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Mahmood Reza, K., Wikander, J., Onori, M. & Maffei, A. (2018). Object-oriented design of product assembly feature data requirements in advanced assembly planning. Assembly Automation, 38(1), 97-112
Open this publication in new window or tab >>Object-oriented design of product assembly feature data requirements in advanced assembly planning
2018 (English)In: Assembly Automation, ISSN 0144-5154, E-ISSN 1758-4078, Vol. 38, no 1, p. 97-112Article in journal (Refereed) Published
Abstract [en]

Purpose - This paper introduces a schema for the product assembly feature data in an object-oriented and module-based format using Unified Modeling Language (UML). To link production with product design, it is essential to determine at an early stage which entities of product design and development are involved and used at the automated assembly planning and operations. To this end, it is absolutely reasonable to assign meaningful attributes to the parts' design entities (assembly features) in a systematic and structured way. As such, this approach empowers processes such as motion planning and sequence planning in assembly design. Design/methodology/approach - The assembly feature data requirements are studied and definitions are analyzed and redefined. Using object-oriented techniques, the assembly feature data structure and relationships are modeled based on the identified requirements as five UML packages (Part, three-dimensional (3D) models, Mating, Joint and Handling). All geometric and non-geometric design data entities endorsed with assembly design perspective are extracted or assigned from 3D models and realized through the featured entity interface class. The featured entities are then associated (used) with the mating, handling and joints features. The AssemblyFeature interface is realized through mating, handling and joint packages related to the assembly and part classes. Each package contains all relevant classes which further classify the important attributes of the main class. Findings - This paper sets out to provide an explanatory approach using object-oriented techniques to model the schema of assembly features association and artifacts at the product design level, all of which are essential in several subsequent and parallel steps of the assembly planning process, as well as assembly feature entity assignments in design improvement cycle. Practical implications - The practical implication based on the identified advantages can be classified in three main features: module-based design, comprehensive classification, integration. These features help the automation and solution development processes based on the proposed models much easier and systematic. Originality/value - The proposed schema's comprehensiveness and reliability are verified through comparisons with other works and the advantages are discussed in detail.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2018
Keywords
Automatic assembly, Object-oriented design, Assembly feature, Evolvable production system
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-222453 (URN)10.1108/AA-07-2016-084 (DOI)000423191400011 ()2-s2.0-85040059024 (Scopus ID)
Note

QC 20180209

Available from: 2018-02-09 Created: 2018-02-09 Last updated: 2018-02-20Bibliographically approved
Umer, M., Mahesh, B., Hanson, L., Khabbazi, M. R. & Onori, M. (2018). Smart Power Tools: An Industrial Event-Driven Architecture Implementation. In: 51st CIRP Conference on Manufacturing Systems: . Paper presented at 51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018, Stockholm Waterfront Congress Centre, Stockholm, Sweden, 16 May 2018 through 18 May 2018, (pp. 1357-1361). Elsevier, 72
Open this publication in new window or tab >>Smart Power Tools: An Industrial Event-Driven Architecture Implementation
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2018 (English)In: 51st CIRP Conference on Manufacturing Systems, Elsevier, 2018, Vol. 72, p. 1357-1361Conference paper, Published paper (Refereed)
Abstract [en]

In order to remain competitive, more and more industries are embracing the concept of industry 4.0 and trying to improve their manufacturing systems. A modern manufacturing system is the one which provides the industry with flexibility to adopt to the constantly changing market demands. In order to be flexible, the manufacturing system should be able to make better use of the shop floor data. Data from the shop floor level should be available in real time to facilitate the decision making process. The process of implementation of an event driven architecture along with services in a real time production environment will be discussed in this paper. For this purpose, pedal car line at Scania Sodertalje is analyzed for the implementation of event driven architecture. The old hand held tools and controllers at the assembly stations were replaced with modern wireless power tools and the latest power focus 6000 controller. The data generated by the power tools was converted into a standard format so that it can easily be interpreted by a message broker. The messages were published on Kafka message bus where other systems were able to subscribe and consume the data. A couple of endpoints were created, one was a REST API that subscribed to the message bus and consumed the data from power tools and visualized key parameters for the operator at the shop floor in real time. Second service created was to calculate certain KPIs and visualize them in graphs form for the maintenance and production engineers. This implementation demonstrated that an event driven architecture such as LISA can be implemented on a real shop floor making real time data available to different systems.

