Scrutinizing IoT applicability in green warehouse inventory management system based on Mamdani fuzzy inference system: a case study of an automotive semiconductors industrial firm

IF 4 Q2 ENGINEERING, INDUSTRIAL Journal of Industrial and Production Engineering Pub Date : 2022-11-11 DOI:10.1080/21681015.2022.2142303

Asmae El Jaouhari, EL Mehdi El Bhilat, Jabir Arif

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引用次数: 8

Abstract

ABSTRACT 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. Graphical Abstract

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基于Mamdani模糊推理系统的物联网在绿色仓库库存管理系统中的适用性研究——以某汽车半导体工业公司为例

摘要在过去的三十年中，可持续性已经变得越来越重要，它是建立弹性仓库库存系统的关键促进者。不确定性影响评价绿色仓库库存管理绩效的定性标准。据研究人员称，物联网等技术创新可用于帮助仓库库存操作实现长期可持续性。本文提出了一种基于物联网的模糊集理论模型，用于处理人类判断中的语言不准确性和不确定性。这也是第一个使用Mamdani模糊推理系统来评估公司绿色仓库库存管理绩效的绿色指标。基于案例公司的数据，该模型揭示了绿色交付维度对企业绩效的影响最大。许多去模糊化方法已经被用来证明所提出的FIS模型的弹性。图形抽象

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来源期刊

Journal of Industrial and Production Engineering ENGINEERING, INDUSTRIAL-

CiteScore

7.50

自引率

6.70%

发文量