scholarly journals Joint optimal production control/preventive maintenance policy for imperfect process manufacturing cell

2012 ◽  
Vol 137 (1) ◽  
pp. 126-136 ◽  
Author(s):  
K. Dhouib ◽  
A. Gharbi ◽  
M.N. Ben Aziza
Keyword(s):  
Preventive Maintenance ◽  
Production Control ◽  
Maintenance Policy ◽  
Optimal Production ◽  
Manufacturing Cell ◽  
Process Manufacturing ◽  
Preventive Maintenance Policy

A preventive maintenance policy for a pull system with degradation and failures considering product quality

2018 ◽  
Vol 233 (2) ◽  
pp. 335-347 ◽  
Author(s):  
Binghai Zhou ◽  
Guoqing Cheng ◽  
Ziqiang Liu ◽  
Zilong Liu
Keyword(s):  
Preventive Maintenance ◽  
Production Control ◽  
Control Policy ◽  
Maintenance Policy ◽  
Pull System ◽  
Periodic Inspection ◽  
Inspection Policy ◽  
Maintenance Policies ◽  
Quality Of Products ◽  
Preventive Maintenance Policy

This paper aims to integrate a two-period condition-based preventive maintenance (TP-CBM) into a pull production system by using Kanban control policy. The pull system is subject to continuous degradation and random failures. It is assumed that the system’s degradation can be divided into several stages, where the hazard rate increasing factor is introduced to describe the failure rate at each stage. Meanwhile, quality of products is also considered. Markov chain is used to formulate the process of degradation and periodic inspection policy is adopted to trigger the preventive maintenance. A mathematical model is proposed to obtain the optimal production control and maintenance policies, i.e. the inspection rate, the amount of Kanban and the preventive maintenance threshold. A genetic algorithm combined with integer programming is proposed to solve the problem. Numerical instances indicate that the proposed TP-CBM policy is effective and efficient.

scholarly journals Vulnerability based management of water resources systems

2004 ◽  
Vol 6 (2) ◽  
pp. 133-156 ◽  
Author(s):  
V. K. Kanakoudis
Keyword(s):  
Water Supply ◽  
Preventive Maintenance ◽  
Water System ◽  
Supply System ◽  
Water Supply System ◽  
Maintenance Policy ◽  
Supply Networks ◽  
Water Resources Systems ◽  
Maintenance Schedule ◽  
Preventive Maintenance Policy

Must the water networks be fail-proof or must they remain safe during a failure? What must water system managers try to achieve? The present paper introduces a methodology for the hierarchical analysis (in time and space) of the preventive maintenance policy of water supply networks, using water supply system performance indices. This is being accomplished through a technical–economic analysis that takes into account all kinds of costs referring to the repair or replacement of trouble-causing parts of the water supply network. The optimal preventive maintenance schedule suggested by the methodology is compared with the empirically based maintenance policy applied to the Athens water supply system.

scholarly journals Preventive maintenance policy on leasing by considering the usage rate

2018 ◽  
Vol 204 ◽  
pp. 02016
Author(s):  
Moh. Jufriyanto ◽  
Nani Kurniati ◽  
Ade Supriatna
Keyword(s):  
Preventive Maintenance ◽  
Failure Time ◽  
Equipment Failure ◽  
Maintenance Policy ◽  
Time Duration ◽  
Maintenance Costs ◽  
Operational Conditions ◽  
Penalty Cost ◽  
Usage Rate ◽  
Preventive Maintenance Policy

The needs of the consumers about the functionality of a product and increase maintenance costs of equipment caused the prices of products and treatments to be expensive. Therefore, the company considers the lease rather than buy it. Leasing provides interesting strategy when dealing with expensive equipment. Policy maintenance that is done to the product that has decreased performance. Minimum repair done to fix failed equipment in order to return to operational condition, while imperfect preventive maintenance to improve the operational conditions of the equipment to avoid failure. Time duration for a minimum repair neglected. The lessor will charge a penalty (penalty cost) if the lease equipment failure. Mathematical model built for the minimization cost of maintenance policy. In the final part, the numerical experiment are given to show the maintenance policy taking into account the rate of usage (usage rate) by knowing the minimization the resulting costs.

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