Engineering change management maturity assessment model with lean criteria for automotive supply chain

ABSTRACT Supplier relationships in the automotive industry have changed fundamentally in recent decades owing to trends such as less vertical integration, global sourcing, simultaneous engineering, and the Internet. Suppliers have become much more important in terms of both production and development. The ability to manage engineering changes (EC) efficiently and reliably reflects the capability of the whole supply chain. EC is a modification of a product's component after the product has entered serial production. This paper reviews engineering change management (ECM) and the application of lean methods into the product development process. The conclusions from the literature review are summarised in a model for assessing the maturity level of lean ECM. The model is tested within eight automotive component and system suppliers of different sizes, from 196 up to 77000 employees. The result of the survey is a comprehensive overview of ECM status with automotive suppliers. An important conclusion is that ECM should begin already during product development process. Knowledge management was recognised as a key enabler for reducing the number of ECs.

[1]  David Robertson,et al.  Product development performance: Strategy, organization, and management in the world auto industry , 1992 .

[2]  P. John Clarkson,et al.  A Holistic Categorization Framework for Literature on Engineering Change Management , 2013, Syst. Eng..

[3]  Young B. Moon,et al.  System dynamics modeling of engineering change management in a collaborative environment , 2011 .

[4]  Yuh-Min Chen,et al.  Knowledge kanban system for virtual research and development , 2013 .

[5]  Armin P. Schulz,et al.  Design for changeability (DfC): Principles to enable changes in systems throughout their entire lifecycle , 2005, Syst. Eng..

[6]  Herbert Negele,et al.  Coping with changes : Causes, findings, and strategies , 2000 .

[7]  Joshua D. Summers,et al.  Reasons for change propagation: a case study in an automotive OEM , 2012 .

[8]  T. Bortolotti,et al.  Successful lean implementation: Organizational culture and soft lean practices , 2015 .

[9]  M. Stevenson The role of services in flexible supply chains: an exploratory study , 2013 .

[10]  Kuldip Singh Sangwan,et al.  Development of an integrated performance measurement framework for lean organizations , 2018 .

[11]  M. Malhotra,et al.  Defining the concept of supply chain quality management and its relevance to academic and industrial practice , 2005 .

[12]  Claudia Eckert,et al.  Engineering change: an overview and perspective on the literature , 2011 .

[13]  Christoph H. Loch,et al.  Accelerating the process of engineering change orders: capacity and congestion effects , 1999 .

[14]  Marco Leite,et al.  Agile manufacturing practices for new product development: industrial case studies , 2016 .

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

[16]  George Q. Huang,et al.  Internet Applications in Product Design and Manufacturing , 2003 .

[17]  Josip Stjepandic,et al.  Knowledge-based design for assembly in agile manufacturing by using Data Mining methods , 2017, Adv. Eng. Informatics.

[18]  Colin Herron,et al.  The transfer of selected lean manufacturing techniques from Japanese automotive manufacturing into general manufacturing (UK) through change agents , 2008 .

[19]  P. John Clarkson,et al.  A technique to assess the changeability of complex engineering systems , 2013 .

[20]  Myrna Flores,et al.  Industrial challenges in managing product development knowledge , 2014, Knowl. Based Syst..

[21]  Durward K. Sobek,et al.  The Second Toyota Paradox: How Delaying Decisions Can Make Better Cars Faster , 1995 .

[22]  Jeffrey K. Liker,et al.  Lean Product Development as a System: A Case Study of Body and Stamping Development at Ford , 2011 .

[23]  Cai-feng Li Agile Supply Chain: competing in volatile markets , 2009 .

[24]  Dag Henrik Bergsjö,et al.  Knowledge Based Development in Automotive Industry Guided by Lean Enablers for System Engineering , 2015 .

[25]  Joze Duhovnik,et al.  PLM Used as a Backbone for Concurrent Engineering in Supply Chain , 2012, ISPE CE.

[26]  Glenn Johansson,et al.  Lean and green product development: two sides of the same coin? , 2014 .

