An integrated multi-criteria decision-making approach for sustainable supply chain performance evaluation from a manufacturing perspective

Imadeddine Oubrahim, Naoufal Sefiani
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The third and final stage examined the causal relationship between the identified criteria, utilizing the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>Based on BWM analysis results, the top three criteria in terms of prominence are: (1) return on investment (ROI), (2) product quality, and (3) manufacturing lead time. Out of the three alternatives, financial performance (FP) is the most crucial dimension for SSCP, followed by environmental performance (ENP) and social performance (SP). 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Abstract

Purpose

Over the last 2 decades, supply chain sustainability research has become a highly dynamic and fruitful study area. This field has garnered significant attention due to its potential to reshape decision-making processes within supply chains. At the same time, the practical side of supply chain operations remains intensely competitive in today’s business landscape. Furthermore, the current academic research aims to outline effective strategies for achieving sustainability across supply chains, particularly in the manufacturing sector. In response to these challenges, this research has conducted an integrated multi-criteria decision-making approach to evaluate sustainable supply chain performance from the triple bottom line perspective, including financial, environmental, and social performance.

Design/methodology/approach

The initial stage involves selecting the crucial criteria (short-term and long-term) and alternatives for sustainable supply chain performance (SSCP) from experts and conducting an in-depth literature review. Initially, there were 17 criteria, but after a pilot test with co-authors and online discussions with experts, the number of criteria was subsequently reduced to 9. In the second phase, the Best-Worst Method (BWM) was applied to rank and prioritize the criteria. The third and final stage examined the causal relationship between the identified criteria, utilizing the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique.

Findings

Based on BWM analysis results, the top three criteria in terms of prominence are: (1) return on investment (ROI), (2) product quality, and (3) manufacturing lead time. Out of the three alternatives, financial performance (FP) is the most crucial dimension for SSCP, followed by environmental performance (ENP) and social performance (SP). On the other hand, the DEMATEL approach showed that work health and safety (short-term criterion), asset utilization (long-term criterion), energy consumption (long-term criterion), waste disposal (long-term criterion), manufacturing lead time (short-term criterion), and on-time delivery (short-term criterion) are categorized within the cause group, while criteria such as return on investment (ROI) (long-term criterion), customer-service level (short-term criterion), and product quality (long-term criterion) fall into the effect group.

Research limitations/implications

The proposed study has certain drawbacks that pave the way for future research directions. First, it is worth noting the need for a larger sample size to ensure the reliability of results, the potential inclusion of additional criteria to enhance the assessment of sustainability performance, and the consideration of a qualitative approach to gain deeper insights into the outcomes. In addition, fuzziness in qualitative subjective perception could be imperative when collecting data to ensure its reliability, as translating experts’ perceptions into exact numerical values can be challenging because human perceptions often carry elements of uncertainty or vagueness. Therefore, fuzzy integrated MCDM frameworks are better suited for future research to handle the uncertainties involved in human perceptions, making it a more appropriate approach for decision-making in scenarios where traditional MCDM methods may prove insufficient.

Practical implications

The proposed framework will enable decision-makers to gain deeper insights into how various decision criteria impact SSCP, thus providing a comprehensive evaluation of SSCP that considers multiple dimensions, such as financial, environmental, and social performance within the manufacturing sector.

Originality/value

The proposed study is the first empirical study to integrate both BWM and DEMATEL approaches to evaluate sustainable supply chain performance in the manufacturing context.

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从制造业角度评估可持续供应链绩效的多标准综合决策方法
目的在过去的二十年里,供应链可持续性研究已成为一个极富活力、成果丰硕的研究领域。这一领域因其重塑供应链决策过程的潜力而备受关注。与此同时,在当今的商业环境中,供应链运营的实际操作方面仍然竞争激烈。此外,当前的学术研究旨在概述实现供应链可持续发展的有效战略,尤其是在制造业。为应对这些挑战,本研究采用综合多标准决策方法,从财务、环境和社会绩效等三重底线角度评估可持续供应链绩效。最初有 17 项标准,但经过与共同作者的试点测试以及与专家的在线讨论,标准数量随后减少到 9 项。在第二阶段,采用了最佳-最差法(BWM)对标准进行排序和优先排序。第三阶段,也是最后一个阶段,利用决策制定试验和评估实验室(DEMATEL)技术,研究了已确定标准之间的因果关系:(1) 投资回报率 (ROI),(2) 产品质量,(3) 生产周期。在这三个备选标准中,财务绩效(FP)是 SSCP 最关键的维度,其次是环境绩效(ENP)和社会绩效(SP)。另一方面,DEMATEL 方法显示,工作健康与安全(短期标准)、资产利用率(长期标准)、能源消耗(长期标准)、废物处理(长期标准)、制造周期(短期标准)和准时交货(短期标准)属于原因组,而投资回报率(长期标准)、客户服务水平(短期标准)和产品质量(长期标准)等标准属于影响组。首先,值得注意的是,需要更大的样本量以确保结果的可靠性,可能需要纳入更多标准以加强对可持续发展绩效的评估,以及考虑采用定性方法来深入了解结果。此外,在收集数据以确保其可靠性时,定性主观感知的模糊性可能是必要的,因为将专家的感知转化为精确的数值可能具有挑战性,因为人类的感知往往带有不确定性或模糊性因素。因此,未来的研究更适合采用模糊集成式 MCDM 框架来处理人类感知中的不确定性,使其成为一种更适合在传统 MCDM 方法可能被证明不足的情况下进行决策的方法。实践意义所提出的框架将使决策者能够更深入地了解各种决策标准是如何影响供应链可持续发展的,从而对供应链可持续发展进行全面评估,考虑到制造业中的财务、环境和社会绩效等多个维度。
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来源期刊
CiteScore
7.90
自引率
9.70%
发文量
87
期刊介绍: ■Organisational design and methods ■Performance management ■Performance measurement tools and techniques ■Process analysis, engineering and re-engineering ■Quality and business excellence management Articles can address these topics theoretically or empirically through either a descriptive or critical approach. The co-Editors support articles that significantly bring new knowledge to the area both for academics and practitioners. The material for publication in IJPPM should be written in a manner which makes it accessible to its entire wide-ranging readership. Submissions of highly technical or mathematically-oriented papers are discouraged.
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