Place, publisher, year, edition, pages
Elsevier, 2018
Series
Procedia CIRP, ISSN 2212-8271 ; 72
Keywords
Automation, Digital Manufacturing System, Digitalization, Event-Driven Architecture, Industry 4.0, Integration, Smart Factory
National Category
Reliability and Maintenance
Identifiers
urn:nbn:se:kth:diva-238411 (URN)10.1016/j.procir.2018.03.058 (DOI)2-s2.0-85049589072 (Scopus ID)
Conference
51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018, Stockholm Waterfront Congress Centre, Stockholm, Sweden, 16 May 2018 through 18 May 2018,
Note

QC 20181112

Available from: 2018-11-12 Created: 2018-11-12 Last updated: 2019-04-08Bibliographically approved
Rahatulain, A. & Onori, M. (2018). Viewpoints and views for the architecture description of cyber-physical manufacturing systems. In: : . Paper presented at The 51st CIRP Conference on Manufacturing Systems (pp. 450-455). Elsevier, 72
Open this publication in new window or tab >>Viewpoints and views for the architecture description of cyber-physical manufacturing systems
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

A well-defined architecture covering all the views, viewpoints and related stakeholders’ concerns throughout the life cycle is vital for a good system design. This becomes even more crucial when designing Cyber Physical Manufacturing Systems (CPMS), one of the key elements in factories of the future. This paper identifies views and viewpoints necessary for defining architecture for CPMS. A mapping between system stakeholders, concerns and viewpoints is also presented. The results shall serve as a basis for an architecture-centric development methodology for CPMS as well as conventional manufacturing systems.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
viewpoints, Cyber Physical Production, Cyber Physical Manufacturing, Architecture, Industry 4.0
National Category
Engineering and Technology
Research subject
Production Engineering
Identifiers
urn:nbn:se:kth:diva-231541 (URN)10.1016/j.procir.2018.03.116 (DOI)2-s2.0-85049577020 (Scopus ID)
Conference
The 51st CIRP Conference on Manufacturing Systems
Note

QC 20180702

Available from: 2018-06-29 Created: 2018-06-29 Last updated: 2018-10-16Bibliographically 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
de Giorgio, A., Romero, M., Onori, M. & Wang, L. (2017). Human-machine Collaboration in Virtual Reality for Adaptive Production Engineering. Procedia Manufacturing, 11, 1279-1287
Open this publication in new window or tab >>Human-machine Collaboration in Virtual Reality for Adaptive Production Engineering
2017 (English)In: Procedia Manufacturing, ISSN 2351-9789, Vol. 11, p. 1279-1287Article in journal (Refereed) Published
Abstract [en]

This paper outlines the main steps towards an open and adaptive simulation method for human-robot collaboration (HRC) in production engineering supported by virtual reality (VR). The work is based on the latest software developments in the gaming industry, in addition to the already commercially available hardware that is robust and reliable. This allows to overcome VR limitations of the industrial software provided by manufacturing machine producers and it is based on an open-source community programming approach and also leads to significant advantages such as interfacing with the latest developed hardware for realistic user experience in immersive VR, as well as the possibility to share adaptive algorithms. A practical implementation in Unity is provided as a functional prototype for feasibility tests. However, at the time of this paper, no controlled human-subject studies on the implementation have been noted, in fact, this is solely provided to show preliminary proof of concept. Future work will formally address the questions that are raised in this first run.

Place, publisher, year, edition, pages
Elsevier B.V., 2017
Keywords
Adaptive Production, Augmented Reality, Human-Robot Collaboration, Industry 4.0, Robotics, Unity Game Engine, Virtual Reality
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-216563 (URN)10.1016/j.promfg.2017.07.255 (DOI)2-s2.0-85029856140 (Scopus ID)
Note

