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Production planning in data envelopment analysis

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  • Amirteimoori, Alireza
  • Kordrostami, Sohrab

Abstract

The present paper extends prior researches on data envelopment (DEA)-based production planning in a centralized decision-making environment. In such an environment, the production planning problem involves the participation of all individual units, each contributing in part to the total production. The production planning problem involves determining the number of products to be produced by all individual units in the next season when demand changes can be forecasted. The current study is concerned with optimal production planning in a centralized decision-making environment. The approach proposed in this paper takes the size of operational units into consideration and the production level for each unit becomes proportional to the ability of the units. The applicability of the proposed approach in real applications is illustrated empirically using two real cases.

Suggested Citation

  • Amirteimoori, Alireza & Kordrostami, Sohrab, 2012. "Production planning in data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 140(1), pages 212-218.
    • Handle: RePEc:eee:proeco:v:140:y:2012:i:1:p:212-218
    DOI: 10.1016/j.ijpe.2011.09.025
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    References listed on IDEAS

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    1. Chazal, Marie & Jouini, Elyès & Tahraoui, Rabah, 2008. "Production planning and inventories optimization: A backward approach in the convex storage cost case," Journal of Mathematical Economics, Elsevier, vol. 44(9-10), pages 997-1023, September.
    2. Sharma, Sanjay, 2007. "A fresh approach to performance evaluation in a multi-item production scenario," European Journal of Operational Research, Elsevier, vol. 178(2), pages 627-630, April.
    3. Sharma, Sanjay, 2008. "On the flexibility of demand and production rate," European Journal of Operational Research, Elsevier, vol. 190(2), pages 557-561, October.
    4. Du, Juan & Liang, Liang & Chen, Yao & Bi, Gong-bing, 2010. "DEA-based production planning," Omega, Elsevier, vol. 38(1-2), pages 105-112, February.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. repec:dau:papers:123456789/185 is not listed on IDEAS
    7. Kim, Bokang & Kim, Sooyoung, 2001. "Extended model for a hybrid production planning approach," International Journal of Production Economics, Elsevier, vol. 73(2), pages 165-173, September.
    8. Pekka Korhonen & Mikko Syrjänen, 2004. "Resource Allocation Based on Efficiency Analysis," Management Science, INFORMS, vol. 50(8), pages 1134-1144, August.
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    Cited by:

    1. Tao Ding & Ya Chen & Huaqing Wu & Yuqi Wei, 2018. "Centralized fixed cost and resource allocation considering technology heterogeneity: a DEA approach," Annals of Operations Research, Springer, vol. 268(1), pages 497-511, September.
    2. Lozano, Sebastián & Contreras, Ignacio, 2022. "Centralised resource allocation using Lexicographic Goal Programming. Application to the Spanish public university system," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    3. Mariagrazia Dotoli & Nicola Epicoco & Marco Falagario, 2017. "A fuzzy technique for supply chain network design with quantity discounts," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1862-1884, April.

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