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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 280))

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Abstract

Performance measurement is important to improve organizational competitiveness. Organizations and researchers have developed and investigated various performance-measurement systems to manage and improve internal and external operations for logistics and supply chain (SC). Supply chain management (SCM) refers to all of the processes, technologies, and strategies, and the many-factored elements interact each other, so the performance measurement approach of supply chain is a difficult proposition. In traditional SC performance assessment approach, the SC metrics are difficult to define and to measure, and this kind of assessment focuses more on financial data and outcomes. Process-based SC performance assessment supports a process-oriented view, and gives early warning signals. This paper describes the common SC performance measurement approaches and the process-based SC performance measurement approaches in detail, and aims at revealing different kind of approaches of performance measurement in the new supply chain era.

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Acknowledgments

This thesis is funded by “2012 humanities and social sciences research base by SiChuan Provincial Department of Education, the research center of system science and enterprise development”. Topics is XQ12C05.

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Correspondence to Hua Wen .

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Wen, H. (2014). Process-Based Supply Chain Performance Measurement. In: Xu, J., Cruz-Machado, V., Lev, B., Nickel, S. (eds) Proceedings of the Eighth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 280. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55182-6_64

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  • DOI: https://doi.org/10.1007/978-3-642-55182-6_64

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