A preliminary study on using Data Envelopment Analysis (DEA) in measuring supply chain efficiency
This paper illustrates the use of Data Envelopment Analysis (DEA) in measuring supply chain efficiency. Two models were developed – Technical Efficiency (TE) model and Cost Efficiency (CE) model. The information obtained enable managers to identify inefficient operations and take appropriate actio...
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| Format: | Article |
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Inderscience Publisher
2007
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| _version_ | 1796854146918252544 |
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| author | Wong, Wai Peng Jaruphongsa, Wikrom Lee, Loo Hay Wong, Kuan Yew |
| author_facet | Wong, Wai Peng Jaruphongsa, Wikrom Lee, Loo Hay Wong, Kuan Yew |
| author_sort | Wong, Wai Peng |
| collection | ePrints |
| description | This paper illustrates the use of Data Envelopment Analysis (DEA) in measuring supply chain efficiency. Two models were developed – Technical Efficiency (TE) model and Cost Efficiency (CE) model. The information obtained enable managers to identify inefficient operations and take appropriate actions for improvement. The opportunity cost serves as a good reference on resource allocations. The models are further enhanced with scenario analysis to derive more meaningful insights for resources planning. The study proves the usefulness of DEA as a decision-making tool in supply chain. Future research could look into the possibility of modelling DEA in a stochastic supply chain environment. |
| first_indexed | 2024-03-05T18:10:02Z |
| format | Article |
| id | utm.eprints-6905 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:10:02Z |
| publishDate | 2007 |
| publisher | Inderscience Publisher |
| record_format | dspace |
| spelling | utm.eprints-69052022-04-29T21:53:46Z http://eprints.utm.my/6905/ A preliminary study on using Data Envelopment Analysis (DEA) in measuring supply chain efficiency Wong, Wai Peng Jaruphongsa, Wikrom Lee, Loo Hay Wong, Kuan Yew TJ Mechanical engineering and machinery This paper illustrates the use of Data Envelopment Analysis (DEA) in measuring supply chain efficiency. Two models were developed – Technical Efficiency (TE) model and Cost Efficiency (CE) model. The information obtained enable managers to identify inefficient operations and take appropriate actions for improvement. The opportunity cost serves as a good reference on resource allocations. The models are further enhanced with scenario analysis to derive more meaningful insights for resources planning. The study proves the usefulness of DEA as a decision-making tool in supply chain. Future research could look into the possibility of modelling DEA in a stochastic supply chain environment. Inderscience Publisher 2007 Article PeerReviewed Wong, Wai Peng and Jaruphongsa, Wikrom and Lee, Loo Hay and Wong, Kuan Yew (2007) A preliminary study on using Data Envelopment Analysis (DEA) in measuring supply chain efficiency. International Journal of Applied Systemic Studies, 1 (2). pp. 188-207. ISSN 751-0589 http://dx.doi.org/10.1504/IJASS.2007.015588 DOI: 10.1504/IJASS.2007.015588 |
| spellingShingle | TJ Mechanical engineering and machinery Wong, Wai Peng Jaruphongsa, Wikrom Lee, Loo Hay Wong, Kuan Yew A preliminary study on using Data Envelopment Analysis (DEA) in measuring supply chain efficiency |
| title | A preliminary study on using Data Envelopment Analysis (DEA) in measuring supply chain efficiency |
| title_full | A preliminary study on using Data Envelopment Analysis (DEA) in measuring supply chain efficiency |
| title_fullStr | A preliminary study on using Data Envelopment Analysis (DEA) in measuring supply chain efficiency |
| title_full_unstemmed | A preliminary study on using Data Envelopment Analysis (DEA) in measuring supply chain efficiency |
| title_short | A preliminary study on using Data Envelopment Analysis (DEA) in measuring supply chain efficiency |
| title_sort | preliminary study on using data envelopment analysis dea in measuring supply chain efficiency |
| topic | TJ Mechanical engineering and machinery |
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