混合群决策模型在绿色供应链管理能力评价中的应用
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摘要
绿色供应链管理(GSCM)是组织管理中的战略问题,也是新经济发展的关键问题和难问题。GSCM评价决策是推进GSCM战略的手段之一。运用AHP、灰关联、三角模糊等工具建立混合群决策模型(HGDMM),综合主客观思想确定决策矩阵、指标权重和专家权重;将建立的HGDMM用于抽样的中国本土汽车制造商的绿色供应链管理能力评估;最后将该法与VIKOR法作对比分析。结果表明:构建的HGDMM弱化了主观随意性和客观刚性,且易于管理者掌握应用,为绿色供应链管理能力评估提供了评价方法参考。
Green supply chain management(GSCM) is a strategic issue in organizations; it is even more critical and complex in emerging economies. GSCM decision support tools can greatly advance the strategic notion of A relatively intuitive and user-friendly hybrid group decision making model(HGDMM) that integrates tools of AHP Fuzzy and Grey can help evaluate an organization's GSCM capability. To show the utility of the tool, a small case study from the Chinese automotive industry is completed. Six Chinese automotive enterprises are used in the case illustration. Lastly, HGDMM is compared to one popular group decision-making method VIKOR. The proposed hybrid model is more practicable and feasible with less subjective unbending and objective inflexibility, which will help decision makers to assess GSCM capabilities as well as to replicate and apply it to many aspects of real-world problem.
Green supply chain management(GSCM) is a strategic issue in organizations; it is even more critical and complex in emerging economies. GSCM decision support tools can greatly advance the strategic notion of A relatively intuitive and user-friendly hybrid group decision making model(HGDMM) that integrates tools of AHP Fuzzy and Grey can help evaluate an organization's GSCM capability. To show the utility of the tool, a small case study from the Chinese automotive industry is completed. Six Chinese automotive enterprises are used in the case illustration. Lastly, HGDMM is compared to one popular group decision-making method VIKOR. The proposed hybrid model is more practicable and feasible with less subjective unbending and objective inflexibility, which will help decision makers to assess GSCM capabilities as well as to replicate and apply it to many aspects of real-world problem.
引文
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[19]袁宇,李一军,姜维,等.基于CCSD多属性评价方法的区域经济竞争力研究[J].运筹与管理,2012,21(2):249-255.
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[22]潘亚虹,耿秀丽.一种基于VIKOR的混合多属性群决策方法[J].机械设计与研究,2018,34(1):177-182.
[23]OPRICOVIC S,TZENG G H.Compromise solution by MCDMmethods:A comparative analysis of VIKOR and TOPSIS[J].European journal of operational research,2004,156(2):445-455.
[2]LUO J,CHONG A Y L,NGAI E W,et al.Reprint of green supply chain collaboration implementation in China:The mediating role of guanxi”[J].Transportation Research Part E:Logistics and Transportation Review,2015,74:37-49.
[3]NEELY A,GREGORY M,PLATTS K.Performance measurement system design:a literature review and research agenda[J].International journal of operations&production management,1995,15(4):80-116.
[4]SHEU J B,CHOU Y H,HU C C.An integrated logistics operational model for green-supply chain management[J].Transportation Research Part E:Logistics and Transportation Review,2005,41(4):287-313.
[5]Webb L.Green purchasing:forging a new link in the supply chain[J].Resource,1994,1(6):14-18.
[6]UYGUN,DEDE A.Performance evaluation of green supply chain management using integrated fuzzymulti-criteria decision making techniques[J].Computers&Industrial Engineering,2016,102:502-511.
[7]SEVKLI M,KOH S C L,ZAIM S.Hybrid analytical hierarchy process model for supplier selection[J].Industrial Management and Data Systems,2008,108:122-142.
[8]HSU C W,KUO R J,CHIOU C Y.A multi-criteria decisionmaking approach for evaluating carbon performance of suppliers in the electronics industry[J].International Journal of Environmental Science and Technology,2014,11(3):775-784.
[9]于虎,李传春.基于熵权模糊TOPSIS法的分销商评价与选择[J].经济研究导刊,2011,32(7):7-9.
[10]KUO T C,HSU C W,LI J Y.Developing a green supplier selection model by using the DANP with VIKOR[J].Sustainability,2015,7(2):1661-1689.
[11]丁斌,甘茂汝,梁樑.基于改进模糊综合评判的分销商评价研究[J].运筹与管理,2013,22(2):180-187.
[12]KANNAN D,DE SOUSA JABBOUR A B,JABBOUR C J.Selecting green suppliers based on GSCM practices:Using fuzzy TOPSIS applied to a Brazilian electronics company[J].European Journal of Operational Research,2014,233(2):432-447.
[13]LI X P,ZHAO C X.Selection of suppliers of vehicle components based on green supply chain[G].International Conference on Industrial Engineering&Engineering Management,Hong Kong,2009-12-08.
[14]REZAIE K,RAMIYANI S S,NAZARI-SHIRKOUHI S,et al.Evaluating performance of Iranian cement firms using an integrated fuzzy AHP-VIKOR method[J].Applied Mathematical Modelling,2014,38(21):5033-5046.
[15]吕剑,菅利荣.基于GM(1,1)的三角模糊数序列的预测[J].统计与决策,2008,275(23):31-33.
[16]EFTEKHARY M,SAFARI S,SHOJAEE M,et al.Identifying customers needs on electronic services of bank using fuzzy QFDapproach[J].Australia Journal of Basic Applicational Science,2012,6(8):287-296.
[17]KINOSHITA S.HENRI THEIL.Economics and information theory[J].Economic Review,1968,19(2):185-188.
[18]张识宇,徐济超,李大建.基于Theil指数的公司风险投资项目灰色评价方法[J].系统工程理论与实践,2011,31(11):2052-2059.
[19]袁宇,李一军,姜维,等.基于CCSD多属性评价方法的区域经济竞争力研究[J].运筹与管理,2012,21(2):249-255.
[20]刘思峰,党耀国,方志耕,等.灰色系统理论及其应用[M].5版.北京:科学出版社,2014.
[21]孙晓东,焦玥,胡劲松.基于灰色关联度和理想解决的决策方法研究[J].中国管理科学,2005,13(4):63-68.
[22]潘亚虹,耿秀丽.一种基于VIKOR的混合多属性群决策方法[J].机械设计与研究,2018,34(1):177-182.
[23]OPRICOVIC S,TZENG G H.Compromise solution by MCDMmethods:A comparative analysis of VIKOR and TOPSIS[J].European journal of operational research,2004,156(2):445-455.