[27]  James P. Womack,et al.  Lean Thinking: Banish Waste and Create Wealth in Your Corporation , 1996 .

[28]  Christof Ebert Improving engineering efficiency with PLM/ALM , 2013, Software & Systems Modeling.

[29]  Sergej Bondar,et al.  Globalized OEM and Tier-1 Processes at SKF , 2012, ISPE CE.

[30]  Christoph H. Loch,et al.  Measuring the Effectiveness of Overlapping Development Activities , 1999 .

[31]  Gen-Yih Liao,et al.  An attribute-based and object-oriented approach with system implementation for change impact analysis in variant product design , 2015, Comput. Aided Des..

[32]  Christian N. Madu,et al.  Developing global supply chain quality management systems , 2011 .

[33]  Boris Otto,et al.  Design Principles for Industrie 4.0 Scenarios , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

[34]  Bimal Nepal,et al.  Improving the NPD Process by Applying Lean Principles: A Case Study , 2011 .

[35]  Srikanta Routroy,et al.  Agile manufacturing: a systematic review of literature and implications for future research , 2017 .

[36]  Rupak Rauniar,et al.  Organizational Integration for Product Development: The Effects on Glitches, On-Time Execution of Engineering Change Orders, and Market Success , 2010, Decis. Sci..

[37]  Jože Tavčar,et al.  Concurrent Engineering in Machinery , 2015 .

[38]  Günther Schuh,et al.  Enabling Agility in Product Development through an Adaptive Engineering Change Management , 2017 .

[39]  Mats Magnusson,et al.  Applying lean in product development - enabler or inhibitor of creativity? , 2015, Int. J. Technol. Manag..

[40]  Taneli Eisto,et al.  Lean Information Management Model for Engineering Changes , 2010 .

[41]  Regine W. Vroom,et al.  An industry approach to shared, cross-organisational engineering change handling - The road towards standards for product data processing , 2011, Comput. Aided Des..

[42]  P. John Clarkson,et al.  A method to assess the effects of engineering change propagation , 2012 .

[43]  Bahram Hamraz Engineering Change Management , 2014 .

[44]  G. Anand,et al.  Development of a Conceptual Framework for Lean New Product Development Process , 2008 .

[45]  Stefano Tonchia,et al.  An Instrument for Measuring the Degree of Lean Implementation in Manufacturing , 2014 .

[46]  Hongwei Wang,et al.  A RFBSE model for capturing engineers' useful knowledge and experience during the design process , 2017 .

[47]  Anja Schulze,et al.  Lean product development - enabling management factors for waste elimination , 2012, Int. J. Technol. Manag..

[48]  P. John Clarkson,et al.  Change and customisation in complex engineering domains , 2004 .

[49]  Jože Tavčar,et al.  Engineering change management in individual and mass production , 2005 .

[50]  Matic Golob,et al.  Development and application of lean product development performance measurement tool , 2016, Int. J. Comput. Integr. Manuf..

[51]  Josip Stjepandic,et al.  Advances in Smart Manufacturing Change Management , 2016, ISPE TE.

[52]  Fatma Pakdil,et al.  Criteria for a lean organisation: development of a lean assessment tool , 2014 .

[53]  Mari Sako,et al.  Supplier development at Honda, Nissan and Toyota: comparative case studies of organizational capability enhancement , 2004 .

[54]  Olivier L. de Weck,et al.  Multilayer network model for analysis and management of change propagation , 2011 .

[55]  Marco Leite,et al.  A road map for implementing lean and agile techniques in SMEs product development teams , 2016 .

[56]  Mikel Sorli,et al.  Towards lean product and process development , 2013, Int. J. Comput. Integr. Manuf..

[57]  I. C. Wright,et al.  A review of research into engineering change management: implications for product design , 1997 .

[58]  Adel Azar,et al.  Business excellence via advanced manufacturing technology and lean-agile manufacturing , 2018 .

[59]  Hyung Jun Ahn,et al.  Capturing and reusing knowledge in engineering change management: A case of automobile development , 2006, Inf. Syst. Frontiers.