Abstract   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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[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.