Abstract
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.
Original language | English |
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Pages (from-to) | 381-391 |
Number of pages | 11 |
Journal | Expert Systems |
Volume | 32 |
Issue number | 3 |
DOIs | |
Publication status | Published - Jun 1 2015 |
Keywords
- network data envelopment analysis
- performance measurement
- supply chain management
- zero data
ASJC Scopus subject areas
- Control and Systems Engineering
- Theoretical Computer Science
- Computational Theory and Mathematics
- Artificial Intelligence