARNING2014In: INTED2014: 8TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE / [ed] Chova, LG Martinez, AL Torres, IC, IATED-INT ASSOC TECHNOLOGY EDUCATION A& DEVELOPMENT , 2014, p. 4759-4767Conference paper (Refereed)
    Abstract [en]

    The word "flexibility" is often abused and not univocally understood within the manufacturing science domain and in particular in the context of industrial automation. Since the raise of industrial robots in the 1960', different researchers and practitioners have been using such a common word with different meanings. This has generated a very articulated concept, spanning from capability of a system to increase the production volumes to ability to handle product mix variation. Several authors have tried to count the current meanings of such a word in manufacturing and someone arrived to more than 50 [1]!. In spite of this fuzziness in both the definition and scope, the concept of flexibility remain one of the cornerstones in the curriculum of industrial and production engineers, and it appears in many courses along the bachelor and master studies. The apparent paradox that higher education institutions have to teach things that are not even well-defined and agreed in the scientific world is, in fact, quite a usual practice. In order to clarify what is, or should be, learnt this work analyzes first the established literature to extract a "working" characterization of the flexibility concept. The resulting understanding is then used to represent the experts' perception of the topic which in turn is used as ideal level of understanding that a student should achieve her/himself when studying such a concept. The second phase of the work aims at disclosing and classifying the multifaceted perceptions of flexibility that two different classes of industrial engineering students have after two courses in which the focal concept of manufacturing flexibility has been presented using two different approaches. The research is based on a phenomenographic analysis of a series of well-designed interviews to the students [2]. The collected data have consequently been structured in a finite set of clusters according of: (1) the level of understanding of the key concept (as expressed in the Bloom's taxonomy [3]) and (2) the nature of the shown knowledge (as presented in the SOLO taxonomy [4]). The classification is then the basis for defining an epistemological sound approach to develop suitable teaching and learning activities to ensure optimal acquisition of the concept of flexibility.

  • 22.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Dias-Ferreira, João
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Barata, J.
    Characterisation of the student perception of the concept of flexibility in the manufacturing domain: Highlighting the patterns of effective learning2014In: Global Journal of Engineering Education, ISSN 1328-3154, Vol. 16, no 2, p. 80-87Article in journal (Refereed)
    Abstract [en]

    This work introduces a phenomenographic analysis of the concept of flexibility in the domain of production science. Flexibility is a cornerstone in the education of industrial and production engineers; however, it still appears as a broadly and even inconsistently defined construct. In order to clarify what is or should be learnt, this work analyses first the established literature to extract a working characterisation of the flexibility concept. The resulting understanding is then used to represent the experts' perception of the topic, which in turn is used as the ideal level of understanding that a student should achieve herself/himself when studying such a concept. The second phase of the work aims at disclosing and classifying the multifaceted perceptions of flexibility that two classes of industrial engineering students have after two courses in which the focal concept of manufacturing flexibility has been presented using two different approaches. The research is based on a survey completed by students. The data collected have consequently been structured into a finite set of clusters according to: a) the level of understanding of the key concept; and b) the nature of the shown knowledge. The classification is, then, the basis for defining an epistemologically sound approach to develop suitable teaching and learning activities to ensure optimal acquisition of the concept of flexibility.

  • 23.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Neves, Pedro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Identification of the value proposition of an evolvable production system2013In: Proceedings of the 9th International Symposium on Mechatronics and its Applications (ISMA13), IEEE , 2013, p. 6547366-Conference paper (Refereed)
    Abstract [en]

    Current production paradigms and related biases concerning automation are an obstacle for the technological development and subsequent application of intelligent assembly solutions such as the automation based on the evolvable paradigm. A deeper understanding of the potential behind such technology is a fundamental step towards a proficient industrial embodiment. The concept of Value Proposition can be used as a holistic analytical tool able to support a full characterization of the appeal that such technology has on the assembly automation market. The two dimensional bottom-up approach proposed in this work allows the identification and description of six potential value offerings connected with an Evolvable Assembly system, which in turn pave the way to more efficient business models.

