In:
Expert Systems, Wiley, Vol. 32, No. 3 ( 2015-06), p. 381-391
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.
Type of Medium:
Online Resource
ISSN:
0266-4720
,
1468-0394
Language:
English
Publisher:
Wiley
Publication Date:
2015
detail.hit.zdb_id:
284011-X
detail.hit.zdb_id:
283676-2
detail.hit.zdb_id:
2016958-9
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