Collaborative engineering: A framework for engineering-to-order companies

This paper aims at conceptualizing and developing a framework for the management of engineering changes (ECs) which are usually modification in the forms, fits, materials, dimensions etc. of the products and constituent components in the engineer-to-order companies. Engineering changes induce a series of downstream changes due to the coupling between multiple departments and responsibilities. Previous investigation conducted by the authors and other researchers have shown that paper based and standalone computerized engineering change management (ECM) systems offer limited support to anticipate, recognize, evaluate, resolve, control, document, and learn from past engineering changes which significantly affect the teamwork and close communication. This paper proposes to establish an IT based collaborative decision support framework that supports ECM procedures and activities which is aimed at providing accurate and timely information sharing, simultaneous data access while assisting managers for analyzing and selecting the controls of engineering change orders. This paper consist of two main components, a description for engineering change management and further presents a IT based collaborative decision support framework for effective management of engineering changes in engineer-to-order companies.

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

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

[3]  C. Terwiesch,et al.  Managing the Process of Engineering Change Orders: The Case of the Climate Control System in Automobile Development , 1999 .

[4]  Hokey Min,et al.  Implementation of a responsive supply chain strategy in global complexity: The case of manufacturing firms , 2014 .

[5]  Mark Stevenson,et al.  Aggregate load-oriented workload control: A review and a re-classification of a key approach , 2006 .

[6]  Christopher Earl,et al.  A Typology of UK Engineer-to-Order Companies , 2001 .

[7]  Vildan Kocar,et al.  ADVICE: A virtual environment for Engineering Change Management , 2010, Comput. Ind..

[8]  Weiming Shen,et al.  Agent-based collaborative product design engineering: An industrial case study , 2006, Comput. Ind..

[9]  M. Naim,et al.  Engineer-to-order supply chain management: A literature review and research agenda , 2009 .

[10]  Erlend Alfnes,et al.  A Collaborative Enterprise Framework to Support Engineering Changes in Manufacturing Planning and Control , 2013, MIM.

[11]  Faisal Manzoor Arain,et al.  IT-based approach for effective management of project changes: A change management system (CMS) , 2008, Adv. Eng. Informatics.

[12]  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..

[13]  George Q. Huang,et al.  Development of a web-based system for engineering change management , 2001 .

[14]  Mark Stevenson,et al.  A review of production planning and control: the applicability of key concepts to the make-to-order industry , 2005 .

[15]  Yuh-Min Chen,et al.  Enabling collaborative product design through distributed engineering knowledge management , 2008, Comput. Ind..

[16]  Salih Z. Imamoglu,et al.  The effect of supply chain integration on information sharing:Enhancing the supply chain performance , 2011 .

[17]  Jwm Will Bertrand,et al.  Production control in engineer-to-order firms , 1993 .

[18]  David Little,et al.  Integrated planning and scheduling in the engineer-to-order sector , 2000, Int. J. Comput. Integr. Manuf..

[19]  P. John Clarkson,et al.  Supporting change processes in design: Complexity, prediction and reliability , 2006, Reliab. Eng. Syst. Saf..

[20]  Neil Alderman,et al.  Engineering design and product development and its relationship to manufacturing: A programme of case study research in British companies , 1993 .

[21]  Wout van Wezel,et al.  Coordination and Task Interdependence during Schedule Adaptation , 2014 .