基于熵值修正G1-TOPSIS的家具制造业绿色供应链合作伙伴选择
|
摘要
在供给侧结构性改革的要求下,在资源、环境、效益的三重约束下,传统家具制造业急待加强绿色供应链构建与创新,注重绿色供应链合作伙伴选择。本研究以家具制造企业为核心,从上游合作伙伴、下游合作伙伴和逆向物流合作伙伴着手,构建家具制造业绿色供应链。并选取其上游合作伙伴选择为突破口,综合考虑企业能力、绿色环境两大方面分三层确定绿色供应链合作伙伴的评价指标体系,再利用熵值修正G1法对评价指标进行组合权重赋值,借助TOPSIS法从众多备选合作伙伴中选择出合适的绿色供应链合作伙伴,以促进家具进产业链绿色化改造,实现传统产业转型升级。
With the guidance of supply-side structural reform, and in view of the triple constraints of resources, environment and efficiency, the furniture as a typical traditional manufacturing industry is eager to strengthen the construction and innovation of GSC, and pay attention to its partner selection. In this paper, whether the GSC succeeds or fails has significant relationship with the metrics and methods of supply chain partners selection. It takes the manufacturing partner selection of the upstream partners as the breakthrough point, and comprehensively considers the enterprise capability index and the enterprise green environmental index to build the green supply chain partners evaluation index system in the three layers. By using the entropy weight modification G1 to make reasonable combination weight for the evaluation index with subjective expert opinions and the objective data fluctuation, with the help of TOPSIS to choose the proper green supply chain partner among a number of alternative enterprises. So as to promote the green transformation of the furniture industrial supply chain, achieve the transformation and upgrading of traditional industries, provide new ideas to furniture manufacturing GSC.
With the guidance of supply-side structural reform, and in view of the triple constraints of resources, environment and efficiency, the furniture as a typical traditional manufacturing industry is eager to strengthen the construction and innovation of GSC, and pay attention to its partner selection. In this paper, whether the GSC succeeds or fails has significant relationship with the metrics and methods of supply chain partners selection. It takes the manufacturing partner selection of the upstream partners as the breakthrough point, and comprehensively considers the enterprise capability index and the enterprise green environmental index to build the green supply chain partners evaluation index system in the three layers. By using the entropy weight modification G1 to make reasonable combination weight for the evaluation index with subjective expert opinions and the objective data fluctuation, with the help of TOPSIS to choose the proper green supply chain partner among a number of alternative enterprises. So as to promote the green transformation of the furniture industrial supply chain, achieve the transformation and upgrading of traditional industries, provide new ideas to furniture manufacturing GSC.
引文
[1]周国梅,石峰,范纹嘉.构建绿色供应链产业体系,促进供给侧改革[J].环境经济,2016(6):48-54.
[2]M.H. NAGEL. Environmental supply chain management versus green procurement in the scope of business and leadership perspective[C]. Electronics and the Environment, 2000(3):219-224.
[3]Pietrode Giovanni, Vincenzo Vinzi. Covariance versus componentbased estimations of performance in green management[J].International Journal of Production Economics, 2012, 2(135):907-916.
[4]刘莹,王田.绿色供应链管理:发展进程、国外经验和借鉴启示[J].生态经济,2016,32(6):138-204.
[5]贾扬蕾,鲁美娟,阙师鹏.循环共生经济下制造业绿色供应链模式构建[J].企业经济,2014(11):51-55.
[6]Sundarakani Balan, Souza Robert de, Goh Mark. Modeling CarbonFootprints AcrosstheSupplyChain[J].International Journal of Production Economics,2010(128):43-48.
[7]熊中楷,耿丽娟,聂佳佳.基于FCM的逆物流供应商评估建模和算法[J].管理工程学报,2011,25(1):31-38.
[8]丁志刚,徐琪.供应链实施低碳技术的博弈与激励机制研究[J].北京理工大学学报(社会科学版),2014,8(16):13-16.
[9]尹政平.开放经济背景下低碳供应商的选择[J].中国流通经济,2014,28(4):56-59.
[10]罗新星,彭素华.绿色供应链中基于AHP和TOPSIS的供应商评价与选择研究[J].软科学,2011,25(2):53-56.
[11]陆秋琴,赵俏.基于熵权的TOPSIS供应链合作伙伴选择方法[J].物流技术,2014,33(13):330-332+354.
[12]刘秋生,王秀竹,侯云章.基于熵值的第三方逆向物流供应商评价研究[J].科技管理研究,2013,33(10):179-182+192.
[13]唐毅,张彬乐,王忠伟.基于三角模糊数犹豫直觉模糊集的林产品供应链信息共享程度评价[J].中南林业科技大学学报,2017, 37(12):180-188.
[14]李元爱.SD五金家具公司供应链环境下的供应商质量管理研究[J].物流技术,2015,34(6):215-218.
[2]M.H. NAGEL. Environmental supply chain management versus green procurement in the scope of business and leadership perspective[C]. Electronics and the Environment, 2000(3):219-224.
[3]Pietrode Giovanni, Vincenzo Vinzi. Covariance versus componentbased estimations of performance in green management[J].International Journal of Production Economics, 2012, 2(135):907-916.
[4]刘莹,王田.绿色供应链管理:发展进程、国外经验和借鉴启示[J].生态经济,2016,32(6):138-204.
[5]贾扬蕾,鲁美娟,阙师鹏.循环共生经济下制造业绿色供应链模式构建[J].企业经济,2014(11):51-55.
[6]Sundarakani Balan, Souza Robert de, Goh Mark. Modeling CarbonFootprints AcrosstheSupplyChain[J].International Journal of Production Economics,2010(128):43-48.
[7]熊中楷,耿丽娟,聂佳佳.基于FCM的逆物流供应商评估建模和算法[J].管理工程学报,2011,25(1):31-38.
[8]丁志刚,徐琪.供应链实施低碳技术的博弈与激励机制研究[J].北京理工大学学报(社会科学版),2014,8(16):13-16.
[9]尹政平.开放经济背景下低碳供应商的选择[J].中国流通经济,2014,28(4):56-59.
[10]罗新星,彭素华.绿色供应链中基于AHP和TOPSIS的供应商评价与选择研究[J].软科学,2011,25(2):53-56.
[11]陆秋琴,赵俏.基于熵权的TOPSIS供应链合作伙伴选择方法[J].物流技术,2014,33(13):330-332+354.
[12]刘秋生,王秀竹,侯云章.基于熵值的第三方逆向物流供应商评价研究[J].科技管理研究,2013,33(10):179-182+192.
[13]唐毅,张彬乐,王忠伟.基于三角模糊数犹豫直觉模糊集的林产品供应链信息共享程度评价[J].中南林业科技大学学报,2017, 37(12):180-188.
[14]李元爱.SD五金家具公司供应链环境下的供应商质量管理研究[J].物流技术,2015,34(6):215-218.