A Data Envelopment Analysis Approach to Supply Chain Efficiency
| Autor: | Leila Khoshandam, Alireza Amirteimoori |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Statistics and Probability
Supply chain management Article Subject Operations research Computer science lcsh:Mathematics Applied Mathematics media_common.quotation_subject Supply chain Yield (finance) General Decision Sciences Service management lcsh:QA1-939 Microeconomics Computational Mathematics Data envelopment analysis Decomposition (computer science) Production (economics) Quality (business) media_common |
| Zdroj: | Advances in Decision Sciences, Vol 2011 (2011) |
| ISSN: | 2090-3367 2090-3359 |
| DOI: | 10.1155/2011/608324 |
| Popis: | Supply chain management is an important competitive strategies used by modern enterprises. Effective design and management of supply chains assists in the production and delivery of a variety of products at low costs, high quality, and short lead times. Recently, data envelopment analysis (DEA) has been extended to examine the efficiency of supply chain operations. Due to the existence of intermediate measures, the usual procedure of adjusting the inputs or outputs, as in the standard DEA approach, does not necessarily yield a frontier projection. The current paper develops a DEA model for measuring the performance of suppliers and manufacturers in supply chain operations. Additive efficiency decomposition for suppliers and manufacturers in supply chain operations is proposed. |
| Databáze: | OpenAIRE |
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