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

作者：Tavassoli Mohammad^*; Saen Reza Farzipoor; Faramarzi Gholam Reza

来源：Expert Systems, 2015, 32(3): 381-391.

DOI：10.1111/exsy.12097

• network data envelopment analysis
• supply chain management
• zero data
• performance measurement

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.

• 出版日期2015-6