Maintenance Strategy Selection: a comparison between Fuzzy Logic and Analytic Hierarchy Process

Ierace, Stefano; Cavalieri, Sergio

doi:10.3182/20081205-2-cl-4009.00041

Cited by 18 publications

(13 citation statements)

References 17 publications

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“…Step 2: The linguistic variables are converted to IT2-FS numbers, and the aggregated initial relation matrixK is computed by equation ( 12): K =k (1) +k (2)…”

Section: Interval Type-2 Fuzzy Danpmentioning

confidence: 99%

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

Arjomandi

Dinmohammadi

Mosallanezhad

et al. 2021

Advances in Mechanical Engineering

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In most industries, such as aerospace, manufacturing, transport and energy sectors, maintenance plays a vital role in improving the performance of safety critical equipment and facilities. It also helps industries achieve the largest possible efficiency, ensure workplace and environmental safety, and reduce unnecessary breakdowns and costs. Therefore, it is crucial for industries to adopt an optimal maintenance strategy for their critical systems and infrastructure. In this study, we aim to propose a novel analytical multi-criteria decision-making (MCDM) methodology for selecting the most suitable maintenance strategy in distillation units of oil refinery plants. The alternative maintenance strategies include run-to-failure (RTF), preventive maintenance (PM), condition-based maintenance (CBM), and reliability centered maintenance (RCM), which are evaluated with respect to 12 sub-criteria in three categories of economical, safety, and sustainability issues. The MCDM methodology consists of a DEMATEL-based analytic network process (ANP) method to determine the importance weights of decision criteria and a VIKOR method to rank the maintenance strategies. Also, interval type-2 fuzzy sets are used to capture uncertainty in experts’ individual judgments. Finally, a real case study is provided to show the applicability of the proposed methodology to an oil refinery plant. The results show that, thanks to advances in degradation modeling, sensor technology, and data analytics platforms, the RCM and CBM are the superior maintenance strategy for crude oil distillation systems.

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“…Step 2: The linguistic variables are converted to IT2-FS numbers, and the aggregated initial relation matrixK is computed by equation ( 12): K =k (1) +k (2)…”

Section: Interval Type-2 Fuzzy Danpmentioning

confidence: 99%

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

Arjomandi

Dinmohammadi

Mosallanezhad

et al. 2021

Advances in Mechanical Engineering

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“…As an undeniable issue in today's business, competitiveness should be considered in any industry, [18,19,30,46]. Nowadays, quality considerations, availability, cost saving issues, safety and reliability are getting more attention.…”

Section: Related Studiesmentioning

confidence: 99%

Application of fuzzy analytic hierarchy process (FAHP) in failure investigation of knowledge-based business plans

et al. 2019

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This research develops a fuzzy analytic hierarchy process (FAHP) to investigate and prioritize the failures of knowledgebased business plans. Although the concept of failure investigation has been discussed in previous studies, its integration with knowledge-based business plans is not investigated yet. To fill this gap, this research is completed in three main steps as follows. Firstly, the general failures of business are developed from the previous literature. Secondly, the developed failures are investigated with regard to their availability in knowledge-based business plans. Finally, a FAHP is applied to prioritize the failures of knowledge-based business plans. According to the obtained results, lack of managerial experience, lack of written business plans and ineffective advertising are the most important reason of failing knowledge-based business plans. As the major implications of this study, the developed measures, methodology and obtained results assist managers, researchers and investors to determine the sources of failures in knowledge-based business plans.

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“…As Ierace and Cavalieri [20] pointed out, the selection of a maintenance policy can be regarded as a Multi Criteria Decision Method (MCDM) process, which encompasses several tangible and intangible (or not numerically quantifiable) factors.…”

Section: Maintenance Strategies Choices Orientedmentioning

confidence: 99%

“…On the contrary, due to the utmost relevance of maintenance in managing industrial assets and the tighter investment opportunities, there is a compelling need in supporting a maintenance manager in prioritising the most effective decisions and evaluating beforehand their potential impact on the company's strategic KPIs. Failure Based Focused only on maintenance policies whose choice depends mainly on impact of failure on production and safety [2,6,9,20,[31][32][33] Technology Based Focused on the relationships between production technology and maintenance, neglecting the impact of failure and the relationships with other functions [21] Business Oriented Consider also business and manufacturing strategies but do not include any technical element [3] …”

Section: Maintenance Strategies Choices Orientedmentioning

confidence: 99%

An Analytic Hierarchy Process Based Model for the Selection of Decision Categories in Maintenance Systems

Ierace¹,

Cavalieri²

2013

Management and Production Engineering Review

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Accepted: 12 June 2013 This paper presents a model, based on Analytic Hierarchy Process, to support a maintenance manager with a suitable tool for focusing on the most relevant choices which need to be prioritized. The paper provides an insight on how structural and infra-structural decision elements, traditionally conceived for assessing the manufacturing strategy of a company, could be adopted as criteria for configuring a maintenance system. A model based on Analytic Hierarchy Process has been developed and tested in two industrial case studies in order to demonstrate how it can guide a maintenance manager in keeping the strategic decisions coherently with the overall company's manufacturing strategy. Main beneficiaries are mainly maintenance managers who have to tackle relevant strategic decisions in managing their maintenance systems. Given the increasing role of maintenance within the operations strategy of a company, the heterogeneity of actors involved, with the relevant risk of assuming conflicting decisions, it is of utmost importance to lever on adequate and shared decision support systems rather than relying on a mere empirical knowledge. The model proposed in this paper, based on the Analytic Hierarchy Process, fills this gap since it provides a structured support in the decision making process by comparing and prioritising the relevant strategic decisions pertaining to the configuration of a maintenance system.

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Maintenance Strategy Selection: a comparison between Fuzzy Logic and Analytic Hierarchy Process

Cited by 18 publications

References 17 publications

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

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

Application of fuzzy analytic hierarchy process (FAHP) in failure investigation of knowledge-based business plans

An Analytic Hierarchy Process Based Model for the Selection of Decision Categories in Maintenance Systems

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