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作 者:张圣泉 赵腾坤 ZHANG Shengquan;ZHAO Tengkun(School of Management,Hebei GEO University,Shijiazhuang 050000,China)
机构地区:[1]河北地质大学管理学院,河北石家庄050000
出 处:《物流科技》2024年第22期126-130,共5页Logistics Sci Tech
摘 要:供应链环境下,传统物流模式下的碳排放问题日益凸显,影响了企业的社会形象,也对环境造成了长远的危害。因此,有效评价和提升低碳物流绩效便成为了该行业迫切需要解决的问题。但由于其涉及因素众多且性质模糊,致使相关评价和决策过程充满挑战。因此,文章将基于模糊综合评价法,对供应链环境下低碳物流的多维度绩效指标进行综合评价,以期为企业和政策制定者提供决策支持,促进物流行业的绿色转型和可持续发展。In the supply chain environment,the carbon emission problem of the traditional logistics mode is increasingly prominent,which affects the social images of enterprises,and has a long-term harm to the environment.Therefore,the effective evaluation and the improvement of low-carbon logistics performance have become urgent problems to be solved in the industry.However,due to the numerous factors involved and the ambiguous nature,the relevant evaluation and decision-making process is full of challenges.Therefore,this paper will use the fuzzy comprehensive evaluation method to conduct a comprehensive evaluation of the multi-dimensional performance indicators for lowcarbon logistics in the supply chain environment,in order to provide decision-making support for enterprises and policy makers,and promote the green transformation and sustainable development of the logistics industry.
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