Fuzzy MCDM for Improving the Performance of Agricultural Supply Chain
作者机构:Department of Industrial Engineering and ManagementNational Kaohsiung University of Science and TechnologyKaohsiung CityTaiwan Faculty of CommerceVan Lang UniversityHo Chi Minh CityVietnam
出 版 物:《Computers, Materials & Continua》 (计算机、材料和连续体(英文))
年 卷 期:2022年第73卷第11期
页 面:4003-4015页
核心收录:
学科分类:0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学]
主 题:Fuzzy theory MCDM model fertilizer agricultural supply chain optimization
摘 要:Fertilizer industry in Vietnam and globally have entered the saturation *** the growth rate slowing down,this poses challenges for the development impetus of the fertilizer industry in the next *** fact,over the past few decades,Vietnam’s crop industry has abused excessive investment in chemical fertilizers,with organic fertilizers are rarely used or not at all,limiting crop productivity,increasing pests and *** develop sustainable agriculture,Vietnam’s crop industry must limit the use of chemical fertilizers,increase the use of environmentally friendly organic and natural mineral fertilizers to produce clean agricultural products which is ***,it is necessary to consider and choose the right supplier to ensure the goal of sustainable *** Fuzzy Analytic Hierarchy Process(SF-AHP),and the combinative distance-based assessment(CODAS)are new Multicriteria Decision Making(MCDM)method which can be used to solve supplier selection *** paper uses an effective solution based on a combined the concept of triple bottom line(TBL),SF-AHP and CODAS approach to help agriculture companies that need to select the best fertilizer *** research can support supply chain managers to achieve supply chain systems that reduce not only sourcing costs,but also develop sustainable agriculture.