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Maffei, A., Grahn, S. & Nuur, C. (2019). Characterization of the impact of digitalization on the adoption of sustainable business models in manufacturing. Procedia CIRP, 81, 765-770
Open this publication in new window or tab >>Characterization of the impact of digitalization on the adoption of sustainable business models in manufacturing
2019 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 81, p. 765-770Article in journal (Refereed) Published
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.

National Category
Other Engineering and Technologies
Identifiers
urn:nbn:se:kth:diva-256335 (URN)2-s2.0-85068447692 (Scopus ID)
Note

QC 20190902

Available from: 2019-08-22 Created: 2019-08-22 Last updated: 2019-09-02Bibliographically approved
Antonelli, D., D'Addona, D. M., Maffei, A., Modrak, V., Putnik, G., Stadnicka, D. & Stylios, C. (2019). Tiphys: An Open Networked Platform for Higher Education on Industry 4.0. In: Teti, R DAddona, DM (Ed.), 12TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING: . Paper presented at 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), JUL 18-20, 2018, Naples, ITALY (pp. 706-711). ELSEVIER SCIENCE BV
Open this publication in new window or tab >>Tiphys: An Open Networked Platform for Higher Education on Industry 4.0
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2019 (English)In: 12TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING / [ed] Teti, R DAddona, DM, ELSEVIER SCIENCE BV , 2019, p. 706-711Conference paper, Published 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.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV, 2019
Series
Procedia CIRP, ISSN 2212-8271 ; 79
Keywords
Industry 4.0, Social network-based education, Constructive alignment, Ontology, Knowledge base, Virtual reality
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-255249 (URN)10.1016/j.procir.2019.02.128 (DOI)000471253000123 ()2-s2.0-85065428215 (Scopus ID)
Conference
12th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), JUL 18-20, 2018, Naples, ITALY
Note

QC 20190729

Available from: 2019-07-29 Created: 2019-07-29 Last updated: 2019-07-29Bibliographically approved
Mahmood Reza, K., Wikander, J., Bergseth, E., Maffei, A. & Onori, M. (2017). Assembly Feature Data Instance Modeling: Prototype Implementation and Outputs. In: 2017 INTERNATIONAL CONFERENCE ON MECHANICAL, SYSTEM AND CONTROL ENGINEERING (ICMSC): . Paper presented at International Conference on Mechanical, System and Control Engineering (ICMSC), MAY 19-21, 2017, St Petersburg, RUSSIA (pp. 343-347). IEEE
Open this publication in new window or tab >>Assembly Feature Data Instance Modeling: Prototype Implementation and Outputs
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2017 (English)In: 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.

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
assembly automation, assembly modeling, assembly feature, instance modeling, unified modeling language
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:kth:diva-211425 (URN)000405221400068 ()2-s2.0-85025826079 (Scopus ID)978-1-5090-6530-1 (ISBN)
Conference
International Conference on Mechanical, System and Control Engineering (ICMSC), MAY 19-21, 2017, St Petersburg, RUSSIA
Note

QC 20170802

Available from: 2017-08-02 Created: 2017-08-02 Last updated: 2017-11-10Bibliographically approved
Maffei, A. & Ferreira, P. (2016). A FRAMEWORK FOR PHENOMENOGRAPIC ANALYSIS AND CLASSIFICATION OF TROUBLESOME KNOWLEDGE IN THE ENGINEERING DOMAIN. In: Chova, LG Martinez, AL Torres, IC (Ed.), EDULEARN16: 8TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES. Paper presented at 8th International Conference on Education and New Learning Technologies (EDULEARN), JUL 04-06, 2016, Barcelona, SPAIN (pp. 5882-5888). IATED-INT ASSOC TECHNOLOGY EDUCATION A& DEVELOPMENT
Open this publication in new window or tab >>A FRAMEWORK FOR PHENOMENOGRAPIC ANALYSIS AND CLASSIFICATION OF TROUBLESOME KNOWLEDGE IN THE ENGINEERING DOMAIN
2016 (English)In: 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, Published 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.

