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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.
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No potential conflict of interest was reported by the author.
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Samira Keivanpour
Samira Keivanpour earned her bachelor’s degree in electrical engineering and MBA in operation management from Iran. She received her PhD in industrial engineering from Laval University. Samira was a postdoctoral fellow and professional researcher in the Department of Mechanical Engineering of Laval University during 2015-2017. She was a faculty member at Thompson Rivers University before joining Polytechnique Montréal. Her research interests include sustainable solutions in supply chain and logistics, end-of-life products treatment, digital supply chain, and industry 4.0.