Multi-criteria decision making to explore the relationship between supply chain mapping and performance

Md Ainul Kabir , Sharfuddin Ahmed Khan , Angappa Gunasekaran , Muhammad Shujaat Mubarik
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Abstract

In today’s highly dynamic and volatile business environment, the performance of a supply chain significantly depends on its structure, technological capabilities, and the adaptability of its constituent stages. Supply chain mapping, an approach to represent complex supply chain networks, is crucial for enhancing supply chain performance by identifying critical linkages, flows, and relationships. Despite its strategic importance, the specific impacts of supply chain mapping attributes on various performance indicators remain underexplored. Addressing this research gap, this study investigates the relationships between key supply chain mapping attributes (e.g., information flow, lead-time, mode of transportation) and supply chain performance indicators (e.g., reliability, responsiveness, agility). To achieve this, the study employs a multi-step analytical approach: first, relevant attributes are identified through a systematic literature review; second, these attributes are validated using the Delphi method involving international supply chain experts; finally, the Grey Decision-Making Trial and Evaluation Laboratory (Grey-DEMATEL) technique is applied to establish interrelationships among the attributes. Findings reveal that information flow is the most influential supply chain mapping attribute, significantly impacting multiple performance indicators, especially supply chain responsiveness. The novelty of this research lies in its integrative use of Delphi and Grey-DEMATEL methods, providing practitioners with actionable insights into effectively leveraging supply chain mapping to achieve strategic performance improvements.
多准则决策,探讨供应链映射与绩效之间的关系
在当今高度动态和多变的商业环境中,供应链的绩效在很大程度上取决于其结构、技术能力和组成阶段的适应性。供应链映射是一种表示复杂供应链网络的方法,通过识别关键的联系、流程和关系,对提高供应链绩效至关重要。尽管具有战略重要性,但供应链映射属性对各种绩效指标的具体影响仍未得到充分探讨。为了解决这一研究缺口,本研究调查了关键供应链映射属性(如信息流、交货时间、运输方式)与供应链绩效指标(如可靠性、响应性、敏捷性)之间的关系。为此,本研究采用了多步骤分析方法:首先,通过系统的文献综述确定相关属性;其次,采用国际供应链专家参与的德尔菲法对这些属性进行验证;最后,运用灰色决策试验与评价实验室(Grey- dematel)技术建立属性间的相互关系。研究发现,信息流是供应链映射属性中最具影响力的属性,显著影响供应链的多个绩效指标,尤其是供应链响应能力。本研究的新颖之处在于其综合使用德尔菲和灰色- dematel方法,为从业者提供可操作的见解,有效地利用供应链映射实现战略绩效改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
3.90
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