A Collaborative Enterprise Framework to Support Engineering Changes in Manufacturing Planning and Control

Abstract The main challenges for the enterprises are complexity of the products and uncertainty of the processes. This challenge involves engineering change that frequently requires redesign or altering the products which may call for enterprise agility and flexibility. To meet such a requirement, enterprises require better tools for resilient manufacturing planning and control, and execution. Due to the limitations of the enterprise resource planning (ERP), there is a question how would the future enterprise systems will look like. To approach an answer to this question, this research paper provides an analysis of engineering changes, its characteristics, problems and their implications. Against the background, a conception of future collaborative enterprise model (CoPIDSS: Collaborative planning, information and decision support system) is proposed. In this paper, we discuss the importance of collaborative planning for enterprise resilient manufacturing planning and control. We have analysed user stories provided by industry as scenarios, to understand the collaborative processes in their workplaces and their needs for collaborative platform support. This paper aims to address the following research questions: How does engineering changes and error handling affect the degree of collaboration and decision making within and across enterprises and how CoPDISS helps to overcome this? Is the storage and management of knowledge the one of the key factor to engineering changes and error handling control in a collaboration and decision environment?

[1]  Bernhard Thalheim,et al.  Modelling and Maintenance of Very Large Database Schemata Using Meta-structures , 2009, UNISCON.

[2]  Hervé Pingaud,et al.  Collaborative information system design , 2006, AIM Conference.

[3]  J.M. Carrol,et al.  Five reasons for scenario-based design , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

[4]  Thomas H. Davenport,et al.  The Future of Enterprise System-Enabled Organizations , 2000, Inf. Syst. Frontiers.

[5]  Krasimira Stoilova,et al.  Functional analysis of enterprise resource planning systems , 2008, CompSysTech.

[6]  Patrik Jonsson,et al.  The potential benefits of advanced planning and scheduling systems in sales and operations planning , 2010 .

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

[8]  Atul Gupta,et al.  Enterprise resource planning: the emerging organizational value systems , 2000, Ind. Manag. Data Syst..

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

[10]  P. John Clarkson,et al.  Providing an Overview during the Design of Complex Products , 2004 .

[11]  Prem Samaranayake,et al.  Integration of production planning, project management and logistics systems for supply chain management , 2007 .

[12]  Marinos Themistocleous,et al.  ERP and application integration: Exploratory survey , 2001, Bus. Process. Manag. J..

[13]  Michael Rosemann,et al.  What is ERP? , 2000, Inf. Syst. Frontiers.

[14]  Ralf-Detlef Kutsche,et al.  Metamodeling Foundation for Software and Data Integration , 2009, UNISCON.

[15]  David Sundaram,et al.  Multi-enterprise collaborative enterprise resource planning and decision support systems , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

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

[17]  R J Hoevers,et al.  Troika case: Experiences with project coordination teams in a manufacturing company☆☆☆ , 1986 .

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

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

[20]  Zongmin Ma,et al.  Engineering information modeling in databases: needs and constructions , 2005, Ind. Manag. Data Syst..

[21]  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..

[22]  Weiming Shen,et al.  Applications of agent-based systems in intelligent manufacturing: An updated review , 2006, Adv. Eng. Informatics.