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• W2059103696 abstract "This survey paper starts with a critical analysis of various performance metrics for supply chain management (SCM), used by a specific manufacturing company. Then it summarizes how economic theory treats multiple performance metrics. Actually, the paper proposes to deal with multiple metrics in SCM via the balanced scorecard — which measures customers, internal processes, innovations, and finance. To forecast how the values of these metrics will change — once a supply chain is redesigned — simulation may be used. This paper distinguishes four simulation types for SCM: (i) spreadsheet simulation, (ii) system dynamics, (iii) discrete-event simulation, and (iv) business games. These simulation types may explain the bullwhip effect, predict fill rate values, and educate and train users. Validation of simulation models requires sensitivity analysis; a statistical methodology is proposed. The paper concludes with suggestions for a possible research agenda in SCM. A list with 50 references for further study is included." @default.
• W2059103696 created "2016-06-24" @default.
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• W2059103696 date "2003-05-01" @default.
• W2059103696 modified "2023-10-11" @default.
• W2059103696 title "Performance metrics in supply chain management" @default.
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• W2059103696 doi "https://doi.org/10.1057/palgrave.jors.2601539" @default.
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