On modelling and evaluation of corrective and preventive maintenance policies of unreliable manufacturing systems

2019 ◽  
Author(s):  
Rym Meriah ◽  
Kamel Barkaoui ◽  
Gaiyun Liu ◽  
Olfa Belkahla Driss
Keyword(s):  
Preventive Maintenance ◽  
Manufacturing Systems ◽  
Maintenance Policies

scholarly journals Considering human error in optimizing production and corrective and preventive maintenance policies for manufacturing systems

2016 ◽  
Vol 40 (3) ◽  
pp. 2056-2074 ◽  
Author(s):  
Behnam Emami-Mehrgani ◽  
W. Patrick Neumann ◽  
Sylvie Nadeau ◽  
Majid Bazrafshan
Keyword(s):  
Preventive Maintenance ◽  
Manufacturing Systems ◽  
Human Error ◽  
Maintenance Policies

Impact of condition based maintenance policies on the service level of multi-stage manufacturing systems

2018 ◽  
Vol 76 ◽  
pp. 65-78
Author(s):  
Alessio Angius ◽  
Marcello Colledani ◽  
Anteneh Yemane
Keyword(s):  
Manufacturing Systems ◽  
Service Level ◽  
Condition Based Maintenance ◽  
Multi Stage ◽  
Maintenance Policies

Real-Time Maintenance Policy in Manufacturing Systems With Intermediate Buffers

2015 ◽  
Author(s):  
Xi Gu ◽  
Xiaoning Jin ◽  
Jun Ni
Keyword(s):  
Real Time ◽  
Manufacturing Systems ◽  
Maintenance Policy ◽  
Discrete Time Markov Chain ◽  
Markov Decision ◽  
Maintenance Decision ◽  
Maintenance Policies ◽  
Time Buffer ◽  
Buffer Capacities ◽  
One Machine

Real-time maintenance decision making in large manufacturing system is complex because it requires the integration of different information, including the degradation states of machines, as well as inventories in the intermediate buffers. In this paper, by using a discrete time Markov chain (DTMC) model, we consider the real-time maintenance policies in manufacturing systems consisting of multiple machines and intermediate buffers. The optimal policy is investigated by using a Markov Decision Process (MDP) approach. This policy is compared with a baseline policy, where the maintenance decision on one machine only depends on its degradation state. The result shows how the structures of the policies are affected by the buffer capacities and real-time buffer levels.

Optimum Piggyback Preventive Maintenance Policies

1985 ◽  
Vol R-34 (5) ◽  
pp. 529-538 ◽  
Author(s):  
Tom Y. Liang
Keyword(s):  
Preventive Maintenance ◽  
Maintenance Policies

Selection of Maintenance Strategies in an Operating Theatre

2021 ◽  
pp. 1-35
Author(s):  
María Carmen Carnero ◽  
Andrés Gómez
Keyword(s):  
Preventive Maintenance ◽  
Predictive Maintenance ◽  
Operating Theatre ◽  
Sterile Water ◽  
Repairable Systems ◽  
Corrective Maintenance ◽  
Water Power ◽  
Suitable Combination ◽  
Multicriteria Model ◽  
Maintenance Policies

The aim of this chapter is to select the most suitable combination of maintenance policies in the different systems that make up an operating theatre: air conditioning, sterile water, power supply, medicinal gases, and operating theatre lighting. To do so, a multicriteria model will be developed using the Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) approach considering multiple decision centres. The model uses functional, safety, and technical-economic criteria, amongst which is availability. Mean availability for repairable systems has been measured to assess this criterion, using Markov chains from the data obtained over three years from the subsystems of a hospital operating theatre. The alternatives considered are corrective maintenance; preventive maintenance together with corrective maintenance by means of daily, weekly, monthly, and yearly programmes; periodical predictive maintenance together with corrective maintenance; and corrective together with preventive and predictive maintenance.

On preventive maintenance policies: a selection framework

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Imad Alsyouf ◽  
Sadeque Hamdan ◽  
Mohammad Shamsuzzaman ◽  
Salah Haridy ◽  
Iyad Alawaysheh
Keyword(s):  
Preventive Maintenance ◽  
Fuzzy Ahp ◽  
Critical Component ◽  
Multi Objective Optimization ◽  
Maintenance Policy ◽  
Coolant Pump ◽  
Content Type ◽  
Multi Objective ◽  
Maintenance Policies ◽  
Preventive Maintenance Policy

PurposeThis paper develops a framework for selecting the most efficient and effective preventive maintenance policy using multiple-criteria decision making and multi-objective optimization.Design/methodology/approachThe critical component is identified with a list of maintenance policies, and then its failure data are collected and the optimization objective functions are defined. Fuzzy AHP is used to prioritize each objective based on the experts' questionnaire. Weighted comprehensive criterion method is used to solve the multi-objective models for each policy. Finally, the effectiveness and efficiency are calculated to select the best maintenance policy.FindingsFor a fleet of buses in hot climate environment where coolant pump is identified as the most critical component, it was found that block-GAN policy is the most efficient and effective one with a 10.24% of cost saving and 0.34 expected number of failures per cycle compared to age policy and block-BAO policy.Research limitations/implicationsOnly three maintenance policies are compared and studied. Other maintenance policies can also be considered in future.Practical implicationsThe proposed methodology is implemented in UAE for selecting a maintenance scheme for a critical component in a fleet of buses. It can be validated later in other Gulf countries.Originality/valueThis research lays a solid foundation for selecting the most efficient and effective preventive maintenance policy for different applications and sectors using MCDM and multi-objective optimization to improve reliability and avoid economic loss.

Optimizing production and imperfect preventive maintenance planning׳s integration in failure-prone manufacturing systems

2016 ◽  
Vol 145 ◽  
pp. 190-198 ◽  
Author(s):  
El-Houssaine Aghezzaf ◽  
Abdelhakim Khatab ◽  
Phuoc Le Tam
Keyword(s):  
Preventive Maintenance ◽  
Manufacturing Systems
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