Abstract
Presently, environmental management for companies emphasizing environmental protection has become one of the most critical issues for customers, shareholders, governments, employees, competitors, and global pressures requiring organizations to produce environmentally-friendly products and services. This challenge has created a new concept called green supply chain management in business, which combines environmental thinking with the supply chain. Selection of suppliers by considering risk criteria is a category that has attracted the attention of a large number of researchers in order to select the best suppliers according to uncertain factors. In this research, we aim to select a green supplier considering risk factors using a new MCDM approach under uncertainty. For this selection problem, HF-MAIRCA, a new multicriteria sorting method for many alternatives, has been developed. This is used for sorting the alternatives into predefined, ordered supplier categories. This sorting method can be applied to different environmental problems that have a large number of alternatives. As a result of Iran’s case study, the result shows that materials flexibility and materials quality are essential criteria for green supplier selection.
Highlights
Chain management is a serious and fundamental matter to take into account [1,2,3,4]
We seek to develop a new integrated model of entropy-MAIRCA based on hesitant fuzzy set to select a green supplier in the construction industry under uncertainty
Healthier and more comfortable living conditions are the direct result of constructing green buildings and a reduction in greenhouse gas emissions in the construction industry
Summary
Chain management is a serious and fundamental matter to take into account [1,2,3,4]. E process of selecting the right supplier that can meet the customer’s needs in terms of quality, price, and punctuality is one of the essential elements in creating a supply chain [9,10,11,12]. E selection of the right supplier is critical to a company’s manufacturing and distribution operations [13,14,15,16]. Choosing the wrong suppliers will result in significant financial losses for the business [21,22,23,24]. By identifying suppliers who will meet the organization’s needs, a significant reduction in production costs can be realized, and the company’s competitiveness will be enhanced [25,26,27,28]. A large portion of the final product cost is included in raw materials and components in almost all industries [15, 29,30,31]
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