A fuzzy logic based assessment algorithm for developing a warehouse assessment scheme

Alalawin, Abdallah; AlAlaween, Wafa’ H.; Salem, M. Abu; Mahfouf, Mahdi; Albashabsheh, Nibal T.; He, Changjiang

doi:10.1016/j.cie.2022.108088

Cited by 5 publications

(2 citation statements)

References 33 publications

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“…Wu et al [11] established the evaluation model of grey fuzzy correlation analysis theory to evaluate the safety grade of highway construction. AlAlawin et al [12] proposed a comprehensive evaluation algorithm that combines grey relational analysis, fuzzy comprehensive evaluation, data envelopment analysis, and an interval-two fuzzy logic system to evaluate warehouses. Minguito et al [13] used the method of grey relational analysis to verify that the failure mode and impact analysis methods would determine the priority issues related to the risks to the humanitarian supply chain.…”

Section: Risk Assessment Methodsmentioning

confidence: 99%

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Risk Assessment and Countermeasures of Logistics Terminal Distribution under Public Health Emergencies

Bi,

Zheng,

2024

Systems

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In recent years, the frequent occurrence of public health emergencies has affected people’s daily lives. In response, this paper evaluates the risk of logistics terminal distribution and puts forward the corresponding countermeasures. Firstly, this paper summarizes relevant literature and analyzes the characteristics of public health emergencies and logistics terminal distribution. This paper constructs the risk index system of logistics terminal distribution under public health emergencies for the first time. Secondly, this paper conducts a questionnaire survey on a domestic e-commerce enterprise. In this paper, the intuitionistic fuzzy entropy weight method is applied to the obtained data to determine the weight of risk index. Finally, this paper adopts the grey fuzzy comprehensive evaluation method to evaluate the risk index of logistics terminal distribution under public health emergencies. This paper takes the impact of public health emergencies into account for the risk of logistics terminal distribution for the first time. Some suggestions are provided for preventing the logistics terminal distribution from stagnation and paralysis when public health emergencies occur. This paper supplements the existing research in this field.

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Section: Risk Assessment Methodsmentioning

confidence: 99%

“…At present, there are many studies on the risk assessment at home and abroad [5][6][7][8][9][10][11][12][13][14][15]. However, there is no study on the risk assessment of logistics terminal distribution based on public health emergencies.…”

Section: Introductionmentioning

confidence: 99%