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

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amitkumar Patil ◽  
Gunjan Soni ◽  
Anuj Prakash ◽  
Kritika Karwasra
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
State Of The Art ◽  
Decision Making Process ◽  
Maintenance Strategy ◽  
Research Gaps ◽  
Maintenance Strategies ◽  
Content Type ◽  
Extant Literature ◽  
Selection Of

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.

A novel fuzzy hybrid multi-criteria decision-making approach for evaluating maintenance strategies in petrochemical industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Asghar Aghaee ◽  
Milad Aghaee ◽  
Mohammad Reza Fathi ◽  
Shirin Shoa'bin ◽  
Seyed Mohammad Sobhani
Keyword(s):  
Decision Making ◽  
Petrochemical Industry ◽  
Multi Criteria Decision Making ◽  
Maintenance Strategy ◽  
Fuzzy Dematel ◽  
Maintenance Strategies ◽  
Content Type ◽  
Fuzzy Anp ◽  
Fuzzy Delphi ◽  
Selection Of

PurposeThe purpose of this study is to evaluate maintenance strategies based on fuzzy decision-making trial evaluation and laboratory (DEMATEL) and fuzzy analytic network process (ANP) in the petrochemical industry.Design/methodology/approachThis study proposes a hybrid-structured multi-criteria decision-making (MCDM) method based on fuzzy Delphi, fuzzy DEMATEL and fuzzy ANP as a structured methodology to assist decision makers in strategic maintenance. The fuzzy Delphi method (FDM) is applied to refine the effective criteria, fuzzy DEMATEL is applied for defining the direction and relationships between criteria and Fuzzy ANP is used for the selection of optimized maintenance strategy.FindingsThe results identify “strategic management complexity” as the top criterion. The predictive maintenance (PdM) with the highest priority is the best strategy. It is followed by reliability-centered (RCM), condition-based (CBM), total productive (TPM), predictive (PM) and corrective maintenance (CM).Originality/valueToday, companies act in an atmosphere that is known with the features of uncertainty. In this atmosphere, only those companies can survive that have a strategy based on presenting the quality services and products to their customers. Similarly, maintenance as a system plays a vital role in availability and the quality of products, which creates value for customers. The selection of maintenance strategy is a kind of MCDM problem, which includes consideration of different factors. This article considers a broad category of alternates, including CM, PM, TPM, CBM, RCM and PdM.

Maintenance strategy selection using AHP and ANP algorithms: a case study

2012 ◽  
Vol 18 (1) ◽  
pp. 16-29 ◽  
Author(s):  
Selim Zaim ◽  
Ali Turkyılmaz ◽  
Mehmet F. Acar ◽  
Umar Al‐Turki ◽  
Omer F. Demirel
Keyword(s):  
Decision Making ◽  
General Purpose ◽  
Strategy Selection ◽  
Maintenance Strategy ◽  
Maintenance Strategies ◽  
Content Type ◽  
Network Process ◽  
Practical Implications ◽  
Selection Of

PurposeThe purpose of this paper is to demonstrate the use of two general purpose decision‐making techniques in selecting the most appropriate maintenance strategy for organizations with critical production requirements.Design/methodology/approachThe Analytical Hierarchical Process (AHP) and the Analytical Network Process (ANP) are used for the selection of the most appropriate maintenance strategy in a local newspaper printing facility in Turkey.FindingsThe two methods were shown to be effective in choosing a strategy for maintaining the printing machines. The two methods resulted in almost the same results. Both methods take into account the specific requirements of the organization through its own available expertise.Practical implicationsThe techniques demonstrated in this paper can be used by all types of organizations for selecting and adopting maintenance strategies that have higher impact on maintenance performance and hence overall business productivity. The two methods are explained in a step‐by‐step approach for easier adaptation by practitioners in all types of organizations.Originality/valueThe value of the paper is in applying AHP and ANP decision‐making methodologies in maintenance strategy selection. These two methods are not very common in the area of maintenance, and hence add to the pool of techniques utilized in selecting maintenance strategies.

