A methodology toward manufacturing grid-based virtual enterprise operation platform

Virtual enterprises (VEs) have become one of main types of organisations in the manufacturing sector through which the consortium companies organise their manufacturing activities. To be competitive, a VE relies on the complementary core competences among members through resource sharing and agile manufacturing capacity. Manufacturing grid (M-Grid) is a platform in which the production resources can be shared. In this article, an M-Grid-based VE operation platform (MGVEOP) is presented as it enables the sharing of production resources among geographically distributed enterprises. The performance management system of the MGVEOP is based on the balanced scorecard and has the capacity of self-learning. The study shows that a MGVEOP can make a semi-automated process possible for a VE, and the proposed MGVEOP is efficient and agile.

[1]  Wang Qin Research on the FR-TS-Based Parallel Optimization Technique in Enterprise Process Modeling , 2003 .

[2]  WenAn Tan,et al.  An approach to enterprise process dynamic modeling supporting enterprise process evolution , 2008, Inf. Syst. Frontiers.

[3]  Valerie Botta-Genoulaz,et al.  The SCOR model for the alignment of business processes and information systems , 2009, Enterp. Inf. Syst..

[4]  Li Chen,et al.  A Research on the Framework of Grid Manufacturing , 2003, GCC.

[5]  Ling Li,et al.  The effects of information technology implementation on supply chain collaboration , 2006, Int. J. Internet Enterp. Manag..

[6]  Tan Wen-an,et al.  Research on Dynamic Optimization Technique for Enterprise Process and Integrated Support Tool , 2003 .

[7]  Qianni Deng,et al.  Multilevel manufacturing system of virtual enterprise based on manufacturing grid and strategies for member enterprise selection and task assignment , 2008 .

[8]  J. Browne,et al.  Extended and virtual enterprises – similarities and differences , 1999 .

[9]  Jun Zhang,et al.  An Ant Colony Optimization Approach to a Grid Workflow Scheduling Problem With Various QoS Requirements , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[10]  Huimin Liu,et al.  Modelling and analysis techniques for cross‐organizational workflow systems , 2009 .

[11]  G. A. Swanson Material flow, material information, and the analytics of integrative enterprise information systems , 2008, Enterp. Inf. Syst..

[12]  Yong Yin,et al.  Information service of the resource node in a manufacturing grid environment , 2008 .

[13]  Lida Xu,et al.  Parameter mapping and data transformation for engineering application integration , 2008, Inf. Syst. Frontiers.

[14]  Shouhong Wang,et al.  Electronic marketplace definition and classification: literature review and clarifications , 2007, Enterp. Inf. Syst..

[15]  K. H. Park,et al.  Virtual enterprise – organisation, evolution and control , 2001 .

[16]  Y. Li,et al.  Linking management control system with product development and process decisions to cope with environment complexity , 2005 .

[17]  Jingzhi Guo,et al.  Collaborative conceptualisation: towards a conceptual foundation of interoperable electronic product catalogue system design , 2009, Enterp. Inf. Syst..

[18]  H. Wang,et al.  A study on X party material flow: the theory and applications , 2007, Enterp. Inf. Syst..

[19]  Chengen Wang,et al.  A conceptual framework for product lifecycle modelling , 2007, Enterp. Inf. Syst..

[20]  Jianmin Zhao,et al.  A methodology for dynamic enterprise process performance evaluation , 2007, Comput. Ind..

[21]  L. Li *,et al.  Network-integrated manufacturing system , 2005 .

[22]  John N. Warfield,et al.  Systems science serves enterprise integration: a tutorial , 2007, Enterp. Inf. Syst..

[23]  Cheng Hsu,et al.  An industrial network flow information integration model for supply chain management and intelligent transportation , 2007, Enterp. Inf. Syst..

[24]  Claude Godart,et al.  A model to support collaborative work in virtual enterprises , 2003, Data Knowl. Eng..

[25]  Marco Santochi,et al.  Use of neural networks in automated selection of technological parameters of cutting tools , 1996 .

[26]  Chien-wen Shen,et al.  Business process re-engineering in the logistics industry: a study of implementation, success factors, and performance , 2010, Enterp. Inf. Syst..

[27]  Saïd Izza,et al.  Integration of industrial information systems: from syntactic to semantic integration approaches , 2009, Enterp. Inf. Syst..

[28]  L. M. CAMARINHA-MATOS,et al.  Towards an architecture for virtual enterprises , 1998, J. Intell. Manuf..

[29]  Brian J. Sauser,et al.  A framework for investigation into extended enterprise resilience , 2010, Enterp. Inf. Syst..

[30]  Lida Xu,et al.  Industry-oriented enterprise resource planning , 2009, Enterp. Inf. Syst..

[31]  Wenlei Zhang,et al.  A Conceptual Framework for Product Lifecycle Modeling , 2006, First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06).

[32]  Huaizu Li,et al.  Integrating systems concepts into manufacturing information systems , 2000 .

[33]  Fei Tao,et al.  Study on manufacturing grid resource service QoS modeling and evaluation , 2009 .

[34]  Fei Tao,et al.  Manufacturing grid resource and resource service digital description , 2009 .

[35]  G. A. Swanson,et al.  Systems science and enterprise integration, technological economics and the theory of material flow , 2009 .

[36]  Andrew W. H. Ip,et al.  Measurement of resilience and its application to enterprise information systems , 2010, Enterp. Inf. Syst..

[37]  Nicolas Guelfi,et al.  Modelling dependable collaborative time-constrained business processes , 2010, Enterp. Inf. Syst..

[38]  Hamideh Afsarmanesh,et al.  Elements of a base VE infrastructure , 2003, Comput. Ind..

[39]  Yushun Fan,et al.  Complex event processing in enterprise information systems based on RFID , 2007, Enterp. Inf. Syst..

[40]  Xiaoyun Zhang,et al.  Conception and implementation of a collaborative manufacturing grid , 2007 .

[41]  Jim Browne,et al.  A review of performance measurement: Towards performance management , 2005, Comput. Ind..

[42]  Li D. Xu,et al.  Complementary opposition as a systems concept , 1989 .

[43]  Umit S. Bititci,et al.  Dynamics of performance measurement systems , 2000, APMS.

[44]  Jingzhi Guo,et al.  Business-to-business electronic market place selection , 2007, Enterp. Inf. Syst..

[45]  Wang Qiang Research on a Simulation-Based Auto-Optimized Technique in Enterprise Process Model , 2002 .

[46]  A. Molina,et al.  A Virtual Enterprise in Mexico: From Concepts to Practice , 1999, J. Intell. Robotic Syst..

[47]  Joseph Barjis Automatic business process analysis and simulation based on DEMO , 2007, Enterp. Inf. Syst..

[48]  Li D. Xu,et al.  The contribution of systems science to information systems research , 2000 .

[49]  Jean-Paul Jamont,et al.  Flood decision support system on agent grid: method and implementation , 2007, Enterp. Inf. Syst..

[50]  WenAn Tan,et al.  A Business Process Intelligence System for Enterprise Process Performance Management , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[51]  A. Neely,et al.  Measuring performance in a changing business environment , 2003 .

[52]  John N. Warfield,et al.  Enterprise integration of product development data: systems science in action , 2007, Enterp. Inf. Syst..

[53]  Lida Xu,et al.  A decision support system for product design in concurrent engineering , 2007, Decis. Support Syst..

[54]  V. Corvello,et al.  Virtual forms for the organization of production: A comparative analysis , 2007 .