Mathematical Problems in Engineering

Multi-Criteria Models to Evaluate Maintenance Strategy


Publishing date
01 Aug 2021
Status
Published
Submission deadline
19 Mar 2021

1University of Cassino and Southern Lazio, Cassino, Italy

2University of Naples Parthenope, Naples, Italy

3University of Florence, Florence, Italy

4Delft University of Technology, Delft, Netherlands


Multi-Criteria Models to Evaluate Maintenance Strategy

Description

Maintenance is one of the most crucial issues in today’s competitive manufacturing environment. Many companies think about maintenance as an inevitable source of cost. For these companies, maintenance operations are a corrective function only executed in emergency situations. Otherwise, modern competition is focused primarily on cost reduction in operation and maintenance, since machine failure may cause various business-related problems such as missing delivery dates, loss of reputation, direct and indirect loss of profit, and loss of opportunity. Maintenance costs vary from 15 to 70 percent of the total production cost. The maintenance costs are usually high due to the high cost of restoring equipment, secondary damage, and safety/health hazards inflicted by equipment failure.

Several maintenance approaches have been developed and implemented through the evolution of maintenance. For these reasons, managers must select the best maintenance policy for each unit or system from a set of possible alternatives (i.e., corrective, preventive, condition-based, and predictive). This selection is particularly difficult during the start-up phase. Various multi-criteria decision-making approaches have been proposed for maintenance strategy selection such as Analytic Hierarchy Process (AHP), Fuzzy set theory, Genetic Algorithm (GA), Mathematical Programming, Factor Analysis, Sensitive Analysis, and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Different maintenance alternatives are considered, and different criteria and sub-criteria are evaluated using Reliability, Availability, Maintainability, Safety (RAMS), and production parameters.

This Special Issue looks for research papers on various aspects of multi-criteria models for the selection of the best maintenance strategy. In particular, we want to emphasize the mathematical and modelling approaches put in place, also considering recent developments in predictive maintenance, to increase plant availability and reduce maintenance costs and the number of failures. Original research as well as review articles are welcome.

Potential topics include but are not limited to the following:

  • Maintenance Strategy
  • Algorithms for Predictive Maintenance
  • Analytic Hierarchy Process (AHP)
  • Fuzzy Logic
  • Technique for Order Preference by Similarities to Ideal Solution (TOPSIS)
  • Failure Analysis
  • Reliability, Availability, Maintainability, Safety (RAMS)

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 5551152
  • - Research Article

Empowered Hybrid Parent Selection for Improving Network Lifetime, PDR, and Latency in Smart Grid

Kanabadee Srisomboon | Tinnaphob Dindam | Wilaiporn Lee
  • Special Issue
  • - Volume 2021
  • - Article ID 5592325
  • - Research Article

Reliability Estimation under Scarcity of Data: A Comparison of Three Approaches

Leonardo Leoni | Alessandra Cantini | ... | Ahmad BahooToroody
  • Special Issue
  • - Volume 2021
  • - Article ID 8832011
  • - Research Article

Health Indicator for Predictive Maintenance Based on Fuzzy Cognitive Maps, Grey Wolf, and K-Nearest Neighbors Algorithms

G. Mazzuto | S. Antomarioni | ... | M. Bevilacqua
  • Special Issue
  • - Volume 2020
  • - Article ID 8882653
  • - Research Article

Gear Fault Diagnosis Based on VMD Sample Entropy and Discrete Hopfield Neural Network

Jiakai Ding | Dongming Xiao | ... | Xuejun Li
  • Special Issue
  • - Volume 2020
  • - Article ID 6639171
  • - Research Article

Multisensor Prognostic of RUL Based on EMD-ESN

Jiaxin Pei | Jian Wang
  • Special Issue
  • - Volume 2020
  • - Article ID 3078041
  • - Research Article

A Generalized Chart-Based Decision-Making Tool for Optimal Preventive Maintenance Time under Perfect Renewal Process Modeling

Pablo Viveros Gunckel | Fredy Kristjanpoller | René Tapia Peñaloza
Mathematical Problems in Engineering
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Acceptance rate11%
Submission to final decision118 days
Acceptance to publication28 days
CiteScore2.600
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