Identifying the most productive scale size in the green supply chain using data envelopment analysis

Subject Areas : Economic Development, Innovation, Technological Change, and Growth

Amir Gholam Abri ¹

1 - Associate Professor, Firuzkuh branch, Islamic Azad University, Firuzkuh, Iran (Corresponding Author), [e-mail]

Received: 2024-07-22 Accepted : 2024-10-14 Published : 2024-10-14

Keywords: Keywords: Most Productive Scale Size, Decision Making Unit, Network DEA JEL Classification: C02, D24, L61,

Abstract :

Today, focusing on improving the performance of supply chains is the only way to gain competitive advantages in the global business market. Data envelopment analysis method as a mathematical programming method is one of the important methods for measuring and evaluating the efficiency of decision making units. In this article, we define the unit under evaluation with the largest scale of productivity in the structure of the green supply chain and explain how to calculate it using data envelopment analysis. For this purpose, using the BCC multiple model of the complete supply chain, a unit with the most productive scale size determined. After identifying the units with the most productive scale size, for the units that do not apply in this condition, the closest unit with the most productive scale is introduced as a model. Finding the closest unit with the most productive scale is important because normal units can reach them with minimal changes. The statistical population of this applied research is 42 cement companies listed on the stock exchange. In the first step, the definition and identification of a unit with the most productive scale size of these companies, whose corresponding chain of each of them has four stages of supplier, producer, distributor and customer, was prioritized. In the next step, the closest unit with the most productive scale size was introduced as a model for normal units. In conclusion, the results of model execution and its analysis will be presented.

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