Optimization of maintenance and spare provisioning policy using simulation

Sarker, Ruhul A.; Haque, Amanul

doi:10.1016/s0307-904x(00)00011-1

Cited by 129 publications

(70 citation statements)

References 5 publications

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“…For a multi-component system under a block replacement policy, Sarker and Haque [14] have shown that joint optimization (s,S,T) gives a better solution than separate optimization. Similar to Kabir and Olayan [13], they also used a simulation model instead of an analytical model because it is extremely difficult to develop an analytical model for a joint optimization (s,S,T) policy.…”

Section: Literature Reviewmentioning

confidence: 99%

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Simultaneous Optimization of Block Replacement and Spare Part Ordering Time for a Multi Component System with Separate Spare Part Ordering for Block and Failure Replacements

Mardin

Dekker²

2016

J. Eng. Technol. Sci.

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Abstract.A block replacement schedule can be optimized simultaneously with a spare parts ordering schedule, since all items are replaced at a constant interval. The solution of joint optimization for spare parts ordering time and block replacement gives lower costs compared to separate optimization of ordering time and replacement time. The spare parts for replacement can be classified as stochastic demand for failure replacement and deterministic demand for block replacement. In this paper, we propose a simulation model for a separate spare parts ordering schedule. The solution was compared to the solution for a model with common spare parts for both failure and block replacement. The system has N identical components, each with a Weibull lifetime distribution. The costs of failure and block replacements, and also the costs of ordering, holding and shortage of spare parts are given. The proposed model was shown to perform better than the common order model. Also, compared to the age replacement model, the solution of the proposed model is relatively similar, yet the economies of scale would be an advantage for the block replacement over age replacement.

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Section: Literature Reviewmentioning

confidence: 99%

“…They listed the charasteristics of all reviewed articles. Among all the articles reviewed in their study, the model of Sarker and Hague [14] is the most closely related to our proposed model. The differences between Sarker and Hague [14] and the proposed model is in the spare parts ordering policy and the lead time.…”

Section: Literature Reviewmentioning

confidence: 99%

Simultaneous Optimization of Block Replacement and Spare Part Ordering Time for a Multi Component System with Separate Spare Part Ordering for Block and Failure Replacements

Mardin

Dekker²

2016

J. Eng. Technol. Sci.

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“…Only have we deposit and provide spare parts scientifically, the maintenance task can be economical and efficient. As many people know, Operation research has made a sufficient effect in the optimization of spare parts [14] . However, dynamic programming and Lagrange methods are difficult to solve great models and complex problems, for the many leash conditions and random factors.…”

Section: A Contents Of Maintenance Resources Optimization 1) Optimizmentioning

confidence: 99%

Predication and Optimization of Maintenance Resources for Weapon System

Wang¹

2011

IJISA

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Abstract-Maintenance resources are important part of the maintenance support system. The whole efficiency of weapon system is directly affected by the allocation of maintenance resources. Joint support for weapon system of multi-kinds of equipments is the main fashion of maintenance support in the future. However, there is a lack of the efficiency tools and methods for predication and optimization of weapon system maintenance resources presently. For the prediction requirement of maintenance resources of weapon system, the primary infection factors for the requirement of maintenance resources were analyzed. According to the different characteristics of maintenance resources and the analysis for the traditional classification methods, a kind of classification for weapon system's maintenance resources was given. A prediction flow for the maintenance resources requirement was designed. Four kinds of models for predicting the maintenance resources requirement in a weapon system were designed and described in detail. In this paper, approaches of the optimal selection from the simulation schemes and reverse simulation for the resources allocation optimization were analyzed; some optimization models for maintenance resources such as spare parts and personnel were constructed. Further more, an optimization and decision-making system was not only designed but also developed. At last, an example was presented, which proved the prediction and optimization methods were applicability and feasibility, the decision-making system for the optimization of maintenance resources was a supportable and efficient tool.

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“…Refs. [20,21] mostly deal with repairable spare parts or inventory managements with the aim of achieving previously set system reliability. On the other side, quantitative theories based on the theory of reliability were used to estimate the failure rate in order to precisely determine demand for a specific spare part [22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Spare Parts Forecasting Based on Reliability

Kontrec¹,

Panić²

2017

System Reliability

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Stochastic models for spare parts forecasting have not been widely researched in scientific literature from the aspect of their reliability. In this chapter, the authors present models which analyze standard reliability parameters of technical systems' parts/components. By analyzing system reliability and failure rate, we estimate the required number of spare parts in the moment of expected failure or when reliability falls below the predefined level. Two different approaches based on data availability are presented herewith.

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Optimization of maintenance and spare provisioning policy using simulation

Cited by 129 publications

References 5 publications

Simultaneous Optimization of Block Replacement and Spare Part Ordering Time for a Multi Component System with Separate Spare Part Ordering for Block and Failure Replacements

Simultaneous Optimization of Block Replacement and Spare Part Ordering Time for a Multi Component System with Separate Spare Part Ordering for Block and Failure Replacements

Predication and Optimization of Maintenance Resources for Weapon System

Spare Parts Forecasting Based on Reliability

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