An enhanced algorithm for calculating the degree of greyness of interval grey numbers and its application

Kybernetes ◽  
2019 ◽  
Vol 49 (6) ◽  
pp. 1721-1740
Author(s):  
Shuaishuai Geng ◽  
Yu Feng ◽  
Yaoguo Dang ◽  
Junjie Wang ◽  
Rizwan Rasheed
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Decision Making Process ◽  
Content Type ◽  
Operational Mechanism ◽  
Operation Process ◽  
Algebraic Operations ◽  
Grey Number ◽  
Operation Results ◽  
Selection Of

Purpose This paper aims to propose an enhanced algorithm and used to decision-making that specifically focuses on the choice of a domain in the calculation of degree of greyness according to the principle of grey numbers operation. The domain means the emerging background of interval grey numbers, it is vital for the operational mechanism of such interval grey numbers. However, the criteria of selection of domain always remain same that is not only for the calculated grey numbers but also for the resultant grey numbers, which can be assumed as unrealistic up to a certain extent. Design/methodology/approach The existence of interval grey number operation based on kernel and the degree of greyness containing two calculation aspects, which are kernel and the degree of greyness. For the degree of greyness, it includes concepts of domain and calculation of the domain. The concepts of a domain are defined. The enhanced algorithm is also comprised of four deductive theorems and eight rules that are linked to the properties of the enhanced algorithm of the interval grey numbers based on the kernel and the degree of greyness. Findings Aiming to improve the algorithm of the degree of greyness for interval grey numbers, based on the variation of domain in the operation process, the degree of greyness of the operation result is defined in this paper, and the specific expressions for algebraic operations are given, which is relevant to the kernel, the degree of greyness and the domain. Then, these expressions are used to the algorithm of interval grey numbers based on the kernel and the degree of greyness, improving the accuracy of the operation results. Originality/value The enhanced algorithm in this paper can effectively reduce the loss of information in the operation process, so as to avoid the situation where the decision values are the same and scientific decisions cannot be made during the grey evaluation and decision-making process.

The application of Delphi and AHP method in environmentally conscious solid waste treatment and disposal technology selection

2016 ◽  
Vol 27 (4) ◽  
pp. 427-440 ◽  
Author(s):  
Manoj Govind Kharat ◽  
Rakesh D Raut ◽  
Sachin S Kamble ◽  
Sheetal Jaisingh Kamble
Keyword(s):  
Decision Making ◽  
Waste Treatment ◽  
Evaluation Criteria ◽  
Technology Selection ◽  
Decision Making Process ◽  
Content Type ◽  
Environmentally Sustainable ◽  
Complex Models ◽  
Treatment And Disposal ◽  
Selection Of

Purpose – The purpose of this paper is to describe an application of Multi-Criteria Decision Making (MCDM) technique for the selection of waste treatment and disposal technology for municipal solid waste (MSW). Design/methodology/approach – The proposed approach is based on the integration of Delphi and Analytic Hierarchy Process (AHP) techniques. A model has been proposed to evaluate the best treatment and disposal technology. Expert opinions have been incorporated in the selection of criteria. AHP has been used to determine the weights of criteria, followed by ranking of the available technologies. Findings – Delphi method was used to derive appropriate evaluation criteria to assess the potential alternative technologies. A set of identified holistic criteria was used, representing the environmental, social, and economic aspects, as compared to the sub-criteria concept generally found in existing literature. Quantitative weightings from the AHP model were calculated to identify the priorities of alternatives. The study provides a simple framework for technology selection as compared to the complex models present in the literature, reducing the uncertainty, cost and time consumed in the decision-making process. Practical implications – The model identifies the optimal technologies for the handling, treatment and disposal of MSW in a better economic and more environmentally sustainable way. The study provides a simple framework for selection as compared to the complex models present in the literature, reducing the uncertainty, cost and time taken by the decision-making process. Originality/value – The paper highlights a new insight into MCDM techniques to select an optimum treatment and disposal technology suitable for MSW management in India. The study identifies a minimal relevant set of evaluation criteria, and appropriate technologies for the handling, treatment, and disposal of MSW in a more economic and environmentally sustainable way.

scholarly journals Maintenance strategies: Decision Making Grid vs Jack-Knife Diagram

2018 ◽  
Vol 24 (1) ◽  
pp. 61-78 ◽  
Author(s):  
Turuna Seecharan ◽  
Ashraf Labib ◽  
Andrew Jardine
Keyword(s):  
Decision Making ◽  
Industrial Applications ◽  
Maintenance Strategy ◽  
Maintenance Strategies ◽  
Content Type ◽  
Machine Performance ◽  
Equipment Failures ◽  
Maintenance Technicians ◽  
Increasing Demand ◽  
Critical Machines

