A fuzzy DEMATEL-ANP-VIKOR analytical model for maintenance strategy selection of safety critical assets

Arjomandi, Mohammad A; Dinmohammadi, Fateme; Mosallanezhad, Behzad; Shafiee, Mahmood

doi:10.1177/1687814021994965

Cited by 26 publications

(7 citation statements)

References 46 publications

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“…D + R is defined as the centrality of the indicator, which is used to represent the importance of the indicator in the whole system. D − R is defined as the causal degree of the indicator, which is used to judge the role of the indicator in the whole system [24]. If D − R > 0, it means that the degree of influence of the index is greater than the degree of influence.…”

Section: Weighting Step Using Dematel-anpmentioning

confidence: 99%

The Effectiveness Evaluation Model of the Conversion of New and Old Kinetic Energy in the Cloud Computing Environment

Liu

Zhengchao

Jing

et al. 2022

Mobile Information Systems

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This study constructs an index system for the conversion of new and old kinetic energy (NOKE) from three dimensions of electricity, economy, and energy efficiency in the cloud computing environment. First, an annual evaluation model is constructed based on the conversion of NOKE. Second, an evaluation model based on decision-making trial and evaluation laboratory (DEMATEL)-analytic network process (ANP) and improved grey relational method is established. Finally, the annual evaluation is carried out through examples. The results show that the conversion effect of NOKE in Liaoning Province is 0.7956 in 2019, 0.803 in 2020, and 0.9448 in 2021. The evaluation value increases year by year, indicating that the conversion effect of NOKE in Liaoning Province is becoming more and more significant. A series of NOKE conversion measures have achieved positive results. This study provides the theoretical basis and practical guidance for China to promote the transformation of NOKE.

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Section: Weighting Step Using Dematel-anpmentioning

confidence: 99%

The Effectiveness Evaluation Model of the Conversion of New and Old Kinetic Energy in the Cloud Computing Environment

Liu

Zhengchao

Jing

et al. 2022

Mobile Information Systems

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“…A hybrid MCDM structure is proposed in this section to prioritize the algorithm based on the result of evaluation indicators in a general manner. Typically, the hybrid MCDM architecture constitutes two or more techniques to first find the significance weights of decision-making criteria and then prioritize the alternatives ( Arjomandi et al, 2021 ). The hybrid structure encompasses two MCDM methods: Entropy Weights Method (EWM), a popular MCDM tool to determine the weights of criteria or indicators in our case, as well as Combined Compromise Solution (CoCoSo) to rank the alternatives or metaheuristic algorithms in this study.…”

Section: Computational Outputsmentioning

confidence: 99%

The IoT-enabled sustainable reverse supply chain for COVID-19 Pandemic Wastes (CPW)

Mosallanezhad

Gholian-Jouybari

Cárdenas–Barrón

et al. 2023

Engineering Applications of Artificial Intelligence

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“…The DEMATEL approach takes into account interdependence between the factors and also evaluates the degree of interdependence, unlike the AHP) process, which considers variables that are independent of each other (Wu and Lee, 2007). A latest application of DEMATEL for MSS for oil refinery case study can be referred in Arjomandi et al (2021).…”

Section: Maintenance Strategy Selection: Solution Approaches and Indu...mentioning

confidence: 99%

Maintenance strategy selection: a comprehensive review of current paradigms and solution approaches

