Neutrosophic Mathematical Programming for Optimization of Multi-Objective Sustainable Biomass Supply Chain Network Design
作者机构：Department of Industrial EngineeringIslamic Azad UniversityCentral Tehran BranchTehranIran
出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)
年 卷 期：2021年第129卷第11期
页 面：927-951页
核心收录：
学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
基 金：The authors received no specific funding for this study
主 题：Neutrosophic mathematical programming sustainable supply chain biomass supply chain neutrosophic set uncertainty
摘 要：In this paper,a multi-objective sustainable biomass supply chain network under uncertainty is designed by neutrosophic programming *** this method,for each objective function of the problem,three functions of truth membership,non-determination and falsehood are *** programming method in this paper simultaneously seeks to optimize the total costs of the supply chain network,the amount of greenhouse gas emissions,the number of potential people hired and the time of product transfer along the supply chain *** achieve the stated objective functions,strategic decisions such as locating potential facilities and tactical decisions such as optimal product flow allocation and vehicle routing must be *** results of the implementation of neutrosophic programming method show the high efficiency of this method in achieving the optimal values of each objective ***,by examining the rate of uncertainty,it was observed that with increasing this rate,the total costs of supply chain network design,greenhouse gas emissions and product transfer times have increased,and in contrast,the potential employment rate of individuals has decreased.
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