17 بهمن 1401

عبد الحمید صفایی قادیکلایی

مرتبه علمی: استاد
نشانی:
تحصیلات: دکترای تخصصی / مدیریت صنعتی
تلفن: 9111125021
دانشکده: دانشکده علوم اقتصادی و اداری

مشخصات پژوهش

عنوان Extension of a Hybrid MABAC–DANP Method Under Gray Environment for Green Supplier Selection
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
Green supplier selection; wood and paper industry; uncertainty; gray numbers; Gray MABAC; Gray DANP.
مجله International Journal of Information System Modeling and Design
شناسه DOI 10.1142/S021962202150070X
پژوهشگران عبد الحمید صفایی قادیکلایی (نفر اول) ، سحر ولی پور پرکوهی (نفر دوم) ، داوود درویشی سلوکلایی (نفر سوم)

چکیده

Nowadays, environmental problems have attracted the attention of many craftsmen and researchers. They have developed various policies and practices to protect the environment throughout the supply chain. Since suppliers are one of the supply chain partners, paying attention to these policies by them will be very effective in keeping the supply chain green. In today's dynamic environment, there is uncertainty in all decisions of organizations. The wood and paper industry also faces uncertainty in choosing green and environmentally friendly suppliers. These uncertainties must be taken into account when selecting suppliers. Decision-making techniques will cover uncertainty if developed in a grey environment. Many techniques have been developed in a grey environment. But using a combination of DANP and MABAC techniques in a grey environment will be very useful because of the benefits of each. Therefore, using the combination of DANP and MABAC in a grey environment in order to select a green supplier in the wood and paper industry is a gap that is felt and in this paper we try to overcome it. The research findings show that the identified criteria will be very effective in selecting the Green supplier and Grey DANP-MABAC and can be used for managers' decisions in the wood and paper industry.