  • 24.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Dencker, Kerstin
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Bjelkemyr, Marcus
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    From Flexibility to Evolvability: ways to achieve Self-Reconfigurability and Full-Autonomy2009In: 9th IFAC Symposium on Robot Control, SYROCO '09, Gifu, Japan, 2009, Vol. 42, p. 74-79Conference paper (Refereed)
    Abstract [en]

    In the field of production engineering the past paradigms have focused on the concept of system flexibility; introducing both automation and computer science at shop floor level. Nevertheless their limits in approaching some fundamental areas, such as modularization and control issues, make them unsuitable for tackling the challenges in the manufacturing scenario of today. In this paper the past approaches with their underlining weaknesses have been reviewed, which leads up to the proposal of a methodology for the creation of a manufacturing system that is based on the Evolvable Paradigm. The salient points of this scheme are: the process oriented approach to modularization, the link between the development of the system and the design of the product. Fundamental requirements in pursuing these issues are to deeply study the processes in order to represent them at the hardware level, and to develop a distributed control system to handle emergent behaviour. The potential economical benefits that come from the Evolvable Paradigm include that automation can be a sustainable approach both large enterprises and for SMEs.

  • 25.
    Maffei, Antonio
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Neves, Pedro
    Barata, Jose
    Evolvable production systems:: Mechatronic Production Equipment with Evolutionary Control2010In: IFIP Advances in Information and Communication Technology / [ed] CamarinhaMatos LM; Pereira P; Ribeiro L, 2010, Vol. 314, p. 133-142Conference paper (Refereed)
    Abstract [en]

    Current major roadmapping efforts have all clearly underlined that true industrial sustainability will require far higher levels of systems' autonomy and adaptability. In accordance with these recommendations, the Evolvable Production Systems (EPS) has aimed at developing such technological solutions and support mechanisms. Since its inception in 2002 as a next generation of production systems, the concept is being further developed and tested to emerge as a production system paradigm. Characteristically, Evolvable systems have distributed control, and are composed of intelligent modules with embedded control. A concerted effort is being exerted through European research projects in collaboration with manufacturers, technology/equipment suppliers, and universities. After introducing EPS, this paper presents current developments and applications.

  • 26.
    Mahmood Reza, Khabbazi
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Wikander, Jan
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Bergseth, Ellen
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Machine Design (Div.).
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Assembly Feature Data Instance Modeling: Prototype Implementation and Outputs2017In: 2017 INTERNATIONAL CONFERENCE ON MECHANICAL, SYSTEM AND CONTROL ENGINEERING (ICMSC), IEEE , 2017, p. 343-347Conference paper (Refereed)
    Abstract [en]

    This paper introduces the assembly feature data schema instance modeling to pre-examine the schema functionality and output- as the preliminary step for data modeling. In order to link assembly with product design, it is essential to determine which entities of product design are involved at the automated assembly planning and operations. It is possible to assign meaningful attributes (assembly features) to the part model entities in a systematic and structured way. Using object-oriented design, the assembly feature data structure and its relationships are modeled. As a part of the research on product and assembly system data integration within the evolvable production system platform, the instance models for proposed assembly feature data structure provide a deeper understanding and error reduction that might possibly occur at the development of the database. Moreover through instance modeling, the assembly feature data query output format from the database prototype is simulated. An industrial assembly model example with its 3DPart models is chosen to demonstrate the realized assembly feature data set with string data type. The models support the desired simplicity at the database prototype implementation. The output format envisions the interoperability factor between product models and the assembly planning systems.

  • 27.
    Mahmood Reza, Khabbazi
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Wikander, Jan
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Chen, De-Jiu
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Module-based Quality System Functionality Evaluation in Production Logistics2016In: Journal of Industrial Engineering and Management, ISSN 2013-8423, E-ISSN 2013-0953, Vol. 9, no 2, p. 310-329Article in journal (Refereed)
    Abstract [en]

    Purpose: This paper addresses a comprehensive modeling and functionality evaluation of amodule-based quality system in production logistics at the highest domain abstract level ofbusiness processes.

