A knowledge-based framework for automated layout design in an industrial environment

Technical knowledge and experience are intangible assets crucial for competitiveness. Knowledge is particularly important when it comes to complex design activities such as the configuration of manufacturing systems. The preliminary design of manufacturing systems is subject to a huge variability of inputs and outputs and involves decisions which must satisfy many competing requirements. This early engineering phase relies mostly on experience of designers and engineers and is associated with long lead times and high probability of mistakes. Knowledge-Based Engineering KBE and knowledge representation techniques are considered to be a successful way to tackle this design problem at an industrial level. This paper presents a methodology to support the configuration of powertrain assembly lines, reducing design times by introducing a best practice for production systems provider companies. The methodology is developed in a real industrial environment, introducing the role of a knowledge engineer. The approach includes extraction of existing technical knowledge and implementation in a knowledge-based software framework. The framework is then integrated with other software tools allowing the first phase design of the line including the line technical description and a 2D and 3D CAD line layout. The KBE application is developed and tested on a specific powertrain assembly case study for which existing knowledge is collected, formalised, implemented in the application and integrated with existing tools. Finally, the paper presents a first validation among design engineers, comparing traditional and new approaches and estimating a cost-benefit analysis useful for future possible KBE implementations.

[1]  Mika Lohtander,et al.  Breaking down the manufacturing process of sheet metal products into features , 2016 .

[2]  Essam Shehab,et al.  An ontology framework for developing platform-independent knowledge-based engineering systems in the aerospace industry , 2014 .

[3]  Alain Bernard,et al.  The evolution, challenges, and future of knowledge representation in product design systems , 2013, Comput. Aided Des..

[4]  George Chryssolouris,et al.  Knowledge-enabled Design of Cooperating Robots Assembly Cells , 2014 .

[5]  Ikujiro Nonaka,et al.  A THEORY OF ORGANIZATIONAL KNOWLEDGE CREATION , 2014 .

[6]  Robert Harrison,et al.  INFORMATION MODELING AND KNOWLEDGE MANAGEMENT APPROACH TO RECONFIGURING MANUFACTURING ENTERPRISES , 2011 .

[7]  Gianfranco La Rocca,et al.  Knowledge based engineering: Between AI and CAD. Review of a language based technology to support engineering design , 2012, Adv. Eng. Informatics.

[8]  Q. C. Ma,et al.  Review of Knowledge Based Engineering with PLM , 2007 .

[9]  Mohammed A. Omar,et al.  Incorporating quality function deployment and analytical hierarchy process in a knowledge-based system for automotive production line design , 2013, Int. J. Comput. Integr. Manuf..

[10]  James Gao,et al.  A knowledge system to support manufacturing knowledge during preliminary design , 2007 .

[11]  Yuh-Min Chen,et al.  Development of an Ontology-based Expert Recommendation System for Product Empirical Knowledge Consultation , 2010, Concurr. Eng. Res. Appl..

[12]  Brigitte Moench,et al.  Engineering Design A Systematic Approach , 2016 .

[13]  Wei Huang,et al.  Taxonomy of optimisation techniques and applications , 2014, Int. J. Comput. Appl. Technol..

[14]  Yoram Koren,et al.  Design of reconfigurable manufacturing systems , 2010 .

[15]  Craig B. Chapman,et al.  Utilising enterprise knowledge with knowledge-based engineering , 2007, Int. J. Comput. Appl. Technol..

[16]  Marcello Colledani,et al.  Automotive manufacturing technologies – an international viewpoint , 2014 .

[17]  Caterina Rizzi,et al.  Developing DA Applications in SMEs Industrial Context , 2008, IFIP CAI.

[18]  Davy Monticolo,et al.  An agent-based system to build project memories during engineering projects , 2014, Knowl. Based Syst..

[19]  Andrew Kusiak,et al.  Computational Intelligence in Product Design Engineering: Review and Trends , 2007, IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews).

