In developing countries,solar energy is the largest source of energy,accounting for 35%–45%of the total energy supply.This energy resource plays a vital role in meeting the energy needs of the world,especially in Vie...In developing countries,solar energy is the largest source of energy,accounting for 35%–45%of the total energy supply.This energy resource plays a vital role in meeting the energy needs of the world,especially in Vietnam.Vietnam has favorable natural conditions for this energy production.Because it is hot and humid,and it has much rainfall and fertile soil,biomass develops very quickly.Therefore,byproducts from agriculture and forestry are abundant and continuously increasing.However,byproducts that are considered natural waste have become the cause of environmental pollution;these include burning forests,straw,and sawdust in the North;and rice husks dumped into rivers and canals in the Mekong Delta region.Biomass energy is provided in a short cycle,is environmentally safe to use and is encouraged by organizations that support sustainable development.Taking advantage of this energy source provides energy for economic development and ensures environmental protection.Due to the abovementioned favorable conditions,many biomass energy plants are being built in Vietnam.Like other renewable energy investment projects,the selection of the construction contractor,the selection of equipment for the installation of the power plant,and the choice of construction site are complex multi-criteria decisions.In this case,decisionmakers must evaluate many qualitative and quantitative factors.These factors interact with each other and it is difficult to use personal experience to choose the optimal solution for such complex decision-making problems,especially in a fuzzy decision-making environment.Therefore,in this study,the authors use a Multi-Criteria Decision-Making(MCDM)model that uses a Fuzzy Analytic Hierarchy Process(FAHP)model and the Combined Compromise Solution(CoCoSo)algorithm to select biomass furnace suppliers utilizing both qualitative and quantitative factors.Furthermore,the results of this work will provide the first look at a hybrid CoCoSo/FAHP method that decision-makers in other fields can use to find the best supplier.展开更多
供应商参与新产品开发(Supplier Involvement in New Product Development,SINPD)因具有缩短产品开发周期、降低开发成本等优势而被广泛研究与实践,在参与过程中,选择合适的供应商尤为关键。从新能源汽车这一个性产品特点出发,就其SINP...供应商参与新产品开发(Supplier Involvement in New Product Development,SINPD)因具有缩短产品开发周期、降低开发成本等优势而被广泛研究与实践,在参与过程中,选择合适的供应商尤为关键。从新能源汽车这一个性产品特点出发,就其SINPD的供应商选择关键影响因素进行分析,探索性提出了4个新能源汽车制造企业SINPD的供应商选择影响因素,分别是供应商的自主创新能力、成本控制能力、后向整合与服务能力、信息集成能力,并构建了影响因素模型。这为我国新能源汽车企业的新产品开发与供应商选择管理提供了参考。展开更多
文摘In developing countries,solar energy is the largest source of energy,accounting for 35%–45%of the total energy supply.This energy resource plays a vital role in meeting the energy needs of the world,especially in Vietnam.Vietnam has favorable natural conditions for this energy production.Because it is hot and humid,and it has much rainfall and fertile soil,biomass develops very quickly.Therefore,byproducts from agriculture and forestry are abundant and continuously increasing.However,byproducts that are considered natural waste have become the cause of environmental pollution;these include burning forests,straw,and sawdust in the North;and rice husks dumped into rivers and canals in the Mekong Delta region.Biomass energy is provided in a short cycle,is environmentally safe to use and is encouraged by organizations that support sustainable development.Taking advantage of this energy source provides energy for economic development and ensures environmental protection.Due to the abovementioned favorable conditions,many biomass energy plants are being built in Vietnam.Like other renewable energy investment projects,the selection of the construction contractor,the selection of equipment for the installation of the power plant,and the choice of construction site are complex multi-criteria decisions.In this case,decisionmakers must evaluate many qualitative and quantitative factors.These factors interact with each other and it is difficult to use personal experience to choose the optimal solution for such complex decision-making problems,especially in a fuzzy decision-making environment.Therefore,in this study,the authors use a Multi-Criteria Decision-Making(MCDM)model that uses a Fuzzy Analytic Hierarchy Process(FAHP)model and the Combined Compromise Solution(CoCoSo)algorithm to select biomass furnace suppliers utilizing both qualitative and quantitative factors.Furthermore,the results of this work will provide the first look at a hybrid CoCoSo/FAHP method that decision-makers in other fields can use to find the best supplier.
文摘供应商参与新产品开发(Supplier Involvement in New Product Development,SINPD)因具有缩短产品开发周期、降低开发成本等优势而被广泛研究与实践,在参与过程中,选择合适的供应商尤为关键。从新能源汽车这一个性产品特点出发,就其SINPD的供应商选择关键影响因素进行分析,探索性提出了4个新能源汽车制造企业SINPD的供应商选择影响因素,分别是供应商的自主创新能力、成本控制能力、后向整合与服务能力、信息集成能力,并构建了影响因素模型。这为我国新能源汽车企业的新产品开发与供应商选择管理提供了参考。