Place, publisher, year, edition, pages
IATED-INT ASSOC TECHNOLOGY EDUCATION A& DEVELOPMENT, 2016
Series
EDULEARN Proceedings, ISSN 2340-1117
Keywords
Phenomenology, Methodology, Engineering education
National Category
Educational Sciences
Identifiers
urn:nbn:se:kth:diva-210978 (URN)000402955905148 ()978-84-608-8860-4 (ISBN)
Conference
8th International Conference on Education and New Learning Technologies (EDULEARN), JUL 04-06, 2016, Barcelona, SPAIN
Note

QC 20170711

Available from: 2017-07-11 Created: 2017-07-11 Last updated: 2017-07-11Bibliographically approved
Maffei, A., Daghini, L., Archenti, A. & Lohse, N. (2016). CONALI Ontology. A Framework for Design and Evaluation of Constructively Aligned Courses in Higher Education: Putting in Focus the Educational Goal Verbs. In: Procedia CIRP: . Paper presented at 26th CIRP Design Conference, 2016, 15 June 2016 through 17 June 2016 (pp. 765-772). Elsevier
Open this publication in new window or tab >>CONALI Ontology. A Framework for Design and Evaluation of Constructively Aligned Courses in Higher Education: Putting in Focus the Educational Goal Verbs
2016 (English)In: Procedia CIRP, Elsevier, 2016, p. 765-772Conference paper, Published 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.

Place, publisher, year, edition, pages
Elsevier, 2016
Keywords
Constructive Alignment, Knowledge Base, Ontology, Birds, Computer simulation languages, Design, Education, Education computing, Knowledge based systems, Modeling languages, Semantics, Constructive alignments, Constructivism theories, Design and evaluations, Intended learning outcomes, Royal Institute of Technology, Semantic relationships, Teaching and learning, Teaching
National Category
Learning
Identifiers
urn:nbn:se:kth:diva-195460 (URN)10.1016/j.procir.2016.06.004 (DOI)000387666600128 ()2-s2.0-84986598327 (Scopus ID)
Conference
26th CIRP Design Conference, 2016, 15 June 2016 through 17 June 2016
Note

QC 20161128

Available from: 2016-11-28 Created: 2016-11-03 Last updated: 2018-12-07Bibliographically approved
Mahmood Reza, K., Wikander, J., Onori, M., Maffei, A. & Chen, D.-J. (2016). Module-based Quality System Functionality Evaluation in Production Logistics. Journal of Industrial Engineering and Management, 9(2), 310-329
Open this publication in new window or tab >>Module-based Quality System Functionality Evaluation in Production Logistics
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2016 (English)In: Journal of Industrial Engineering and Management, ISSN 2013-8423, E-ISSN 2013-0953, Vol. 9, no 2, p. 310-329Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
OmniaScience, 2016
Keywords
business process, data modelling, production logistics, QIS, UML, BPMN, data query
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Economics and Management
Identifiers
urn:nbn:se:kth:diva-188862 (URN)10.3926/jiem.1509 (DOI)000378499500002 ()2-s2.0-85005977747 (Scopus ID)
Note

QC 20160726

Available from: 2016-06-20 Created: 2016-06-20 Last updated: 2019-08-28Bibliographically approved
Chen, D. J., Maffei, A., De Sousa Dias Ferreira, J., Akillioglu, H., Khabazzi, M. R. & Zhang, X. (2015). A Virtual Environment for the Management and Development of Cyber-Physical Manufacturing Systems. In: IFAC DCDS15: . Paper presented at 5th IFAC Workshop on Dependable Control of Discrete Systems. Cancun, Mexico. May 27th- 29th, 2015 (pp. 29-36). IFAC Papers Online, 48
Open this publication in new window or tab >>A Virtual Environment for the Management and Development of Cyber-Physical Manufacturing Systems
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2015 (English)In: IFAC DCDS15, IFAC Papers Online, 2015, Vol. 48, p. 29-36Conference paper, Published 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.