[20]  Chun-Hsien Chen,et al.  MRM: A matrix representation and mapping approach for knowledge acquisition , 2008, Knowl. Based Syst..

[21]  Andrew A. West,et al.  A new vision for the automation systems engineering for automotive powertrain assembly , 2010, Int. J. Comput. Integr. Manuf..

[22]  Kyoung-Yun Kim,et al.  Ontology-based modeling and integration of morphological characteristics of assembly joints for network-based collaborative assembly design , 2008, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[23]  George Chryssolouris,et al.  On an Integrated Knowledge based Framework for Manufacturing Systems Early Design Phase , 2013 .

[24]  George-Christopher Vosniakos,et al.  Construction of a virtual reality environment for robotic manufacturing cells , 2015, Int. J. Comput. Appl. Technol..

[25]  A.A. West,et al.  Lifecycle Engineering of Future Automation Systems in the Automotive Powertrain Sector , 2006, 2006 4th IEEE International Conference on Industrial Informatics.

[26]  Essam Shehab,et al.  A framework for developing engineering design ontologies within the aerospace industry , 2015 .

[27]  Nicholas Ross Milton,et al.  Knowledge Acquisition in Practice: A Step-by-step Guide , 2007 .

[28]  Angelo Corallo,et al.  Enhancing product development through knowledge‐based engineering (KBE) , 2009 .

[29]  Erik Brynjolfsson,et al.  Measuring the Impact of Electronic Data Management on Information Worker Productivity , 2008 .

[30]  F. Z. Laallam,et al.  A survey on the complementarity between database and ontologies: principles and research areas , 2014, Int. J. Comput. Appl. Technol..

[31]  Pablo Bermell-Garcia,et al.  A critical review of Knowledge-Based Engineering: An identification of research challenges , 2012, Adv. Eng. Informatics.

[32]  David Guerra,et al.  Knowledge Maintenance in Knowledge-Based Product Development Systems , 2002, BASYS.

[33]  C. L. Emberey,et al.  Application of Knowledge Engineering Methodologies to Support Engineering Design Application Development in Aerospace , 2007 .

[34]  Peyman Akhavan,et al.  Exploration of Knowledge Acquisition Techniques in Tunnel Industry: The Case Study of Iran Tunnel Association , 2011 .

[35]  Darek Ceglarek,et al.  Multi-objective Early-stage Design of Automotive Hybrid Assembly Lines , 2015 .

[36]  Ferruccio Mandorli,et al.  Evolution in Mechanical Design Automation and Engineering Knowledge Management , 2011 .

[37]  Ryo Sato,et al.  A UML model of agile production planning and control system , 2004, Comput. Ind..

[38]  George Chryssolouris,et al.  On knowledge reuse for manufacturing systems design and planning: A semantic technology approach , 2015 .

[39]  Dimitris Mourtzis,et al.  Knowledge Capturing and Reuse to Support Manufacturing of Customised Products: A Case Study from the Mould Making Industry☆ , 2014 .

[40]  Dennis E. Blumenfeld,et al.  Designing production systems for quality: Research opportunities from an automotive industry perspective , 2003 .

[41]  Suryanthono Surjo Amidharmo.  Critical success factors for the implementation of a knowledge management system in a knowledge-based engineering firm , 2014 .

[42]  Pablo Bermell-Garcia,et al.  Knowledge-Based Engineering , 2015 .

[43]  Ben Vermeulen.  Knowledge based method for solving complexity in design problems , 2007 .

[44]  Shailendra Kumar,et al.  A knowledge-based system for strip-layout design for progressive deep drawing dies , 2013, Int. J. Comput. Appl. Technol..

[45]  Giorgio Colombo,et al.  Feasibility of an assembly line layout automatic configuration based on a KBE approach , 2014, Proceedings of the 2014 International Conference on Innovative Design and Manufacturing (ICIDM).

[46]  S J Culley,et al.  Information access, storage and use by engineering designers-part 1. , 2004 .