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Standardized architectures for information integration and life cycle management in the domain of production engineering
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. (Computer systems for design and manufacturing)
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

While design and management of production systems based on digital models brings benefits, the communication of models comes with challenges since models typically reside in a distributed heterogeneous IT environment using different syntax and semantics. Coping with heterogeneity requires an appropriate integration strategy and methodology. One main paradigm to integrate information and consequently IT-systems is to deploy standardized information models. In particular, ISO 10303 STEP has been endorsed as a suitable standard to exchange a wide variety of product manufacturing data. The representation and integration of product, process and production resources information using different STEP application protocols are well covered and extensively investigated by many researchers. However, the information representation and integration of logical relations of material flow such as product routing, and its integration with factory layout information has been less subject of research focuses. Hence, this thesis first contributes to identifying, describing and clarifying information requirements for an integrated representation of material flow logic and plant layout using the STEP standard.

One the other hand, service-oriented IT-tool integration solutions are increasingly deployed for the data and tool interoperability, especially with the evolution of Open Services for Lifecycle Collaboration (OSLC) whose focus is on the linking of data from heterogeneous software tools. OSLC focuses on the integration of the most common concepts across domains. Assuming a loosely coupled distributed architecture of IT-tools and services, OSLC adopts the Linked Data (LD) approach to ensure data consistency across the data sources. Thus the thesis studies the use of OSLC for tool integration and has found that it cannot be practiced independently for all types of integration in the production engineering domain. Therefore, in practice, there should be a combination of the standardized information and linked data approaches to facilitate the integration process. Thus, this thesis investigates the integration applicability of linked data and OSLC, the principles behind them, and criteria to identify where to use which approach. In addition, the thesis explores the synergy between the standardized information and linked data approaches and consequently suggests an approach based on a combination of these.

Further, different computer applications in industrial cases were implemented to verify the suggested approaches. Finally the thesis is concluded with a discussion and suggestions for future work.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2017. , p. 186
Series
TRITA-IIP, ISSN 1650-1888
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production Engineering
Identifiers
URN: urn:nbn:se:kth:diva-206381ISBN: 978-91-7729-371-2 (print)OAI: oai:DiVA.org:kth-206381DiVA, id: diva2:1092227
Public defence
2017-05-19, sal M311, Brinellvägen 68, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20170503

Available from: 2017-05-03 Created: 2017-05-02 Last updated: 2017-05-03Bibliographically approved
List of papers
1. Material flow data representation and integration based on STEP
Open this publication in new window or tab >>Material flow data representation and integration based on STEP
2013 (English)In: Internetworking Indonesia Journal, ISSN 1942-9703, E-ISSN 1942-9703, Vol. 5, no 1, p. 11-19Article in journal (Refereed) Published
Abstract [en]

A fundamental requirement for executing Discrete Event Simulation (DES) is incorporating a data structure that represents process, product and resource information, and their interrelations. Further, the capability of integrating this data structure with other types of information such as geometry (e.g. for sizes of products or distances of transports) is of vital interest. Manufacturing information is normally not integrated but is heterogeneous and stored in different Computer Aided Design (CAD) and Computer Aided Manufacturing (CAM) applications in the factory plant. Therefore this paper aims to describe how to represent the main required operational data of a manufacturing system for DES by using ISO 10303 Application Protocol 214 (STEP AP214) in order to fulfill the mentioned characteristics of data and information. Stochastic properties of manufacturing resources and corresponding processes such as measured cycle time and disturbances information are represented using application module 1274 (ISO 10303-1274) that defines a particular schema for probability distribution representation. A test implementation of the mentioned data including a graphical user interface has been carried out to show the feasibility of the research approach.

Keywords
Computer aided engineering, Computer applications, Computer integrated manufacturing, Information representation
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-133263 (URN)2-s2.0-84884134033 (Scopus ID)
Funder
XPRES - Initiative for excellence in production research
Note

QC 20150625

Available from: 2013-10-30 Created: 2013-10-29 Last updated: 2017-12-06Bibliographically approved
2. An approach for manufacturing process representation in product lifecycle management
Open this publication in new window or tab >>An approach for manufacturing process representation in product lifecycle management
2013 (English)In: Key Engineering Materials (Volume 572) / [ed] Daizhong Su and Shifan Zhu, 2013Conference paper, Published paper (Refereed)
Abstract [en]

Current Product Lifecycle Management systems (PLM) have concentrated on product design, not on manufacturing engineering with its development of e.g. Material flows and layouts. This paper proposes an approach to describe how to represent the main required manufacturing process data using ontologies together with generic data standards. This approach makes it possible to develop translations between different software, and also providing users with the meaning of different concepts. It contributes to an efficient management of manufacturing information, with a focus on the material flow information as used in Discrete Event Simulation – DES.

