Developing network data envelopment analysis model for supply chain performance measurement in the presence of zero data

Performance measurement of supply chain SC has a vital impact on SC management and can increase efficiency of whole system and also brings competitive advantages for companies. Conventional data envelopment analysis DEA models treat the supply chain as a black box and do not deal with interactions of components within supply chain. Existence of zero data in supply chains can be a new assumption in performance evaluation. The main objective of this paper is to propose a new network DEA NDEA model in the presence of zero data. In addition, to rank supply chains, this paper proposes a novel super-efficiency formulation of NDEA using input saving and output surplus concepts. To demonstrate applicability of the proposed model, a case study is presented.

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