On metrics for supply chain resilience
| Autor: | Tava Lennon Olsen, Golnar Behzadi, Michael O'Sullivan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
050210 logistics & transportation
021103 operations research Information Systems and Management Supply chain management General Computer Science Present value Computer science Supply chain 05 social sciences 0211 other engineering and technologies 02 engineering and technology Management Science and Operations Research Industrial and Manufacturing Engineering Profit (economics) Stochastic programming Investment decisions Risk analysis (engineering) Robustness (computer science) Modeling and Simulation 0502 economics and business Perishability |
| Zdroj: | European Journal of Operational Research. 287:145-158 |
| ISSN: | 0377-2217 |
| DOI: | 10.1016/j.ejor.2020.04.040 |
| Popis: | Resilience, defined as the ability to recover quickly and effectively from a disruption, is critically important for supply chains. Yet, it has not been quantified as frequently as supply chain robustness. In this paper we review the existing metrics for supply chain resilience and introduce a new metric, titled the net present value of the loss of profit (NPV-LP). We test these metrics on a small supply chain problem consisting of one supply and one demand node for a perishable good over a multi-period horizon with a possible port shut-down. We use a stochastic programming formulation of the problem. We show how the different metrics cause different investment decisions for the supply chain, and hence why it is important to carefully pick the correct metric when modeling supply chain resilience. |
| Databáze: | OpenAIRE |
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