Jointly Optimal Block-Replacement and Spare Provisioning Policy

Acharya, D.; Nagabhushanam, G.; Alam, Shariful

doi:10.1109/tr.1986.4335501

Cited by 46 publications

(13 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Acharya [7] developed a block replacement policy with periodic review of the spare part stock. This is the first model that tried to optimize maintenance and inventory policies simultaneously.…”

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.

View full text Add to dashboard Cite

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.

show abstract

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.

View full text Add to dashboard Cite

show abstract

“…Mathematical programming models are usually based on renewal theory, and they have been used in the joint optimization problem where renewal cycle can be easily determined. For example, the joint models have been used in age-based maintenance and periodic review inventory policies for single-unit systems [11], condition-based maintenance related joint policies for single-unit systems [12], and block replacement and periodic review inventory policies [13][14][15][16][17]. The last joint policies have been widely studied, because they are commonly used in practice and have good time synchronization properties for multi-unit systems.…”

Section: Introductionmentioning

confidence: 99%

Joint optimization of preventive maintenance and inventory policies for multi-unit systems subject to deteriorating spare part inventory

Jiang

Chen

Zhou

2015

Journal of Manufacturing Systems

View full text Add to dashboard Cite

“…Some authors have studied the effect of the spare-provisioning policy on the preventive maintenance strategies [1, 6 and 10]. However, those entire models have considering the purchasing lead time negligible [1] or constant and shorter than the preventive replacement period [6 and 10]. Those assumptions restricted the model to some specific structure and limited their application in real manufacturing case.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective optimization in an unreliable failure‐prone manufacturing system

Boulet

Gharbi

Kenné

2009

J of Qual in Maintenance Eng

View full text Add to dashboard Cite

Purpose -This article considers a corrective and preventive maintenance model with a view to both minimizing cost and maximizing system availability. The model examined is based on a m identical machine system subject to unpredictable breakdown and repair, and the maintenance strategy used is based on the existing block-replacement policy, which consists in replacing components upon failure or preventively, at scheduled intervals (T). Spare part inventory management is based on the (S, Q) model, whereby an order is placed when the replacement stock level drops below a given safety threshold level (S). At that time, a replacement part quantity (Q) is ordered, and is received after a stochastic lead time (τ).Design/methodology/approach -The experimental multiobjective proposed approach combines a simulation model and a statistical method (desirability approach, experimental design, response surface methodology and variance analysis (ANOVA)) to determine the best system parameters. The desirability function is used to convert a multiresponse problem into a maximization problem with a single aggregate measure.Finding -The proposed model jointly minimizes the overall maintenance cost and maximizes system availability using a multiobjective optimization desirability function.Practical implication -The multiobjective model can be used in a real manufacturing environment to help business decision makers determine the best compromise system parameters and adjust said parameters to obtain desired response variables (overall production cost and system availability).Originality/value -The proposed model allows the simultaneous optimization of two response variables, and determines the best system parameter compromise between the system cost minimization and the system availability maximization.

show abstract

Jointly Optimal Block-Replacement and Spare Provisioning Policy

Cited by 46 publications

References 6 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

Joint optimization of preventive maintenance and inventory policies for multi-unit systems subject to deteriorating spare part inventory

Multiobjective optimization in an unreliable failure‐prone manufacturing system

Contact Info

Product

Resources

About