Pricing the green products in a sustainable supply chain with data envelopment analysis approach (case study: home appliance companies)

Journal of Applied Research on Industrial Engineering

Alireza Goli¹  Sayyed Mohammad Reza Davoodi²  Somayeh Sazegari² 

[1] Department of Industrial Engineering and Future Studies, Faculty of Engineering, University of Isfahan, Isfahan, Iran.;Department of Management, Dehaghan Branch, Islamic Azad University, Dehaghan, Iran.;

关键词: green supply chain;    sustainable supply chain;    pricing;    data envelopment analysis approach;    efficiency;   

DOI  :  10.22105/jarie.2021.310234.1391

来源: DOAJ

【 摘 要 】

Today, most supply chains are moving towards green business with a greater focus on environmental protection as a competitive advantage. Among them, the design of a three-stage green supply chain with optimal allocation, a multiple supply chain that includes supplier (first stage), manufacturer (second stage) and distributor (third stage), based on maximum efficiency and considering the internal processes and products between these three levels, can be of special importance; because, it will increase the economic and environmental performance of the supply chain. One of the methods used to evaluate efficiency in Green Supply Chain Management (GSCM) is Data Envelopment Analysis (DEA). Therefore, performance evaluation is vital for companies to improve the effectiveness and efficiency of the supply chain. In this study, using the three-stage approach of DEA, the data collected in 2020 from 9 Selected home appliance companies have been analyzed. The results show that company 1 has the best efficiency and the greenest supply chain and company 7 has the worst value of efficiency, which makes it necessary to pay more attention to low performance companies. In order to show the capability of the proposed model, the developed model was compared with its equivalent base model, and companies 1 and 2 were identified as inefficient in the proposed model, but identified as efficient in the base model. Given that the efficiency score in the proposed model is always lower than the base model, so the accuracy of the developed model can be concluded.

【 授权许可】

Unknown