article · Journal of Industrial and Production Engineering
Sustainability has become central to establishing resilient warehouse inventory systems, yet assessing green performance often involves subjective qualitative criteria subject to uncertainty. Combining Internet of Things technology with fuzzy set theory offers a method to handle human judgement and linguistic imprecision in warehouse evaluations. A newly developed model incorporates the Mamdani Fuzzy Inference System to measure green warehouse inventory management performance against defined environmental metrics. When tested using operational data gathered from an industrial case company, the model identified green delivery as the dimension with the strongest influence on overall organisational performance. Furthermore, testing the model with multiple defuzzification approaches confirmed its technical resilience across different evaluation settings.
Assessing environmental performance in logistics is challenging because human judgements and descriptive metrics are inherently imprecise. By using fuzzy logic and data from connected devices, organisations can reliably measure green warehouse practices despite subjective data. This helps operational managers pinpoint which ecological interventions, such as sustainable delivery, have the most significant effect on performance.
This decision-support model is aimed at industrial firms and supply chain managers seeking to monitor and improve green warehouse operations. Having been tested on real-world data from a case organisation, the method sits at an applied research stage. Further software development would be necessary to package the fuzzy inference framework into a commercial enterprise inventory management tool.
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Over the last three decades, sustainability has been increasingly essential and it is a crucial facilitator for building resilient warehouse inventory systems. Uncertainty influences qualitative criteria for evaluating Green Warehouse Inventory Management performance. According to researchers, technological innovations such as the Internet of Things could be used to help warehouse inventory operations achieve long-term sustainability. An Internet of things-based fuzzy set theory model is developed in this paper for dealing with language inaccuracy and uncertainty in human judgment. It is also the first to use the Mamdani Fuzzy Inference System to assess a company’s Green Warehouse Inventory Management performance in terms of green metrics. The suggested model reveals that the green delivery dimension has the greatest impact on firm performance, based on data gathered from a case company. Numerous defuzzification approaches have been used to demonstrate the resilience of the proposed FIS model.
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DOI: 10.1080/21681015.2022.2142303
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