Keywords
Manufacturing flow, Information management, Ontology
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production
Identifiers
urn:nbn:se:kth:diva-136772 (URN)10.4028/www.scientific.net/KEM.572.239 (DOI)
Conference
5th International Conference on Advanced Design and Manufacture (ADM2013),
Funder
XPRES - Initiative for excellence in production research
Note

QC 20140102

Available from: 2013-12-09 Created: 2013-12-09 Last updated: 2017-05-02Bibliographically approved
3. Rapid Production Changes through the Coordination of Factory Layout Models and Activities
Open this publication in new window or tab >>Rapid Production Changes through the Coordination of Factory Layout Models and Activities
2013 (English)In: Journal of Applied Mechanical Engineering, ISSN 2168-9873Article in journal (Refereed) Published
Abstract [en]

Changing the design of a factory in practice involves the change of a number of parallel and interdependent systems such as the machining resources and robot cells, the supply systems for electricity, water, air, heat and cooling, pneumatics and hydraulics, the systems for chip and waste handling, process fluid, communication networks, sprinkler systems, as well as the building construction. Thus the coordination of information and models, as well as of the design work activities, is of utmost importance to achieve a fast and flexible development process. This paper presents the results from a research project focusing on computer aided work processes and the communication of models between various stake holders in layout design. The primary objective was to provide methods for a coordinated factory development process with a facilitated information exchange and reuse of knowledge and models. Results concerning required layout and PLM (Product Lifecycle Management) functionalities, as well as modelling and communication principles, tested in an industrial case, are presented.

 

Keywords
Factory layout, coordinated development, information models, Product Lifecycle Management (PLM)
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-136812 (URN)10.4172/2168-9873.1000126 (DOI)
Conference
Mechanical and Aerospace Engineering
Funder
XPRES - Initiative for excellence in production research
Note

QC 20140124

Available from: 2013-12-09 Created: 2013-12-09 Last updated: 2017-05-02Bibliographically approved
4. Engineering innovation factory
Open this publication in new window or tab >>Engineering innovation factory
2014 (English)In: 8th International Conference on Digital Enterprise Technology - DET 2014 Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution / [ed] Carmen Constantinescu, Elsevier, 2014, Vol. 25, p. 414-419Conference paper, Published paper (Refereed)
Abstract [en]

The complexity of product realization has increased significantly due to the requirements on ecological and social as well as economical sustainability. This has led to an increased demand on innovations concerning new materials and product- and process technologies, as well as on new business models for a better utilization of products and materials.

Most innovations occur through a learning process where various actors, individuals as well as organizations, take part. Breakthroughs do not necessarily occur within the research or development departments, they are equally likely to occur during production or utilization. The challenge thus lies in providing platforms and tools for cross-divisional, collaborative innovation and for sharing Best Practices.

This paper describes an initiative at KTH Royal Institute of Technology for supporting the integration of various company disciplines and external expertise through a collaborative framework where industry and academy can collaborate, supported by modeling, simulation and visualization during the innovation process. The approach combines theories and methods concerning innovation and digital factories and emphasizes aspects concerning learning, communication and collaboration.

Place, publisher, year, edition, pages
Elsevier, 2014
Series
Procedia CIRP, ISSN 2212-8271 ; 25
Keywords
Digital factory, Collaborative Innovation, Open communication standard
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production Engineering
Identifiers
urn:nbn:se:kth:diva-147364 (URN)10.1016/j.procir.2014.10.057 (DOI)2-s2.0-84923271945 (Scopus ID)
Conference
8th International Conference on Digital Enterprise Technology - DET 2014 “Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution
Funder
XPRES - Initiative for excellence in production research
Note

QC 20150223

Available from: 2014-06-26 Created: 2014-06-26 Last updated: 2017-05-03Bibliographically approved
5. Service Oriented Integration of Distributed Heterogeneous IT Systems in Production Engineering Using Information Standards and Linked Data
Open this publication in new window or tab >>Service Oriented Integration of Distributed Heterogeneous IT Systems in Production Engineering Using Information Standards and Linked Data
2017 (English)In: Modelling and Simulation in Engineering, ISSN 1687-5591, E-ISSN 1687-5605, article id 9814179Article in journal (Refereed) Published
Abstract [en]

While design of production systems based on digital models brings benefits, the communication of models comes with challenges since models typically reside in a heterogeneous IT environment using different syntax and semantics. Coping with heterogeneity requires a smart integration strategy. One main paradigm to integrate data and IT systems is to deploy information standards. In particular, ISO 10303 STEP has been endorsed as a suitable standard to exchange a wide variety of product manufacturing data. One the other hand, service-oriented tool integration solutions are progressively adopted for the integration of data and IT-tools, especially with the emergence of Open Services for Lifecycle Collaboration whose focus is on the linking of data from heterogeneous software tools. In practice, there should be a combination of these approaches to facilitate the integration process. Hence, the aim of this paper is to investigate the applications of the approaches and the principles behind them and try to find criteria for where to use which approach. In addition, we explore the synergy between them and consequently suggest an approach based on combination of them. In addition, a systematic approach is suggested to identify required level of integrations and their corresponding approaches exemplified in a typical IT system architecture in Production Engineering.

