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Developing Approaches of Supply Chain
This paper identifies the problems of pakistani en terprises concerning supply chain networks and orde rs solutions
to improving its overall performance and competitiv eness. Seldom, a non-trivial amount of research efforts has been made in
emergent nations to improve and enhance supply chai n management paradigm. Our survey comprised nine en terprises; among
them four are successfully modelled and presented. The detailed supply chain structure and study is also made. The paper
concludes by suggesting and adopting modelled appro ach to the corporations in their move towards implementing supply
chain management strategies.
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[2] Cooper M., Lambert D., and Pagh J., “Supply Chain Management: More than a New Name for Logistics,” The International Journal of Logistics Management , vol. 8, no. 1, pp. 1-13, 1997.
[3] Hurst B. and Jennifer J., “A Network Based Methodology to Model Supply Chain Systems,” PhD Thesis , The University of Iowa, 2002.
[4] Irfan D., Xiaofei X., and Shengchun D., “A SCOR Reference Model of the Supply Chain Management System in an Enterprise,” International Arab Journal of Information Technology , vol. 5, no. 3, pp. 292-299, 2008.
[5] Saad M., Jones M., and James P., “A Review of the Progress Towards the Adoption of Supply Chain Management (SCM) Relationships in Construction,” European Journal of Purchasing and Supply Management , vol. 8, no. 3, pp. 173- 183, September 2002.
[6] Wu J., Ulieru M., Cobzaru M., and Norrie D., “Supply Chain Management Systems: State of the Art and Vision,” in Proceedings of the IEEE Conference on Management of Innovation and Technlogy (ICMIT) , pp. 759-764, 2000. Danish Irfan is a PhD scholar in School of Computer Science and Engineering at Harbin Institute of Technology, Harbin, China PRC. His research interests include data clustering applications, business intelligence, and SCM. Developing Approaches of Supply Chain Management Systems of Enterprises in Pakistan 303 Xu Xiaofei is a professor and dean of School of Computer Science and Engineering at Harbin Institute of Technology, Harbin, China PRC. His research interests include computer integrated manufacturing system, database systems, supply chain management, agile virtual enterprises, management and decision information system, and knowledge engineering. He has published more than 200 academi c papers. He is the standing member of the Council of China Computer Federation, member of the Expert Group for Discipline of Computer Science and Technology in the Academic Degree Committee of China State Council. Deng Sheng Chun is an associate professor in School of Computer Science and Engineering at Harbin Institute of Technology, Harbin, China PRC. His research interests include computer integrated manufacturing system, supply chain management, business intelligence, and data mining applications.