Group decision making model for selection of performance indicators for sustainable supplier evaluation in agro-food supply chain

IF 9.8 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL
Rashi Sharma , Devika Kannan , Jyoti Dhingra Darbari , P.C. Jha
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引用次数: 0

Abstract

Sustainable food production is of vital importance to ensure food security, enhanced stability, environmental protection, and economic development for any developing nation. In an Agro- Food Supply Chain (AFSC), joint efforts of all supply chain actors inclined towards sustainability can contribute significantly towards sustainable production. Suppliers, who are intermediaries between Food Processing Firm (FPF) and sub-suppliers or farmers, must follow the FPF's sustainability practices at their own level, and they must monitor the enactment of these activities at their sub-supplier level. In this regard, the study focuses on developing a group consensus mathematical model to derive a broader set of performance indicators to evaluate a supplier's competency in maintaining, monitoring, and tracing sustainable performance in his sub-supplier network. A two-phased group consensus model is presented; it selects performance indicators using the Delphi method and it utilizes a feedback mechanism rooted in Group Analytical Hierarchy Process. This system is based on an iterative algorithm to generate weights that all decision makers accept. The proposed model is illustrated with an analysis of an Indian flour milling company. Kendall's concordance coefficient is employed to understand the degree of agreement among decision makers before and after the application of the proposed model. Increase in its value post-application validates the efficacy of the model. This approach for performance indicator selection for sustainable supplier evaluation research is unique in the field of AFSC. Results of the study indicate that the top ranking indicator is ‘Food Safety’ followed by ‘Payment to Sub-suppliers’. Key policy implications are drawn from the result findings which can be further integrated to support sustainable growth and development of suppliers and sub-suppliers in any AFSC.
为农业食品供应链可持续供应商评估选择绩效指标的群体决策模型
可持续粮食生产对于任何发展中国家确保粮食安全、加强稳定、保护环境和经济发展都至关重要。在农产品-食品供应链(AFSC)中,所有供应链参与者共同努力,实现可持续发展,可以极大地促进可持续生产。供应商是食品加工企业(FPF)与次级供应商或农民之间的中间人,他们必须在自己的层面上遵循食品加工企业的可持续发展做法,同时还必须监督次级供应商层面上这些活动的实施情况。在这方面,本研究的重点是建立一个群体共识数学模型,以推导出一套更广泛的绩效指标,用于评估供应商在其次级供应商网络中维护、监测和跟踪可持续绩效的能力。研究提出了一个分两个阶段的群体共识模型;该模型采用德尔菲法选择绩效指标,并利用植根于群体分析层次过程的反馈机制。该系统基于一种迭代算法来生成所有决策者都能接受的权重。通过对一家印度面粉加工公司的分析,对所提出的模型进行了说明。采用肯德尔一致系数来了解决策者在应用拟议模型前后的一致程度。模型应用后,该系数的增加验证了模型的有效性。这种用于可持续供应商评价研究的绩效指标选择方法在 AFSC 领域是独一无二的。研究结果表明,排名第一的指标是 "食品安全",其次是 "对次级供应商的付款"。研究结果产生了重要的政策影响,这些影响可以进一步整合,以支持任何农产品供应链中供应商和次级供应商的可持续增长和发展。
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来源期刊
International Journal of Production Economics
International Journal of Production Economics 管理科学-工程:工业
CiteScore
21.40
自引率
7.50%
发文量
266
审稿时长
52 days
期刊介绍: The International Journal of Production Economics focuses on the interface between engineering and management. It covers all aspects of manufacturing and process industries, as well as production in general. The journal is interdisciplinary, considering activities throughout the product life cycle and material flow cycle. It aims to disseminate knowledge for improving industrial practice and strengthening the theoretical base for decision making. The journal serves as a forum for exchanging ideas and presenting new developments in theory and application, combining academic standards with practical value for industrial applications.
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