Purpose Maintenance management is a vital strategic task given the increasing demand on sustained availability of machines. Machine performance depends primarily on frequency and downtime; therefore, ranking critical machines based on these two criteria is important to determine the appropriate maintenance strategy. The purpose of this paper is to compare two methods, using case studies, to allocate maintenance strategies while prioritising performance based on frequency and downtime or Mean Time to Repair: the Decision Making Grid (DMG) and Jack-Knife Diagram (JKD). Design/methodology/approach The literature indicates the need for an approach able to integrate maintenance performance and strategy in order to adapt existing data on equipment failures and to routinely adjust preventive measures. Maintenance strategies are incomparable; one strategy should not be applied to all machines, nor all strategies to the same machine. Findings Compared to the Pareto histogram, the DMG and JKD provide visual representations of the performance of the worst machines with respect to frequency and downtime, thus allowing maintenance technicians to apply the appropriate maintenance strategy. Each method has its own merits. Research limitations/implications This work compares only two methods based on their original conceptualisation. This is due to their similarities in using same input data and their main features. However, there is a scope to compare to other methods or variations of these methods. Practical implications This paper highlights how the DMG and JKD can be incorporated in industrial applications to allocate appropriate maintenance strategy and track machine performance over time. Originality/value Neither DMG nor JKD have been compared in the literature. Currently, the JKD has been used to rank machines, and the DMG has been used to determine maintenance strategies.

Sustainable built heritage: maintenance management appraisal approach

2019 ◽  
Vol 9 (3) ◽  
pp. 266-281 ◽  
Author(s):  
Brit Anak Kayan
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Maintenance Phase ◽  
Maintenance Management ◽  
Decision Making Process ◽  
Maintenance Strategies ◽  
Content Type ◽  
Built Heritage ◽  
Practical Implications ◽  
Survey Questionnaires

PurposeSustainability encapsulated economic, environmental and societal parameters. Without exception, these parameters also conforms the efficiency and increasingly importance of sustainable maintenance management for built heritage. However, there is less attention to the appraisal approach for maintenance management of built heritage, twinned with inconsistent and impractical assessment upon their maintenance strategies. With the aim to support sustainability, the purpose of this paper is to give an insight to the question on how the maintenance management appraisal approach practically determines and ultimately substantiates the decision-making process that promotes sustainable built heritage, based on current scenarios and practices in Malaysia.Design/methodology/approachMaintenance management appraisal for sampling of built heritage enables assessment of efficiency of maintenance and repair during maintenance phase based on survey (questionnaires) and statistical analysis.FindingsIt recognises the importance of maintenance management appraisal in achieving efficiency and underpinning rationale decision making for maintenance strategies and service quality (SERVQUAL).Practical implicationsIt must be emphasised that maintenance management appraisal is not confined to built heritage, and can be applied to any types and forms of property. The decision made as a result of its utilisation is practically support sustainable repair.Social implicationsThe implementation of this appraisal highlights the efficacy of maintenance strategies and SERVQUAL that may be adopted.Originality/valueThe paper is a rigorous appraisal of maintenance management of built heritage. This appraisal relays the “true” sustainable built heritage, contextualised within maintenance strategies and SERVQUAL that consequently allows rationale in achieving sustainable development.

scholarly journals Islamist parties and social movements: cases of Egypt and Tunisia

2019 ◽  
Vol 4 (3) ◽  
pp. 224-241
Author(s):  
Nora Medhat Abdelkader
Keyword(s):  
Decision Making ◽  
Social Movements ◽  
Case Studies ◽  
Two Dimensions ◽  
Decision Making Process ◽  
Content Type ◽  
Institutional Legitimacy ◽  
Party Building ◽  
The Social ◽  
Research Findings

Purpose This paper aims to shed light on the previous ideological stands of the newly established Islamist parties in terms of the idea of party formation, and different models of their relations with the social movements from which they emanated through focusing on some case studies, namely, Egypt and Tunisia, with an attempt to study their impact on the parties’ paths by concentrating on two dimensions: the decision-making process and alliances’ building. Design/methodology/approach The paper is written according to the comparative case studies approach and Huntington’s new institutionalism. Findings The research findings proved that, in the light of the two case studies, there are two different models of relations exist between the Islamist political parties and the social movements they emanated from, and despite that both parties had come out from social movements or took the form of a movement in their beginnings and were established within the same context, they showed different perspectives in dealing later on with the new institutional and political context and their rising challenges. These perspectives affected the parties’ decision-making process and alliances’ building, as well as their institutional legitimacy and determined their political future. Originality/value In the end, this paper attempts to deal with the degree of institutionalization these parties enjoyed, based on how the movements they emanated from had dealt with the dilemma of party building and the party-movement relations.

