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Selection of environmental-conscious sourcing:an empirical investigation

机译:选择环境意识采购:实证调查

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摘要

Purpose - The prime objective of this paper is to design a green supply chain management (GSCM) framework to evaluate the performance of environmental-conscious suppliers using multi-criteria decision-making (MCDM) approach. Design/methodology/approach - The literature survey reveals critical factors for implementing GSCM, adopted methodologies and the result obtained by several researchers. Data have been collected by conducting surveys and interviews with strategic-level personnel of five esteemed organizations in automobile manufacturing sectors. A GSCM framework is developed in which a mathematical tool entropy-the technique for order of preference by similarity to ideal solution (TOPSIS) has been used to analyze the six parameters of automobile manufacturing unit. Initially, entropy is used to find the weights of each of the parameters that influence the decision matrix of the TOPSIS method. Secondly, the proposed GSCM framework ranks the supplier. Finally, sensitivity analysis of the model satisfies the GSCM framework and benchmarked the supplier. Findings - The result shows that 'Total CO_2 emission" has an influential role for GSCM sustainability, and hence, firms should put more effort to reduce emissions to improve overall performance. Again, the parameters like investment in R&D and total waste generation may be ignored in the selection process. The result reveals the benchmarked supplier and its strategies for effective sourcing, which would have an indirect effect on organizations' overall sustainability. Research limitations/implications - This research entirely focuses on sustainability within supply chain considering economic, social and environmental paradigms. The mathematical modeling of the proposed work considers many influential parameters and provides an easy and comprehensive decision-making technique. Practical implications - The methods may be adopted by the industries for sustainable supply chain management. This study benchmarks the supplier organizations and explores the adopted policies by benchmarked organizations. Other organizations should follow the policies followed by benchmarked organization for enhancing environmental, social and economic performance. Organizations striving for sustainable development can adopt this framework for evaluation of supplier performance and benchmark with better accuracy. Originality/value - The design of the GSCM framework explores both the qualitative and quantitative data based on environmental, social and economic parameters simultaneously in the evaluation of environmentally conscious suppliers. The research also investigates the constraints of the system to implement the GSCM in automobile manufacturing unit. Additionally, the sensitivity analysis justifies the benchmarked supplier and the adopted strategies to be followed by other manufacturing unit.
机译:目的 - 本文的主要目标是设计绿色供应链管理(GSCM)框架,以利用多标准决策(MCDM)方法来评估环境有意识供应商的性能。设计/方法/方法 - 文献调查揭示了实施GSCM,采用的方法和由几个研究人员获得的结果的关键因素。通过在汽车制造业中的五个尊敬的组织的战略级人员进行调查和访谈,通过进行调查和访谈来收集数据。开发了一种GSCM框架,其中数学工具熵 - 通过与理想解决方案(TOPSIS)的相似性顺序的技术用于分析汽车制造单元的六个参数。最初,熵用于找到影响TOPSIS方法的决策矩阵的每个参数的权重。其次,拟议的GSCM框架排名在供应商。最后,模型的敏感性分析满足了GSCM框架和基准测试。结果表明,“总计CO_2排放”对GSCM可持续性具有影响力的作用,因此,企业应该更加努力减少排放以提高整体性能。再次,可以忽略投资和总废物产生等参数。在选择过程中。结果显示了基准供应商及其有效采购的策略,这对组织的整体可持续性产生了间接影响。研究限制/影响 - 本研究完全侧重于考虑经济,社会和环境的供应链内的可持续性范式。拟议工作的数学建模考虑了许多有影响力的参数,并提供了一种简单而综合的决策技术。实际意义 - 可持续供应链管理的行业可以采用这些方法。这项研究基准计算供应商组织并探索通过基准组织通过政策anizations。其他组织应遵循该政策,然后进行基准组织,以加强环境,社会和经济绩效。追求可持续发展的组织可以通过更好的准确性来通过此框架进行评估,以评估供应商绩效和基准。原创性/价值 - GSCM框架的设计在评估环境有意识供应商的评估中,探讨了基于环境,社会和经济参数的定性和定量数据。该研究还调查了系统在汽车制造单元中实现了GSCM的制约因素。此外,敏感性分析证明基准供应商和其他制造部门的采用策略标志。

著录项

  • 来源
    《Benchmarking》 |2021年第6期|2130-2155|共26页
  • 作者单位

    Department of Mechanical Engineering Jalpaiguri Government Engineering College Jalpaiguri India;

    Department of Mechanical Engineering Jalpaiguri Government Engineering College Jalpaiguri India;

    Department of Mechanical Engineering Jalpaiguri Government Engineering College Jalpaiguri India;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Benchmarking; MCDM; Entropy; Performance evaluation; GSCM;

    机译:基准;MCDM;熵;绩效评估;GSCM.;

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