Frontier-based performance analysis models for supply chain management: State of the art and research directions

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dc.contributor.author Agrell, P. J. en
dc.contributor.author Hatami-Marbini, A. en
dc.date.accessioned 2017-02-28T16:09:07Z
dc.date.available 2017-02-28T16:09:07Z
dc.date.issued 2013-02-28
dc.identifier.citation Agrell, P. J. and Hatami-Marbini, A. (2013) Frontier-based performance analysis models for supply chain management: State of the art and research directions. Computers & Industrial Engineering, 66 (3), pp. 567-583 en
dc.identifier.uri http://hdl.handle.net/2086/13350
dc.description.abstract Effective supply chain management relies on information integration and implementation of best practice techniques across the chain. Supply chains are examples of complex multi-stage systems with temporal and causal interrelations, operating multi-input and multi-output production and services under utilization of fixed and variable resources. Acknowledging the lack of system’s view, the need to identify system-wide and individual effects as well as incorporating a coherent set of performance metrics, the recent literature reports on an increasing, but yet limited, number of applications of frontier analysis models (e.g. DEA) for the performance assessment of supply chains or networks. The relevant models in this respect are multi-stage models with various assumptions on the intermediate outputs and inputs, enabling the derivation of metrics for technical and cost efficiencies for the system as well as the autonomous links. This paper reviews the state of the art in network DEA modeling, in particular two-stage models, along with a critical review of the advanced applications that are reported in terms of the consistency of the underlying assumptions and the results derived. Consolidating current work in this range using the unified notations and comparison of the properties of the presented models, the paper is closed with recommendations for future research in terms of both theory and application. en
dc.language.iso en en
dc.publisher Elsevier en
dc.subject Supply chain management en
dc.subject Data envelopment analysis en
dc.subject Two-stage process en
dc.subject Game theory en
dc.subject Bi-level programming en
dc.title Frontier-based performance analysis models for supply chain management: State of the art and research directions en
dc.type Article en
dc.identifier.doi http://dx.doi.org/10.1016/j.cie.2013.02.014
dc.peerreviewed Yes en
dc.funder N/A en
dc.projectid N/A en
dc.cclicence N/A en


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