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Business processes inter-operation for supply network co-ordination

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  • Xu, Henry
  • Koh, Lenny
  • Parker, David

Abstract

In a global supply network, the overall improvement of operational efficiency and customer satisfaction can only be achieved through greater co-ordination and collaboration of all the network members. However, full benefits of close co-operation within a global supply network can only be achieved when the business processes of the individual companies can inter-operate. Currently available commercial solutions are inadequate in supporting full network co-ordination in terms of business process changes and technical arrangements. This paper proposes a system that aims to improve the co-ordination of production planning and control activities across the supply network. To achieve this, it is important to develop new business processes and principles for company collaboration and corresponding information systems. This process starts from the identification of business and system requirements, which underlie the general business solutions for network co-ordination, developing the guiding design principles and subsequent process design and system implementation.

Suggested Citation

  • Xu, Henry & Koh, Lenny & Parker, David, 2009. "Business processes inter-operation for supply network co-ordination," International Journal of Production Economics, Elsevier, vol. 122(1), pages 188-199, November.
    • Handle: RePEc:eee:proeco:v:122:y:2009:i:1:p:188-199
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    References listed on IDEAS

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    1. Manmohan S. Sodhi, 2001. "Applications and Opportunities for Operations Research in Internet-Enabled Supply Chains and Electronic Marketplaces," Interfaces, INFORMS, vol. 31(2), pages 56-69, April.
    2. Kelle, Peter & Akbulut, Asli, 2005. "The role of ERP tools in supply chain information sharing, cooperation, and cost optimization," International Journal of Production Economics, Elsevier, vol. 93(1), pages 41-52, January.
    3. Yusuf, Yahaya & Gunasekaran, A. & Abthorpe, Mark S., 2004. "Enterprise information systems project implementation:: A case study of ERP in Rolls-Royce," International Journal of Production Economics, Elsevier, vol. 87(3), pages 251-266, February.
    4. Boyle, Emily & Humphreys, Paul & McIvor, Ronan, 2008. "Reducing supply chain environmental uncertainty through e-intermediation: An organisation theory perspective," International Journal of Production Economics, Elsevier, vol. 114(1), pages 347-362, July.
    5. Arshinder & Kanda, Arun & Deshmukh, S.G., 2008. "Supply chain coordination: Perspectives, empirical studies and research directions," International Journal of Production Economics, Elsevier, vol. 115(2), pages 316-335, October.
    6. Geary, S. & Disney, S.M. & Towill, D.R., 2006. "On bullwhip in supply chains--historical review, present practice and expected future impact," International Journal of Production Economics, Elsevier, vol. 101(1), pages 2-18, May.
    7. Anussornnitisarn, Pornthep & Nof, Shimon Y. & Etzion, Opher, 2005. "Decentralized control of cooperative and autonomous agents for solving the distributed resource allocation problem," International Journal of Production Economics, Elsevier, vol. 98(2), pages 114-128, November.
    8. Welker, Gera A. & van der Vaart, Taco & Pieter van Donk, Dirk, 2008. "The influence of business conditions on supply chain information-sharing mechanisms: A study among supply chain links of SMEs," International Journal of Production Economics, Elsevier, vol. 113(2), pages 706-720, June.
    9. Miragliotta, Giovanni, 2006. "Layers and mechanisms: A new taxonomy for the Bullwhip Effect," International Journal of Production Economics, Elsevier, vol. 104(2), pages 365-381, December.
    10. Maloni, Michael J. & Benton, W.C., 1997. "Supply chain partnerships: Opportunities for operations research," European Journal of Operational Research, Elsevier, vol. 101(3), pages 419-429, September.
    11. Wright, David & Yuan, Xin, 2008. "Mitigating the bullwhip effect by ordering policies and forecasting methods," International Journal of Production Economics, Elsevier, vol. 113(2), pages 587-597, June.
    12. Stadtler, Hartmut, 2005. "Supply chain management and advanced planning--basics, overview and challenges," European Journal of Operational Research, Elsevier, vol. 163(3), pages 575-588, June.
    13. Hülsmann, Michael & Grapp, Jörn & Li, Ying, 2008. "Strategic adaptivity in global supply chains--Competitive advantage by autonomous cooperation," International Journal of Production Economics, Elsevier, vol. 114(1), pages 14-26, July.
    14. So, Kut C. & Zheng, Xiaona, 2003. "Impact of supplier's lead time and forecast demand updating on retailer's order quantity variability in a two-level supply chain," International Journal of Production Economics, Elsevier, vol. 86(2), pages 169-179, November.
    15. Bayraktar, Erkan & Lenny Koh, S.C. & Gunasekaran, A. & Sari, Kazim & Tatoglu, Ekrem, 2008. "The role of forecasting on bullwhip effect for E-SCM applications," International Journal of Production Economics, Elsevier, vol. 113(1), pages 193-204, May.
    16. Caloiero, Giuliano & Strozzi, Fernanda & Zaldívar Comenges, José-Manuel, 2008. "A supply chain as a series of filters or amplifiers of the bullwhip effect," International Journal of Production Economics, Elsevier, vol. 114(2), pages 631-645, August.
    17. Koh, S.C.L. & Gunasekaran, A. & Rajkumar, D., 2008. "ERP II: The involvement, benefits and impediments of collaborative information sharing," International Journal of Production Economics, Elsevier, vol. 113(1), pages 245-268, May.
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    Cited by:

    1. Amer, Yousef & Luong, Lee & Lee, Sang-Heon, 2010. "Case study: Optimizing order fulfillment in a global retail supply chain," International Journal of Production Economics, Elsevier, vol. 127(2), pages 278-291, October.
    2. Tuomikangas, Nina & Kaipia, Riikka, 2014. "A coordination framework for sales and operations planning (S&OP): Synthesis from the literature," International Journal of Production Economics, Elsevier, vol. 154(C), pages 243-262.
    3. Lin, Hao W. & Nagalingam, Sev V. & Kuik, Swee S. & Murata, Tomohiro, 2012. "Design of a Global Decision Support System for a manufacturing SME: Towards participating in Collaborative Manufacturing," International Journal of Production Economics, Elsevier, vol. 136(1), pages 1-12.

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