Patil

Soni

Prakash

et al. 2021

IJQRM

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PurposeIn today's competitive industries, the selection of best suitable maintenance strategy is dependent on large number of quantitative and qualitative factors, and it becomes an extensively difficult problem for maintenance engineers. Over the years, a diverse range of solution methodologies have been developed for solving this multi-criteria decision-making (MCDM) problem. In this paper, the authors have presented a comprehensive review of latest maintenance strategy paradigms and solution approaches proposed for the selection of an appropriate strategy in various industries. It would provide a systematic mapping of developments in this field and identify some research gaps to explore further studies.Design/methodology/approachA systematic state-of-the-art comprehensive literature review on maintenance strategy paradigms and selection approaches is presented in this study. In this study, 87 research articles published in peer-reviewed journals, since year 2012, are reviewed.FindingsFor the selection of a suitable maintenance strategy, a variety of criteria are considered to better evaluate the alternatives. In this study, contemporary strategies are discussed, and their applications in different industries are also depicted. Moreover, through the analysis of extant literature, critical criteria are selected and classified in six major categories (namely, economic, technical, safety, environmental, feasibility and social) and further sub-categorized in quantitative and qualitative classes. These clusters of criteria can be helpful as an initial set of criteria for survey and then case- or industry-specific criteria can be shortlisted for further alternative evaluation.Practical implicationsFrom the perspective of maintenance managers, maintenance management can be a very difficult task, considering the numerous factors affecting the decision-making process. In order to help in the decision-making process, this study presents the contemporary maintenance strategies in a systematic manner. In a previous study (Kothamasu et al., 2006), these strategies were classified into repair and prevent classes only. With the developments of autonomous maintenance and design out maintenance (DOM), it was fair to include continuous improvement class. It will help managers and practitioners to identify, according to organization policy, appropriate maintenance strategy alternatives for the asset. A benchmark set of state-of-the-art maintenance strategies are laid out with their applications. The industrial case studies discussed in this study summarizes the optimal maintenance strategies for respective industries. Also, most critical criteria are identified from the existing studies for various industries that can help maintenance practitioners in acknowledging the critical factors and making appropriate decisions. Evaluation parameters for the maintenance strategy selection (MSS) generally conflict with each other, and considering the difficulty of quantifying the qualitative measures, it is a challenging task to determine the optimal trade-off. In order to overcome these challenges, popular MCDM approaches, demonstrating effective results across different industries are discussed with their limitations and applications. Decision-makers can refer this study to identify best suitable decision-making technique for the MSS problem in the industry of their choice. Maintenance managers and engineers can refer the case studies illustrated in Tables 1 and 2 to analyse the MSS techniques proposed by previous studies with industry-specific applications.Social implicationsThis study is an attempt to provide a reference point for research scholars interested in the field of maintenance management and/or development of maintenance strategy framework. This study provides a critical state-of-the-art review of efforts made in the field of MSS. The prominent maintenance strategies being implemented in contemporary industries are discussed with respective case studies. Interested researchers and academicians can familiarize themselves with these strategies and their distinct features in this study. In order to guide future studies and provide a reference point for academicians, MSS critical criteria used in extant literature are identified and classified into a comprehensive benchmark framework. Moreover, the industrial case studies are discussed with the most critical criteria of MSS for different industries and which strategy is most suitable for the respective industries based on these criteria. Table 1 presents different MCDM techniques and their hybrid applications for solving MSS problem that can help researchers in identifying research gaps. Future research can be directed at addressing the limitation of MCDM approach employed in existing studies and comparing the differences in results obtained by the proposed approach. Different industrial case studies with considered maintenance strategy alternatives are presented in Table 2, which can help researchers in identifying the industries that have not been studied yet. Moreover, not all of the existing studies are carried out by considering all the presented benchmark strategies, which can be addressed in future studies by interested researchers. More detailed discussion on research gaps is presented in the following section.Originality/valueFrom the analysis of the extant literature, the authors could observe that the decision-making process adopted in numerous studies was limited to the classical maintenance strategies and not inclusive of aggressive maintenance strategy alternatives. To overcome these limitations and help maintenance managers in the decision-making, this study depicts the contemporary maintenance strategies, critical evaluation criteria and MCDM frameworks (employed to solve the MSS problem with industrial case studies) in a structured manner.

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A fuzzy DEMATEL-ANP-VIKOR analytical model for maintenance strategy selection of safety critical assets

Cited by 26 publications

References 46 publications

The Effectiveness Evaluation Model of the Conversion of New and Old Kinetic Energy in the Cloud Computing Environment

The Effectiveness Evaluation Model of the Conversion of New and Old Kinetic Energy in the Cloud Computing Environment

The IoT-enabled sustainable reverse supply chain for COVID-19 Pandemic Wastes (CPW)

Maintenance strategy selection: a comprehensive review of current paradigms and solution approaches

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