ISSN 2587-814X (print),
ISSN 2587-8158 (online)

Russian version: ISSN 1998-0663 (print),
ISSN 2587-8166 (online)

Mehdi Shoja1, Farhad Lotfi2, Amir Abri3, Alireza Komijan3
  • 1 Roodehen Branch, Islamic Azad University, No 4, Shahid Ahmadi Alley, Valiasr Town, Firoozkooh, Tehran 3981838183, Iran
  • 2 Science and Research Branch, Islamic Azad University, Shohada Hesarak Blv, University Square, End of Shahid Sattari Highway, Tehran 1477893855, Iran
  • 3 Firoozkooh Branch, Islamic Azad University, First of Valiasr Town, 45 Meters Street, Firoozkooh, Tehran 3981838381, Iran

Efficiency of Green Supply Chain in the presence of non-discretionary and undesirable factors, using Data Envelopment Analysis

2021. No. 3 Vol.15. P. 78–96 [issue contents]

      A new approach that has dominated the production operations management field in recent years is supply chain management. A supply chain includes all the facilities, tasks and activities involved in manufacturing a product from suppliers to customers. Its various elements are planning, supply and demand management, procurement of raw materials, production scheduling, distribution and delivery of products to the customer. Special structures in the supply chain have been less studied in previous research. In this paper, the supply chain and its performance evaluation are examined in the presence of non-discretionary, undesirable and negative data. For this purpose, another model of the network DEA is presented which evaluates performance of the chain in the presence of non-discretionary inputs and outputs, undesirable outputs and negative outputs even in its internal structure. The efficiency of the chain stages is also calculated using a dual model. Subsequently, 42 cement companies listed on the Tehran stock exchange were evaluated, each of which has a chain of four stages including suppliers, manufacturers, distributors and customers. Based on the implementation of the model, six companies were found to be efficient and the rest were introduced as inefficient. Moreover, 25 cement companies in the Supplier sector, 18 companies in the manufacturing sector, seven companies in the distribution sector and finally 17 companies in the customer service sector were found to be efficient.

Citation: Shoja M., Lotfi F.H., Abri A.G., Komijan A.R. (2021) Efficiency of Green Supply Chain in the presence of non-discretionary and undesirable factors, using Data Envelopment Analysis. Business Informatics , vol. 15, no 3, pp. 78–96. DOI: 10.17323/2587-814X.2021.3.78.96
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