QC 20171108

Available from: 2017-11-08 Created: 2017-11-08 Last updated: 2017-11-08Bibliographically approved
Hasan, B., Wikander, J. & Onori, M. (2016). Assembly design semantic recognition using solid works-API. International Journal of Mechanical Engineering and Robotics Research, 5(4), 280-287
Open this publication in new window or tab >>Assembly design semantic recognition using solid works-API
2016 (English)In: International Journal of Mechanical Engineering and Robotics Research, ISSN 2278-0149, Vol. 5, no 4, p. 280-287Article in journal (Refereed) Published
Abstract [en]

This paper describes a novel approach to recognize and model assembly semantic knowledge enclosed in product assembly features. The proposed approach is based on two stages: assembly semantic recognition and assembly semantic modelling. In the first stage, the internal boundary representation (B-rep) recognition method is utilized to extract assembly semantic knowledge from assembly CAD models using SolidWorks' API functions. In the second stage, a multi-level semantic assembly model is generated. The proposed assembly semantic model is characterized by separating geometrical semantic data represented by form features (basic geometrical and topological entities such as holes, slots, notches etc.) from assembly features (features significant for assembly processes such as mating, alignment, handling, joining etc.). Another characteristic for of the proposed approach is the ability to generate application-specific features based on the extracted geometrical, dimensional and positional semantic data from the assembly design. The generated application specific features will be used to integrate assembly design knowledge to the required assembly processes and resources in the assembly process planning (APP) in product life-cycle. A case-study example is included for illustration of the proposed approach. The work is part of the research within the Evolvable Production Systems paradigm and aims at linking product features to production equipment modules.

Place, publisher, year, edition, pages
Elsevier, 2016
Keywords
Assembly, Feature, Form, Mating, Recognition, SolidWorks
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-202190 (URN)10.18178/ijmerr.5.4.280-287 (DOI)2-s2.0-85006511525 (Scopus ID)
Note

QC 20170226

Available from: 2017-02-27 Created: 2017-02-27 Last updated: 2018-01-15Bibliographically approved
Dias-Ferreira, J., Ribeiro, L., Akillioglu, H., Neves, P. & Onori, M. (2016). BIOSOARM: a bio-inspired self-organising architecture for manufacturing cyber-physical shopfloors. Journal of Intelligent Manufacturing, 1-24
Open this publication in new window or tab >>BIOSOARM: a bio-inspired self-organising architecture for manufacturing cyber-physical shopfloors
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2016 (English)In: Journal of Intelligent Manufacturing, ISSN 0956-5515, E-ISSN 1572-8145, p. 1-24Article in journal (Refereed) Published
Abstract [en]

Biological collective systems have been an important source of inspiration for the design of production systems, due to their intrinsic characteristics. In this sense, several high level engineering design principles have been distilled and proposed on a wide number of reference system architectures for production systems. However, the application of bio-inspired concepts is often lost due to design and implementation choices or are simply used as heuristic approaches that solve specific hard optimization problems. This paper proposes a bio-inspired reference architecture for production systems, focused on highly dynamic environments, denominated BIO-inspired Self-Organising Architecture for Manufacturing (BIOSOARM). BIOSOARM aims to strictly adhere to bio-inspired principles. For this purpose, both shopfloor components and product parts are individualized and extended into the virtual environment as fully decoupled autonomous entities, where they interact and cooperate towards the emergence of a self-organising behaviour that leads to the emergence of the necessary production flows. BIOSOARM therefore introduces a fundamentally novel approach to production that decouples the system’s operation from eventual changes, uncertainty or even critical failures, while simultaneously ensures the performance levels and simplifies the deployment and reconfiguration procedures. BIOSOARM was tested into both flow-line and “job shop”-like scenarios to prove its applicability, robustness and performance, both under normal and highly dynamic conditions.

Place, publisher, year, edition, pages
Springer, 2016
Keywords
Bio-inspired production systems, Cyber-physical production systems, Self-organisation, Architecture, Dynamics, Heuristic methods, Manufacture, Optimization, Virtual reality, Design and implementations, Design of production systems, Dynamic environments, Intrinsic characteristics, Optimization problems, Production system, Reference architecture, Self organisation, Memory architecture
National Category
Materials Engineering
Identifiers
urn:nbn:se:kth:diva-194859 (URN)10.1007/s10845-016-1258-2 (DOI)2-s2.0-84986268581 (Scopus ID)
Note

