Data quantity generated in supply chains expands as supply chain processes get more complex. Companies can leverage such data and gain valuable insight into their processes with Supply Chain Analytics (SCA) tools. The selection of the most appropriate SCA tool directly affects companies’ productivity since they allow enhancing visibility, obtaining informed decision-making and developing well-planned strategies for companies. A simple, practical, efficient and robust decision-making method can help select the most suitable SCA tool. Such a selection problem can be solved with multi-criteria decision-making (MCDM) methods that consider different criteria. This paper proposes an SCA tool evaluation model which combines hesitant fuzzy linguistic term set (HFLTS), analytic hierarchy process (AHP), multi-objective optimization by ratio analysis, and the full multiplicative (MULTIMOORA). The HFLTS technique is applied for handling the uncertainty and hesitancy of experts’ views in the evaluation process. The weights of the six main selection criteria and their thirty sub-criteria are computed via the hesitant fuzzy linguistic (HFL) AHP method. Then, the HFL MULTIMOORA method is combined with the fuzzy envelope technique for the first time in the literature to rank the eight SCA tool alternatives from different companies. A case study for a logistics firm illustrates the potential of the proposed evaluation model, which underlines the most important criteria to be the statistical power, product quality improvement, organizational performance enhancement, and service cooperation. It also ranks PeopleSoft as the most appropriate SCA tool for the case company. A comparative analysis with the HFL VIKOR method demonstrated that the proposed method is robust and consistent.

随着供应链流程变得越来越复杂，供应链中产生的数据量也在增加。公司可以利用这些数据并通过供应链分析 (SCA) 工具深入了解其流程。选择最合适的 SCA 工具直接影响公司的生产力，因为它们可以提高可见性、获得明智的决策并为公司制定精心策划的战略。一种简单、实用、高效和稳健的决策方法可以帮助选择最合适的 SCA 工具。这样的选择问题可以通过考虑不同标准的多标准决策 (MCDM) 方法来解决。本文提出了一种结合犹豫模糊语言术语集（HFLTS）、层次分析法（AHP）、比率分析的多目标优化、和全乘法 (MULTIMOORA)。HFLTS 技术用于处理评估过程中专家意见的不确定性和犹豫。六个主要选择标准及其三十个子标准的权重通过犹豫模糊语言 (HFL) AHP 方法计算。然后，在文献中首次将HFL MULTIMOORA 方法与模糊包络技术相结合，对来自不同公司的8 种SCA 工具备选方案进行排名。一个物流公司的案例研究说明了所提议的评估模型的潜力，它强调了最重要的标准是统计能力、产品质量改进、组织绩效提高和服务合作。它还将 PeopleSoft 列为最适合案例公司的 SCA 工具。