Maintenance cost minimization of manufacturing systems using PSO under reliability constraint

Loganathan, M. K.; Gandhi, O.P.

doi:10.1007/s13198-015-0374-2

Cited by 30 publications

(3 citation statements)

References 52 publications

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“…Great emphasis is placed on keeping PE in high readiness, which generates demanding requirements for their maintenance. By a suitable setting of the maintenance policy, it is possible to significantly extend the operation time until failure, maintenance costs and the life cycle of the PE [3][4][5][6]. Many maintenance strategies, policies and methods have been developed, which are aimed at making maintenance cheaper and more effective.…”

Section: Introductionmentioning

confidence: 99%

Weibull's analysis of the dependability of critical components of selected agricutural machinery

Fabiánek¹,

Legát²,

Aleš³

2021

Manufacturing Technology

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The aim of this paper is an analysis of the dependability of critical components of the John Deer 7530 tractor. For this analysis data was used from a database which contains maintenance data of 166 tractors during approx 9 years. The first part of this article is devoted to the selection of critical components based on number of failures of individual machine parts for a given period and their sales prices. The next part of article presents data for calculation dependability indicators which contains operating times to failure and operating times without failure. Due to the large size of the data files of the individual components, the data are only given for one machine component. Furthermore, the method of calculation of dependability indicators is described by parametric statistical methods according to ČSN EN 61649:2009 and mean time to operating failure. The results of the analysis are summarized in tables and graphs. The method in this article can be used to optimise the maintenance program.

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Section: Introductionmentioning

confidence: 99%

Weibull's analysis of the dependability of critical components of selected agricutural machinery

Fabiánek¹,

Legát²,

Aleš³

2021

Manufacturing Technology

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“…In particular, PM is carried out periodically on the basis of experience [41] or from the recommendation of the equipment manufacturers, and it does not account for unexpected failures because their failure mechanisms are time based [8]. PM and CM has been employed for general medical equipment [16,19,23,25] but their implementation lacks simplicity and cost-effectiveness [21,24].…”

Section: Introductionmentioning

confidence: 99%

Optimal maintenance strategy on medical instruments used for haemodialysis process

Ming¹,

Narula²,

An³

et al. 2019

Eksploatacja i Niezawodność – Maintenance and Reliability

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Optimal maintenance strategy On medical instruments used fOr haemOdialysis prOcessOptymalna strategia kOnserwacji urządzeń medycznych wykOrzystywanych w prOcesie hemOdializy Haemodialysis machines are one of the important medical equipment which is used to treat renal failures and minimum downtimes are thus essential. Uninterrupted and constant use of these machines in hospitals worldwide makes them vulnerable to failures if not maintained properly. Consequently, the maintenance cost for dialysis machine is high. A method to implement a cost effective maintenance strategy is demonstrated in this work. Root Cause Based Maintenance (RCBM) strategy is employed at the component level to optimize the Reliability Based Maintenance schedules derived from the existing maintenance and failure data. In order to minimize the average cost of maintenance for Haemodialysis machines and ensure their high operational availability, a Cost-Model is derived, and Genetic Algorithm is employed for optimization in this work. The application of RCBM strategy results in cost saving of about 60% of the cost incurred using current maintenance scheme. Statistical and optimization calculations are performed using Reliasoft's Weibull++ and MATLAB tools respectively.

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“…Drastic changes in manufacturing industry highlight the importance of manufacturing organizations in the current competitive environment (Ahuja et al 2006;Miyake 1999;George 2002). To win this intense competition, there is a call for improving performance of organizations (Raouf 1994) in different ways for instance by cutting the costs (Loganathan and Gandhi 2016), increasing the level of productivity and their quality, or guarantying the delivery of the products and addressing their satisfaction. Some scholars (Gotoh 1991;Hipkin and De Cock 2000) believe that manufacturing high quality products with the minimum of the cost requires organizations to analyze their products during the research and development process.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the productivity of maintenance systems using system dynamics modeling method

Esmaeili

Hasan

Bisheh

2018

Int J Syst Assur Eng Manag

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Achievement of industries in production and offering products depends on different factors like having an appropriate maintenance system. This issue should be reached through the most appropriate and practical methods. In this study, based on how the external parameters would influence the productivity of a maintenance system the researcher aims at designing a dynamic system model to analyze the productivity of a maintenance system using acquired information from a car device company by determination of the percentage of parameters and indexes and their influence on maintenance system productivity. The proposed model is simulated for a system with parameters of precise value according to fixed and variable maintenance policies which the results are represented. The results of different policies described by using computerized simulation of the prepared model on VENSIM software. The time horizon of the systems can be considered from several years to several decades. This research considered 12 weeks for analyzing the system. This time was specified by consultation with experts in the first session of modeling. In such environment a model of productivity evaluation and operation of maintenance seems required that in this research by analyzing influential factors on maintenance system productivity of a factory and by means of acquired samples, it was possible to measure the ratio of maintenance system operation condition according to the posed indexes and their influences on productivity operation. This situation shows that to the extent that positive indexes in the diagram are higher to the same extent maintenance system productivity of company increases.

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Maintenance cost minimization of manufacturing systems using PSO under reliability constraint

Cited by 30 publications

References 52 publications

Weibull's analysis of the dependability of critical components of selected agricutural machinery

Weibull's analysis of the dependability of critical components of selected agricutural machinery

Optimal maintenance strategy on medical instruments used for haemodialysis process

Analyzing the productivity of maintenance systems using system dynamics modeling method

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