    Design/methodology/approach: All domain quality business processes and quality datatransactions are modeled using BPMN and UML tools and standards at the business process anddata modeling. A modular web-based prototype is developed to evaluate the models addressingthe quality information system functionality requirements and modularity in production logisticsthrough data scenarios and data queries.

    Findings: Using the object-oriented technique in design at the highest domain level, theproposed models are subject further development in the lower levels for the implementing case.The models are specifically able to manipulate all quality operations including remedy and controlin a lot-based make-to-order production logistics system as an individual module.

    Practical implications: Due to the specification of system as domain design structure, allproposed BPMs, data models, and the actual database prototype are seen referential if not asolution as a practical “to-be” quality business process re-engineering template. 

    Originality/value: this paper sets out to provide an explanatory approach using differentpractical technique at modeling steps as well as the prototype implementation.

  • 28.
    Neves, Pedro
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ferreira, João
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Akillioglu, Hakan
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Evolvable Production Systems: Recent Developments and Research Directions2012Conference paper (Refereed)
  • 29.
    Neves, Pedro
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Ribeiro, L.
    Dias-Ferreira, Joao
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Maruo
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Barata, J.
    Data-mining approach to support layout configuration decision-making in Evolvable Production Systems2014In: Conference Proceedings / IEEE International Conference on Systems, Man and Cybernetics, ISSN 1062-922X, Vol. 2014-January, no January, p. 3649-3656Article in journal (Refereed)
    Abstract [en]

    Computational and communication capabilities are increasingly being used in all devices. In the production context this leads to the generation of massive amounts of data that are rarely proficuously used. More particularly the application of data-mining techniques to infer knowledge from systems’ operation to improve its design decisions remains fairly unexplored. This article presents an approach to extract system design and configuration rules from Evolvable Production Systems. Furthermore it provides the empirical results from two test-cases that support the hypothesis that a simulation-data-mining approach can help reducing the complexity of the work carried by system designers and production managers. © 2014 IEEE.

  • 30.
    Onori, Mauro
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    A Preliminary Study of Business Model for Evolvable Production Systems2009In: Proceedings of the IEEE/ISAM-International Symposium on Assembly and Manufacturing: IEEE/ISAM 2009, Seoul, Korea: IEEE , 2009, p. 402-407Conference paper (Refereed)
    Abstract [en]

    The aim of this paper is to define, through asurvey of the current achievements within the EvolvableParadigm universe, the potential target companies for theEvolvable Manufacturing Systems and to describe somefeatures of a business model that fits the EPS structureand requirements. Therefore, the new, main, concernssurfacing by the introduction of the Evolvable Paradigminto the industrial field have been underlined and analysedin order to put into evidence the economical advantagesachievable with their adoption. A simplified version of theEPS methodology is hereby presented as a framework inwhich concept like life cycle of a product, investmentevaluation tools and “coopetition” have been integratedenabling crossed considerations.

  • 31.
    Onori, Mauro
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Evolvable Production System: Business Perspective2010In: IEEE International Conference on Materials, Mechatronics and Automation / [ed] Dehuai Zeng, IEEE , 2010, , p. 4Conference paper (Refereed)
  • 32.
    Onori, Mauro
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Evolvable Production Systems: environment for new business models2011In: Materials, Mechatronics and Automation, Pts 1-3, Trans Tech Publications Inc., 2011, Vol. 467-469, p. 1592-1597Conference paper (Refereed)
    Abstract [en]

    The increasing threats and opportunities, on the global markets, challenge today the company at several levels. The actual Manufacturing Systems becomes dramatic for the survival and prosperity of the organization. Agility, Sustainability and high rate of Re-usability are the main objectives of an "Evolvable Production System". Task-specific and process-oriented modules with embedded intelligence, together with distributed control based on agent technology are the cornerstones of an EPS. The realization and management of this kind of systems entail an ontological approach due to their implicit complexity. The reference architecture is the key to canalize the underlying holism of an EPS towards an effective instantiation, which exploits the "Emergent Behavior", the key driver of the Evolvability of a system. The issues related with the application of this view, such as dynamic link between product and system design as well as the management of a module repository, underline the weakness of present business models. Therefore a model for the emplacement of a System that follows the "Evolvable Paradigm" predicament has been produced in order to enable further studies. One of the conclusions of the work is the need for a more suitable approach to business by the main actors involved in the realization of an EPS. Sharing information and standards about product design and modules realization becomes a compulsory strategic choice.