QC 20161209

QC 20181012

Available from: 2016-12-09 Created: 2016-11-01 Last updated: 2018-10-12Bibliographically approved
Neves, P., Ribeiro, L., Dias-Ferreira, J., Onori, M. & Oliveira, J. B. (2016). Layout validation and re-configuration in Plug&Produce systems. Assembly Automation, 36(4), 412-428
Open this publication in new window or tab >>Layout validation and re-configuration in Plug&Produce systems
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2016 (English)In: Assembly Automation, ISSN 0144-5154, E-ISSN 1758-4078, Vol. 36, no 4, p. 412-428Article in journal (Refereed) Published
Abstract [en]

Purpose - This paper aims to provide a method and decision support tool to enhance swift reconfiguration of Plug&Produce (P&P) systems in the presence of continuously changing production orders. Design/methodology/approach - The paper reviews different production scenarios and system design and configuration methods and more particularly specifies the need of decision support tools for P&P systems that integrate configuration and planning activities. This problem is then addressed by proposing a method that helps reduce the solution space of the reconfiguration problem and allows the timely selection of the most promising reconfiguration alternative. Findings - The proposed method was found to be helpful in reducing the reconfiguration alternatives that need to be considered and in selecting the most promising one for different orders. The advantages and limitations of this method are identified, and an illustrative test case of the approach is presented, corroborating the method applicability in the absence of large queues in the system. Originality/value - This paper addresses a less explored domain within the P&P systems research field, which is the system reconfiguration. It proposed a method to support system validation and reconfiguration jointly with an illustrative test case. This represents an original contribution to the P&P research field, and it can have impact in improving agility and decreasing the complexity of reconfiguration activities to cope with constantly changing production orders.

Place, publisher, year, edition, pages
EMERALD GROUP PUBLISHING LTD, 2016
Keywords
Plug&Produce systems, System reconfiguration
National Category
Robotics
Identifiers
urn:nbn:se:kth:diva-196470 (URN)10.1108/AA-12-2015-119 (DOI)000385897500007 ()2-s2.0-84988876880 (Scopus ID)
Note

QC 20161124

Available from: 2016-11-24 Created: 2016-11-14 Last updated: 2017-06-28Bibliographically approved
Mahmood Reza, K. (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 Engineering 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: 2017-11-28Bibliographically approved
Rahatulain, A., Qureshi, T. N. & Onori, M. (2016). Towards A Model-Based Development Methodology For Evolvable Production Systems: A Domain-Specific Modeling Approach. In: Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015.: Springer International Publishing. Paper presented at 2nd International Afro-European Conference for Industrial Advancement, September 9-11, 2015, Villejuif, France (pp. 83-92). Springer, 427
Open this publication in new window or tab >>Towards A Model-Based Development Methodology For Evolvable Production Systems: A Domain-Specific Modeling Approach
2016 (English)In: Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015.: Springer International Publishing, Springer, 2016, Vol. 427, p. 83-92Conference paper, Published paper (Refereed)
Abstract [en]

Evolvable production system (EPS) is one of the most promising emerging paradigms among the next generation of production systems dealing with challenges such as market unpredictability, high product variance and increasing automation costs. One of the major challenges faced by EPS for its wider industrial realization is the harmonization of its existing research activities such as the ontology and reference architecture with the agent-based control, dynamic skill-configuration methodology and self-organization algorithms while also considering the aspects of operation management and business models. In addition, the integration with existing industrial standards, targeting aspects like functional safety, system integrity, etc. is also required. This paper addresses the challenge by providing an extendible DSM (Domain Specific Modeling) based support for modeling an EPS. The work is a basis for a model-based and architecture-centric methodology applicable throughout the development life-cycle of an EPS.

Place, publisher, year, edition, pages
Springer, 2016
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production Engineering
Identifiers
urn:nbn:se:kth:diva-179081 (URN)10.1007/978-3-319-29504-6_9 (DOI)000371912400009 ()2-s2.0-84958267509 (Scopus ID)978-3-319-29503-9 (ISBN)
Conference
2nd International Afro-European Conference for Industrial Advancement, September 9-11, 2015, Villejuif, France
Note

QC 20160122

Available from: 2015-12-10 Created: 2015-12-10 Last updated: 2016-04-29Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0006-283X

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