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 10 publications

(4 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%

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

Bi,

Zheng,

2024

Systems

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“…This can be attributed to their potential advantages that make companies profitable as well as successful. In addition, they allow them to gain leverage in today's highly competitive environment [29,30]. Ascertaining such features systematically may not be as simple as it appears at the first glance, in particular, for those industries whose (i) processes are highly dimensional, and (ii) products affect customer health and well-being.…”

Section: The Right-first-time Frameworkmentioning

confidence: 99%

“…Such models, as the name indicates, and their predictive performances rely on the data utilized to develop them. To elucidate, the data used to develop data-driven models need to be representative in terms of, for example, their distribution and amount otherwise biased and inefficient models may result from unrepresentative data [29]. Acquiring such data is considered to be one of the challenging tasks in developing these models in particular, for the FDM process.…”

Section: Radial Based Integrated Networkmentioning

confidence: 99%

Fuzzy particle swarm for the right-first-time of fused deposition

AlAlaween,

AlAlawin,

AbuHamour

et al. 2023

IFS

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Right-first-time production enables manufacturing companies to be profitable as well as competitive. Ascertaining such a concept is not as straightforward as it may seem in many industries, including 3D printing. Therefore, in this research paper, a right-first-time framework based on the integration of fuzzy logic and multi-objective swarm optimization is proposed to reverse-engineer the radial based integrated network. Such a framework was elicited to represent the fused deposition modelling (FDM) process. Such a framework aims to identify the optimal FDM parameters that should be used to produce a 3D printed specimen with the desired mechanical characteristics right from the first time. The proposed right-first-time framework can determine the optimal set of the FDM parameters that should be used to 3D print parts with the required characteristics. It has been proven that the right-first-time model developed in this paper has the ability to identify the optimal set of parameters successfully with an average error percentage of 4.7%. Such a framework is validated in a real medical case by producing three different medical implants with the desired mechanical characteristics for a 21-year-old patient.

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Low-carbon warehousing practices and challenges: insights from emerging country

Ibrahim

Fernando

Tseng

et al. 2022

International Journal of Logistics Research and Applications

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This study aims to identify the issues, challenges, practices, and research agenda of low-carbon warehousing that the manufacturing industry faces in the low-carbon era. The debate on managing low-carbon and sustainable warehousing has gained popularity. Managing energy consumption and carbon emission in the warehouse has become a critical success factor towards low-carbon practices. Semi-structured, in-person interviews and phone conversations were used to gather the information for this study. The convenience sampling technique was used. The results showed that the internal challenges, such as financial constraint, perceived knowledge in low-carbon warehouses, and the top management support were the frequently highlighted domains. The findings revealed that organisational support, international standards certification, local authorities, and customer pressure were key success factors in implementing low-carbon warehouse practices. The companies have taken proactive measures to address the best practice of low-carbon warehouses.

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

Cited by 10 publications

References 33 publications

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

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

Fuzzy particle swarm for the right-first-time of fused deposition

Low-carbon warehousing practices and challenges: insights from emerging country

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