Place, publisher, year, edition, pages
Hindawi Publishing Corporation, 2017
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:kth:diva-205761 (URN)10.1155/2017/9814179 (DOI)000397905700001 ()2-s2.0-85017128670 (Scopus ID)
Note

QC 20170424

Available from: 2017-04-24 Created: 2017-04-24 Last updated: 2017-06-13Bibliographically approved
6. Software Evaluation Criteria for Rapid Factory Layout Planning, Design and Simulation
Open this publication in new window or tab >>Software Evaluation Criteria for Rapid Factory Layout Planning, Design and Simulation
2012 (English)In: 45th CIRP Conference on Manufacturing Systems 2012, Elsevier, 2012, Vol. 3, no 12, p. 299-304Conference paper, Published paper (Refereed)
Abstract [en]

The objective of this paper is to specify functional requirements on software for rapid factory planning and design in a digital factory context. In comparison with other studies that focus on particular aspects of layout development, this work deploys a comprehensive approach, based on industrial needs, to determine main functionalities for factory layout software. The research considers integration of different layouts where original equipment manufacturer and other stakeholders involved in factory layout design collaborate with each other to develop, or extend a factory. Therefore; engineering change management and data exchange in a system neutral format are taken into account as main pillars.

Place, publisher, year, edition, pages
Elsevier, 2012
Series
Procedia CIRP, ISSN 2212-8271 ; 3
Keywords
Factory layout design, Digital factory; Digital manufacturing, Software tools; Computer Aided Design (CAD)
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production
Identifiers
urn:nbn:se:kth:diva-109492 (URN)10.1016/j.procir.2012.07.052 (DOI)000314630700051 ()2-s2.0-84879193235 (Scopus ID)
Conference
45th CIRP Conference on Manufacturing Systems (CIRP CMS) Location: Athens, Greece Date: MAY 16-18, 2012
Funder
XPRES - Initiative for excellence in production research
Note

QC 20130116

Available from: 2013-01-05 Created: 2013-01-05 Last updated: 2017-05-02Bibliographically approved
7. Integration of Digital Factory with Smart Factory Based on Internet of Things
Open this publication in new window or tab >>Integration of Digital Factory with Smart Factory Based on Internet of Things
2016 (English)In: Procedia CIRP, Elsevier, 2016, Vol. 50, p. 512-517Conference paper, Published paper (Refereed)
Abstract [en]

Internet of things (IoT) in manufacturing can be defined as a future where every day physical objects in the shop floor, people and systems (things) are connected by the Internet to build services critical to the manufacturing. Smart factory is a way towards a factory-of-things, which is very much aligned with IoT. IoT not only deals with smart connections between physical objects but also with the interaction with different IT tools used within the digital factory. Data and information come from heterogeneous IT systems and from different domains, viewpoints, levels of granularity and life cycle phases causing potential inconsistencies in the data sharing, preventing interoperability. Hence, our aim is to investigate approaches and principles when integrating the digital factory, IT tools and IoT in manufacturing in a heterogeneous IT environment to ensure data consistency. In particular this paper suggests an approach to identify what, when and how information should be integrated. Secondly it suggests integration between IoT and PLM platforms using semantic web technologies and Open Services for Lifecycle Collaboration (OSLC) standard on tool interoperability.

Place, publisher, year, edition, pages
Elsevier, 2016
Series
Procedia CIRP, ISSN 2212-8271 ; 50
Keywords
Digital factory, Internet of Things, Smart factory
National Category
Other Engineering and Technologies
Research subject
Industrial Information and Control Systems
Identifiers
urn:nbn:se:kth:diva-192159 (URN)10.1016/j.procir.2016.05.050 (DOI)000387666600086 ()2-s2.0-84986598296 (Scopus ID)
Conference
26th CIRP Design Conference, 2016, KTH Royal Institute of Technology Stockholm, Sweden, 15 June 2016 through 17 June 2016
Note

QC 20161212

Available from: 2016-09-06 Created: 2016-09-06 Last updated: 2017-05-02Bibliographically approved

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