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Leveraging information sharing to configure supply chains

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Abstract

As supply chains evolve beyond the confines of individual organizations, information sharing has become the holy grail in supply chain technology. Although the value of information sharing is well recognized, there is little research on how to use it to configure supply chains. This paper proposes a parameterized model to capture information sharing in a supply chain. By changing the parameters of this model, we actually adjust the degree of information sharing and create new supply chain configurations. Configurations are the means of responding to events or changes in supply chains in a timely manner. A complete example is used to demonstrate this methodology. We also perform simulation experiments to compare configurations and to understand the effect of information sharing on supply chain performance. Thus, we show how to achieve supply chain configurability by leveraging information sharing. A supply chain architecture which allows agility, adaptability and alignment of partner interests is also proposed based on this methodology.

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Reference

  • van der Aalst, W. M. P. (1999). Formalization and verification of event-driven process chains. Information and Software Technology, 41(10), 639–650.

    Article  Google Scholar 

  • Angulo, A., Nachtmann, H., & Waller, M. (2004). Supply chain information sharing in a vendor managed inventory partnership. Journal of Business Logistics, 25(1), 101–116.

    Google Scholar 

  • Bensaou, M., & Venkatraman, N. (1995). Configurations of interorganizational relationshops: a comparison between U.S. and Japanese automakers. Management Science, 41(9), 1471–1492.

    Article  Google Scholar 

  • Chen, F. (2003). Information sharing and supply chain coordination. In A. G. de Kok & S. C. Graves (Eds.), Handbooks in operations research and management science, Vol. 11, supply chain management: Design, coordination, and operation. Amsterdam: Elsevier.

    Google Scholar 

  • Chopra, S., & Meindl, P. (2001). Supply chain management: Strategy, planning, and operations. Upper Saddle River: Prentice Hall.

    Google Scholar 

  • EDI ANSI X12. (1997). EDI V4 (004010), http://www.disa.org/bookstore/public/index.cfm

  • Finley, F., & Srikanth, S. (2005). 7 Imperatives for successful collaboration. Supply Chain Management Review, 9, 30–37.

    Google Scholar 

  • Fox, M. S., Barbuceanu, M., & Teigen, R. (2000). Agent-oriented supply chain management. The International Journal of Flexible Manufacturing Systems, 12(2–3), 165–188.

    Article  Google Scholar 

  • Gosain, S., Malhotra, A., & El Sawy, O. A. (2004). Coordinating for flexibility in e-business supply chains. Journal of Management Information Systems, 21(3), 7–45.

    Article  Google Scholar 

  • Haeckel, S. H. (1999). Adaptive enterprise: Creating and Leading Sense-and-Respond Organizations. Boston: Harvard Business School Press.

    Google Scholar 

  • IBM Rational XDE. Version 2003.06.12. http://www-306.ibm.com/software/awdtools/developer/rosexde/

  • Kapoor, S., Bhattacharya, K., Buckley, S., Chowdhary, P., Ettl, M., Katircioglu, K., et al. (2005). A technical framework for sense-and-respond business management. IBM Systems Journal, 44(1), 5–24.

    Article  Google Scholar 

  • Kelton, D., Sadowski, R., & Sturrock, D. (2004). Simulation with Arena. 3rd edition, New York: Mc Graw Hill.

    Google Scholar 

  • Lee, H. (2004). The triple-A supply chain. Harvard Business Review, 82, 102–112.

    Google Scholar 

  • Li, Z., Kumar, A., & Lim, Y. (2002). Supply chain modelling—a co-ordination approach. Integrated Manufacturing Systems, 13(8), 551–561.

    Article  Google Scholar 

  • Liu, R., & Kumar, A. (2003). Leveraging Information Sharing to Increase Supply Chain Configurability. In Proceedings of International Conference on Information Systems (ICIS 2003), Seattle, pp. 523–536.

  • Liu, R., Kumar, A., & Aalst, W. (2007). A formal modeling approach for supply chain event management. Decision Support Systems, 43(3), 761–778.

    Article  Google Scholar 

  • Malhotra, A., Gosain, S., & El Sawy, O. A. (2005). Absorptive capacity configurations in supply chains: gearing for partner-enabled market knowledge creation. MIS Quarterly, 29(1), 145–187.

    Google Scholar 

  • McCarthy, D. R., & Dayal, U. (1989). The architecture of an active database system. In J. Clifford, B. G. Lindsay & D. Maier (Eds.), Proceedings of ACM SIGMOD conference on management of data (pp. 215–224). New York: ACM Press.

    Google Scholar 

  • Miller, H. (1996). The multiple dimensions of information quality. Information System Management, 13(2), 79–82.

    Article  Google Scholar 

  • NØkkentved, C., & Hedaa, L. (2000). Collaborative Processes in esupply Networks. In Proceedings of the 16th International Marketing and Purchasing Group Conference, U.K, Available via http://www.bath.ac.uk/imp/pdf/90_NoekkentvedHedaa.pdf.

  • OMG. (2003). Unified Modeling Language Specification, Version 1.5. Object Management Group, (Available via http://www.omg.org/technology/documents/formal/uml.htm).

  • Parolini, C. (1999). The value net: A tool for competitive strategy. England: Wiley.

    Google Scholar 

  • Supply-Chain Council. (2003). Supply-Chain Operations Reference-Model, Overview of SCOR, Version 6.0., Available at http://www.supply-chain.org/scoroverview.asp.

  • Tyworth, J. E., Guo, Y., & Ganeshan, R. (1996). Inventory control under gamma demand and random lead time. Journal of Business Logistics, 17(1), 291–304.

    Google Scholar 

  • Voluntary Interindustry Commerce Standards (VICS) Association. (2002). Collaborative Planning, Forecasting and Replenishment (CPFR) Version 2.0, http://www.vics.org/docs/committees/cpfr/CPFR_Tabs_061802.pdf.

  • Waller, M., Johnson, M. E., & Davis, T. (1999). Vendor managed inventory in the retail supply chain. Journal of Business Logistics, 20(1), 183–203.

    Google Scholar 

  • XQuery. (2007). XQuery 1.0: An XML Query Language. W3C. Available at http://www.w3.org/TR/2007/REC-xquery-20070123/.

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Acknowledgements

The authors thank Steve Buckley, Dawn Russell, Alan Stenger, and John Yen for their helpful comments on an earlier version of this paper.

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Correspondence to Rong Liu.

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This research was supported in part by IBM Corporation and a substantial part of it was conducted when the first author was at Penn State University.

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Liu, R., Kumar, A. Leveraging information sharing to configure supply chains. Inf Syst Front 13, 139–151 (2011). https://doi.org/10.1007/s10796-009-9222-8

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