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Reprint of “Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers”
Institution:1. Institute of Strategic Industrial Decision Modelling, School of Quantitative Sciences, Universiti Utara Malaysia, Sintok, Kedah 06010 UUM, Malaysia;2. College of Administration and Economics, University of Anbar, Ramadi, Iraq
Abstract:To meet green supply chain management’s requirements of a company and its transportation service providers (TSPs), it is essential to set clear, achievable, and realistic targets. This paper proposes two data envelopment analysis (DEA) approaches to find targets for two-stage network structures. The objective of proposed approaches is to plan in feasible region. The feasible region specifies bounds to ensure targets are within current operational capacity of TSPs. Applying the approaches to set targets for 24 TSPs lead to different results. However, proposed models ensure that the TSPs would be efficient in their current capacity.
Keywords:Green supply chain management  Supplier monitoring  Target setting  Network data envelopment analysis  Multi-objective linear programming  Goal-directed benchmarking  Feasible planning region
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