Name
Abstract | ||
|---|---|---|
An appropriate performance measurement system is an important requirement for the effective management of a supply chain.
Two hurdles are present in measuring the performance of a supply chain and its members. One is the existence of multiple measures
that characterize the performance of chain members, and for which data must be acquired; the other is the existence of conflicts
between the members of the chain with respect to specific measures. Conventional data envelopment analysis (DEA) cannot be
employed directly to measure the performance of supply chain and its members, because of the existence of the intermediate
measures connecting the supply chain members. In this paper it is shown that a supply chain can be deemed as efficient while
its members may be inefficient in DEA-terms. The current study develops several DEA-based approaches for characterizing and
measuring supply chain efficiency when intermediate measures are incorporated into the performance evaluation. The models
are illustrated in a seller-buyer supply chain context, when the relationship between the seller and buyer is treated first
as one of leader-follower, and second as one that is cooperative. In the leader-follower structure, the leader is first evaluated,
and then the follower is evaluated using information related to the leader's efficiency. In the cooperative structure, the
joint efficiency which is modelled as the average of the seller's and buyer's efficiency scores is maximized, and both supply
chain members are evaluated simultaneously. Non-linear programming problems are developed to solve these new supply chain
efficiency models. It is shown that these DEA-based non-linear programs can be treated as parametric linear programming problems,
and best solutions can be obtained via a heuristic technique. The approaches are demonstrated with a numerical example. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s10479-006-0026-7 | Annals OR |
Keywords | Field | DocType |
Supply chain,Efficiency,Best practice,Performance,Data envelopment analysis (DEA),Buyer,Seller | Heuristic,Mathematical optimization,Best practice,Performance measurement,Parametric linear programming,Supply chain,Data envelopment analysis,Mathematics | Journal |
Volume | Issue | ISSN |
145 | 1 | 15729338 |
Citations | PageRank | References |
90 | 4.30 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liang Liang | 1 | 1344 | 92.90 |
| F. Yang | 2 | 489 | 45.25 |
| Wade D. Cook | 3 | 1215 | 84.70 |
| Joe Zhu | 4 | 1762 | 167.31 |