Supply Chain Performance Measurement Framework for Manufacturing Industries – A Theoretical Approach
AbstractThe article addresses the issues of Supply Chain (SC) performance measurement – the process of qualifying the efficiency and effectiveness of the supply chain. The aim of this study is to create a supply chain measurement framework for the manufacturing industry. This study creates a framework for supply chain measurement by presenting the main theory framework for such measurement. It is stated that supply chain performance measurement is extremely important in developing the supply chain. The measurement framework in this study offers guidelines for measuring the supply chain in the manufacturing industry.
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This chapter was published in: Ilkka Sillanpaa & Pekka Kess , , pages 801-823, 2011.
This item is provided by University of Primorska, Faculty of Management Koper in its series MIC 2011: Managing Sustainability? Proceedings of the 12th International Conference, Portorož, 23–26 November 2011 [Selected Papers] with number 801-823.
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supply chain; performance measurement; supply chain management; manufacturing industry; strategy; tactics; operations;
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- Waggoner, Daniel B. & Neely, Andy D. & P. Kennerley, Mike, 1999. "The forces that shape organisational performance measurement systems: An interdisciplinary review," International Journal of Production Economics, Elsevier, vol. 60(1), pages 53-60, April.
- Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
- Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
- Otto, Andreas & Kotzab, Herbert, 2003. "Does supply chain management really pay? Six perspectives to measure the performance of managing a supply chain," European Journal of Operational Research, Elsevier, vol. 144(2), pages 306-320, January.
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