Integrating spirituality into the practice of leadership

2021 ◽  
Vol 37 (4) ◽  
pp. 10-12
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Design Methodology ◽  
Reading Time ◽  
Decision Making Process ◽  
Organizational Decision Making ◽  
Content Type ◽  
Moral Compass ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings This research paper concentrates on how organizational decision-making can be influenced by a leader's personal spirituality. Overall, the respondent executives conveyed that their spirituality is an ingrained part of their identity and a source of direction in their decision-making process. They tend to call on their spirituality especially when making decisions concerning people, yet try not to be overt about their beliefs. Three overall themes emerged, that spirituality heightened the leaders' abilities, that it provided a moral compass or North star for their decision-making, and that spirituality steered leaders into decisions. Most leaders mentioned more than one of these themes. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

A Decision Methodology for Determining Suitable Post-Disaster Accommodations: Reconsidering Effective Indicators for Decision-making Processes

2020 ◽  
Vol 17 (3) ◽  
Author(s):  
S. M. Amin Hosseini ◽  
Albert de la Fuente ◽  
Oriol Pons ◽  
Carmen Mendoza Arroyo
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Natural Hazard ◽  
Recovery Process ◽  
Decision Making Process ◽  
Temporary Housing ◽  
Universal Approach ◽  
Decision Making Processes ◽  
Main Factors ◽  
Post Disaster

AbstractOne of the main challenges in assisting displaced persons who have lost their homes as a result of a natural hazard is the provision of adequate post-disaster accommodations, such as temporary housing. Although the need for temporary housing has increased around the world in recent years, it has been criticized on economic, environmental, and social grounds. A universal approach to post-disaster accommodations cannot successfully deal with this issue because each recovery process involves a unique set of conditions. Therefore, rather than defining a specific strategy, this study aims to present an approach capable of producing customized strategies based on contextual and social conditions. To this end, first, the main factors influencing the choice of post-disaster accommodations are identified through five case studies. It is concluded that all of the factors can be organized into three main vertices to simplify the highly complex issues involved in post-disaster accommodations. The case studies also show that the decision-making process consists of two main parts. To date, a recurring failure to distinguish between these two parts has led to unsuitable outcomes. Thus, this paper presents a new decision-making methodology, consisting of multiple steps, phases, and indicators based on the main vertices.

Measuring intellectual capital in a firm belonging to a strategic alliance

2015 ◽  
Vol 16 (1) ◽  
pp. 174-198 ◽  
Author(s):  
Stefania Veltri ◽  
Andrea Venturelli ◽  
Giovanni Mastroleo
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Intellectual Capital ◽  
Strategic Alliances ◽  
Strategic Alliance ◽  
Empirical Work ◽  
Organizational Level ◽  
Decision Making Process ◽  
Content Type ◽  
Scant Attention

Purpose – The purpose of this paper is to propose a method to measure intellectual capital (IC) in firms involved in strategic alliances, an area that has received scant attention in the literature, as existing research is focused mainly on organizational level mainly and increasingly on macro-level unit such as regions or nations. There are very few works at the meso-level (i.e. alliances, clusters), and the paper aims to fill this void, by providing researchers and practitioners with a tool capable of combining measurement and management aims, developed at organizational level with the active participation of the researchers. Design/methodology/approach – The method of analysis is based on a model formalized through a fuzzy expert system (FES). The FES are able to merge the capabilities of an expert system to simulate the decision-making process with the vagueness typical of human reasoning, maintaining the ability to still have a numeric value as a response. Its construction requires the participation of experts, whose knowledge of the problem is accumulated in the form of blocks of rules. These features make it possible to formalize the decision-making process related to the IC valuation, handling qualitative and quantitative variables, and exploring the cognitive mechanisms underlying this process. Findings – The outcome of the application is a system designed to measure the intangible performance deriving from participation in a strategic alliance using FES. This study contributes to the broadening of the research community’s understanding regarding the alternative measurement of IC created within strategic alliances. Research limitations/implications – To the best of the authors’ knowledge, IC literature lacks methods expressly designed to measure the incremental value of IC originating from collaboration among firms. From a measurement perspective, the results may be regarded as valuable proof that IC performance within strategic alliances can be measured quantitatively. Practical implications – On the management side, the possibility of retracing the determinants of different IC intermediate indicators composing the final IC index allows strategic alliances managers to use this information for decision-making purposes. Originality/value – To the best of the authors’ knowledge this is the first study applying FES to measure IC in a firm belonging to a strategic alliance. In the authors’ opinion, fuzzy logic methodology, recently applied in empirical work designed to evaluate IC, represents a reliable methodology because of the “fuzzy” nature of IC.

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