Abstract

Performance evaluation is an essential part of assessing the sustainability of the logistics systems and the implications of Industry 4.0 technologies. This research proposes an integrated sustainability evaluation framework for logistics providers using a fuzzy-based simulation model. A sustainability balanced scorecard approach is used in a hierarchical model based on multiple Mamdani Fuzzy Inference Systems (FIS). The sustainability of Internet of Things (IoT) adoption for a logistics provider was demonstrated using a hypothetical case study. A Design of Experiment approach is applied to evaluate the validity of the model. Moreover, different defuzzification methods are used to test the robustness of the fuzzy inference systems. The proposed method can aid operational managers in assessing the contribution of IoT to the sustainability of logistics systems considering inventory, warehouse, and order fulfillment aspects.

摘要

绩效评估是评估物流系统可持续性和工业 4.0 技术影响的重要组成部分。本研究使用基于模糊的仿真模型为物流供应商提出了一个综合的可持续性评估框架。可持续性平衡计分卡方法用于基于多个 Mamdani 模糊推理系统 (FIS) 的分层模型。使用假设案例研究证明了物流提供商采用物联网 (IoT) 的可持续性。应用实验设计方法来评估模型的有效性。此外，不同的去模糊化方法被用来测试模糊推理系统的鲁棒性。