Assessing sustainability of supply chains by chance-constrained two-stage DEA model in the presence of undesirable factors. (English) Zbl 1458.90394
Summary: Sustainable supply chain is recognized as a key component of corporate responsibility. Despite conventional data envelopment analysis (DEA) models that view decision making units (DMUs) as black boxes, two-stage DEA models take into account intermediate measures within a DMU. However, there might be stochastic data. Objective of this paper is to present a new stochastic two-stage DEA model in the presence of undesirable data. We present some linear models that obtain lower and upper bounds of efficiencies of stages 1 and 2. Also, we propose a linear model that calculates overall efficiency of DMUs. Meanwhile, we extend our proposed model for dealing with stochastic data in the presence of undesirable data. A case study demonstrates applicability of our approach.
MSC:
| 90B50 | Management decision making, including multiple objectives |
Keywords:
sustainability of supply chain; chance-constrained data envelopment analysis (DEA); intermediate products; efficiency; two-stage DEA model; undesirable data; stochastic dataReferences:
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