  • 33.
    Onori, Mauro
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Barata, Jose
    UNINOVA.
    Evolvable Assembly Systems: Latest Developments2008In: 8th International Conference on Evolvable Systems: From Biology to Hardware, Prag, Tjeckien, 2008Conference paper (Refereed)
    Abstract [en]

    Presented in 2002, and applied within the EUPASS[1] and A3 [1]projects, Evolvable Assembly Systems (EAS) proposes a novel way of applying assembly systems in industry. The essence of EAS resides in the ability of system components to adapt to the changing conditions of operation, but also to assist in the evolution of these components in time such that processes may become more robust. The system modules are derived from precise product process requirements, thus creating a dynamic product-production link. Its methodology supports maintenance aspects, and legacy systems may be integrated. EAS also enforces the idea that ubiquitous computing and distributed control are best suited for such endeavors. This article will present the latest developments, applications and conclusions drawn to date.

    [1]EUPASS-Evolvable Ultra Precision Assembly, NMP-2-CT-2004-507978

  • 34.
    Onori, Mauro
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Durand, Friedrich
    ELREST GmbH, Kirchheim, Germany.
    The IDEAS Plug & Produce System2013In: Proceedings of the International Conference on Advanced Manufacturing Engineering and Technologies / [ed] Andreas Archenti and Antonio Maffei, 2013, p. 339-346Conference paper (Refereed)
    Abstract [en]

    Current major roadmapping efforts have all clearly underlined that true industrial sustainability will require far higher levels of systems’ autonomy and adaptability. In accordance with these recommendations, the Evolvable Production Systems (EPS) has aimed at developing such technological solutions and support mechanisms. Since its inception in 2002 as a next generation of production systems, the concept is being further developed and tested to emerge as a production system paradigm. The essence of evolvability resides not only in the ability of system components to adapt to the changing conditions of operation, but also to assist in the evolution of these components in time. Characteristically, Evolvable systems have distributed control, and are composed of intelligent modules with embedded control. To assist the development and life cycle, a methodological framework is being developed. After validating the process-oriented approach (EC FP6 EUPASS project), EPS now tackles its current major challenge (FP7 IDEAS project) in proving that factory responsiveness can be improved using lighter Multi-Agent technology running on EPS modules (modules with embedded control). This article will detail the particular developments within the IDEAS project, which include the first self re-configuring system demonstration and a new mechatronic architecture.

  • 35.
    Semere Tesfamariam, Daniel
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Onori, Mauro
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Maffei, Antonio
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Adamietz, Raphael
    Evolvable Assembly Systems Coping with Variations through Evolution2008In: Journal of Assembly Automation, ISSN 0144-5154, Vol. 28, no 2, p. 126-133Article in journal (Refereed)
    Abstract [en]

    Purpose – The main features of evolvable systems include distributed control, a modularized, intelligent and open architecture, a comprehensive and multi-dimensional methodological support that comprises the reference architecture. Furthermore, integration of legacy subsystems and modules has been addressed in the methodology. This paper aims to present the latest developments, applications and conclusions drawn to date.

    Design/methodology/approach – Evolvable assembly system is a new methodology in itself, and is currently being applied within several European projects. Evolvable assembly goes beyond reconfigurability and offers continuous evolution of the system.

    Findings – The work has been, and is being, implemented through large European research projects. Evolvability, being a system concept, is envisaged addressing every aspect of an assembly system throughout its life cycle, i.e. design and development, operation and evolution.

    Research limitations/implications – This paper presents the latest developments, applications and conclusions drawn to date.

    Originality/value – The paper presents the methodology and the latest application of it, which is industrial. This is the first application that offers self-configuration of the equipment.

1 - 35 of 35
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