Purpose

Food manufacturing supply chain systems are the most relevant wheels of the world economy since they provide essential products supporting daily life. Nevertheless, various supply inefficiencies have been reported to compromise food safety in different regions. Sustainable supplier management and digitalization practices have become cornerstone activities in addressing these shortcomings. Therefore, this paper proposes an integrated method for sustainability management in digital manufacturing supply chain systems (DMSCS) from the food industry.

Design/methodology/approach

The Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) was used to weigh the criteria and subcriteria under uncertainty. Second, the Intuitionistic Fuzzy Decision-Making Trial and Evaluation Laboratory (IF-DEMATEL) was applied to determine the main DMSCS sustainability drivers whilst incorporating the expert's hesitancy. Finally, the Combined Compromise Solution (CoCoSo) was implemented to pinpoint the weaknesses hindering DMSCS sustainability. A case study from the pork supply chain was presented to validate this method.

Findings

The most important criterion for DMSCS sustainability management is “location” while “manufacturing capacity” is the most significant dispatcher.

Originality/value

This paper presents a novel approach integrating IF-AHP, IF-DEMATEL, and CoCoSo methods for sustainability management of DMSCS pillaring the food industry.

中文翻译：

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一种集成 IF-AHP、IF-DEMATEL 和 CoCoSo 方法的新方法，用于食品数字制造供应链系统中的可持续管理

目的

食品制造供应链系统是世界经济最相关的车轮，因为它们提供支持日常生活的必需产品。然而，据报道，各种供应效率低下的情况损害了不同地区的食品安全。可持续供应商管理和数字化实践已成为解决这些缺点的基石活动。因此，本文提出了一种食品行业数字制造供应链系统（DMSCS）可持续管理的集成方法。

设计/方法论/途径

直觉模糊层次分析法（IF-AHP）用于权衡不确定性下的标准和子标准。其次，应用直觉模糊决策试验和评估实验室（IF-DEMATEL）来确定主要的 DMSCS 可持续发展驱动因素，同时纳入专家的犹豫。最后，实施了组合妥协解决方案 (CoCoSo)，以查明阻碍 DMSCS 可持续性的弱点。通过猪肉供应链的案例研究来验证该方法。

发现

DMSCS可持续管理最重要的标准是“位置”，而“制造能力”则是最重要的调度因素。

原创性/价值

本文提出了一种集成 IF-AHP、IF-DEMATEL 和 CoCoSo 方法的新颖方法，用于支持食品行业的 DMSCS 可持续管理。