SUPPLY CHAIN PERFORMANCE MEASUREMENT: A CASE STUDY ABOUT APPLICABILITY OF SCOR MODEL IN A MANUFACTURING INDUSTRY FIRM

Year 2011, Volume: 3 Issue: 1, 381 - 390, 01.06.2011

Turan Erman Erkan Ugur Baç

Abstract

The Supply Chain Operations Reference model (SCOR) is the product of the Supply Chain Council. The supply chain operations reference model (SCOR) is a management tool used to address, improve, and communicate supply chain management decisions within a company and with suppliers and customers of a company. The model describes the business processes required to satisfy a customer’s demands. It also helps to explain the processes along the entire supply chain and provides a basis for how to improve those processes. The model integrates business concepts of process reengineering, benchmarking, and measurement into its framework. This framework focuses on five areas of the supply chain: plan, source, make, deliver, and return. These areas repeat again and again along the supply chain in order to satisfy continuous improvement. This study is about determining the limitations of SCOR model in a manufacturing industry firm in Turkey. All the steps of SCOR model considered and adaptability, compatibility and sustainability of the model analyzed among all of its steps as and plan, source, make, deliver, and return

Keywords

Supply Chain Management (SCM), SCOR Model, Organizational fit

References

• Cavalieri, S., Gaiardelli, P., and Ierace, S. (2007), “Aligning strategic profiles with operational metrics in after-sales service”, International Journal of
• Productivity and Performance Management, Vol. 56, No. 5–6, pp. 436–455. Foster Jr, S.T. (2008), “Towards an understanding of supply chain quality management”, Journal of Operations Management, Vol. 26, No. 4, pp. 461–467.
• Gunasekaran A., Patel C., Tirtiroglu E. (2001), “Performance measures and metrics in a supply chain environment”, International Journal of Operational
• Production Management, Vol. 21, No. 1, pp. 71–87. Hwang Y., Lin Y., Lyu J. (2008), “The performance evaluation of SCOR sourcing process-The case study of Taiwan’s TFT-LCD industry”, International Journal of
• Production Economics, Vol. 115, No. pp. 411– 423. Li S., Ragu-Nathan B., Ragu-Nathan T.S., Subba Rao S. (2006), “The impact of supply chain management practices on competitive advantage and organizational performance”, Omega, Vol. 34, No. 2, pp. 107–124.
• Liu, C.H. (2009), “The effect of a quality management system on supply chain performance: an empirical study in Taiwan”, International Journal of
• Management, Vol. 26, No. 2, pp. 285–295. Lockamy III, A. and McCormack, K. (2004), “Linking SCOR planning practices to supply chain performance: an exploratory study”, International Journal of
• Operations & Production Management, Vol. 24, No. 11–12, pp. 1192–1218.
• Meyr, H., Rohde, J., Stadtler, H. (2002), Basics for modelling. In: Stadtler, H.,
• Kilger, C. (Eds.), Supply Chain Management and Advanced Planning, second ed. Springer, Berlin, pp. 45–70. Millet, P., Schmitt, P., and Botta-Genoulaz, V. (2009), “The SCOR model for the alignment of business processes and information systems”, Enterprise
• Information Systems, Vol. 3, No. 4, pp. 393–407. Naesens, K., Gelders, L., and Pintelon, L. (2007), “A swift response tool for measuring the strategic fit for resource pooling: a case study”, Management
• Decision, Vol. 45, No. 3, pp. 434–449. Naesens, K., Gelders, L., and Pintelon, L. (2009), “A swift response framework for measuring the strategic fit for a horizontal collaborative initiative”,
• International Journal of Production Economics, Vol. 121, No. 2, pp. 550–561. Reichardt, E. and Nichols, L.J. (2003), “SCOR your ISO certification”, Quality, Vol. 42, No. 2, pp. 44–47.
• Soffer, P. and Wand, Y. (2007), “Goal-driven multi-process analysis”, Journal of the Association for Information Systems, Vol. 8, No. 3, pp. 175–204.
• Supply-Chain Council (SCC) (2008), Supply-chain operations reference (SCOR) model, version 9.0, http://supply-chain.org, [Accessed 14.12.2008].
• Tesoro, F., Tootson, J. (2000), Implementing Global Performance Measurement
• Systems-A Cookbook Approach. Jossey-Bass, San Francisco. Trkman P., McCormack K., Valadares de Oliveira M.P., Ladeira M.B. (2010),
• “The impact of business analytics on supply chain performance”, Decision Support Systems, Vol. 49, pp. 318–327. Trkman P., Indihar Štemberger M., Jaklič J., Groznik A. (2007), “Process approach to supply chain integration”, Supply Chain Management-An
• International Journal, Vol. 12, No. 2, pp. 116–128. Xu, L. (2007), “Editorial”, Enterprise Information Systems, Vol. 1, No. 1, pp. 1–2.