Place, publisher, year, edition, pages
IFAC Papers Online, 2015
Keywords
Evolvable Production Systems (EPS), Cyber-Physical Systems (CPS), Model-Based Development (MBD), Domain-Specific Modeling (DSM)
National Category
Embedded Systems
Identifiers
urn:nbn:se:kth:diva-169736 (URN)10.1016/j.ifacol.2015.06.469 (DOI)2-s2.0-84954161288 (Scopus ID)
Conference
5th IFAC Workshop on Dependable Control of Discrete Systems. Cancun, Mexico. May 27th- 29th, 2015
Projects
EIT ICT-Labs Project 14386 (CPS for Smart Factories)
Note

QC 20150624

Available from: 2015-06-23 Created: 2015-06-23 Last updated: 2016-05-26Bibliographically approved
Maffei, A., Akillioglu, H. & Lohse, N. (2014). Analysis of the Student Perception of the Link between Product and Production System: Towards Effective Strategies to Teach the Holistic Nature of Product Design. International journal of engineering education, 30(6), 1357-1366
Open this publication in new window or tab >>Analysis of the Student Perception of the Link between Product and Production System: Towards Effective Strategies to Teach the Holistic Nature of Product Design
2014 (English)In: International journal of engineering education, ISSN 0949-149X, Vol. 30, no 6, p. 1357-1366Article in journal (Refereed) Published
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.

Keywords
product design, production system design, phenomenography, Design for Assembly
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:kth:diva-160013 (URN)000347642500003 ()2-s2.0-84911425462 (Scopus ID)
Note

QC 20150216

Available from: 2015-02-16 Created: 2015-02-12 Last updated: 2017-12-04Bibliographically approved
Maffei, A., Neves, P., Dias-Ferreira, J. & Barata, J. (2014). Characterisation of the student perception of the concept of flexibility in the manufacturing domain: Highlighting the patterns of effective learning. Global Journal of Engineering Education, 16(2), 80-87
Open this publication in new window or tab >>Characterisation of the student perception of the concept of flexibility in the manufacturing domain: Highlighting the patterns of effective learning
2014 (English)In: Global Journal of Engineering Education, ISSN 1328-3154, Vol. 16, no 2, p. 80-87Article in journal (Refereed) Published
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.

Keywords
Flexibility, Industrial automation, Phenomenography
National Category
Production Engineering, Human Work Science and Ergonomics Educational Sciences
Identifiers
urn:nbn:se:kth:diva-175120 (URN)2-s2.0-84940268580 (Scopus ID)
Note

QC 20151214

Available from: 2015-12-14 Created: 2015-10-09 Last updated: 2015-12-14Bibliographically approved
Dias-Ferreira, J., Ribeiro, L., Akillioglu, H., Neves, P., Maffei, A. & Onori, M. (2014). Characterization of an Agile Bio-inspired Shop-Floor. In: 2014 12TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN): . Paper presented at 12th IEEE International Conference on Industrial Informatics (INDIN), JUL 27-30, 2014, Porto Alegre, BRAZIL (pp. 404-410).
Open this publication in new window or tab >>Characterization of an Agile Bio-inspired Shop-Floor
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2014 (English)In: 2014 12TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2014, p. 404-410Conference paper, Published 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.

Series
IEEE International Conference on Industrial Informatics INDIN, ISSN 1935-4576
National Category
Computer Sciences
Identifiers
urn:nbn:se:kth:diva-161591 (URN)000349558700061 ()2-s2.0-84914144772 (Scopus ID)978-1-4799-4905-2 (ISBN)
Conference
12th IEEE International Conference on Industrial Informatics (INDIN), JUL 27-30, 2014, Porto Alegre, BRAZIL
Note

QC 20150325

Available from: 2015-03-25 Created: 2015-03-13 Last updated: 2018-01-11Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0723-1712

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