Joint optimal lot sizing and preventive maintenance policy for a production facility subject to condition monitoring

Jafari, Leila; Makiš, Viliam

doi:10.1016/j.ijpe.2015.07.034

Cited by 62 publications

(21 citation statements)

References 41 publications

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“…Finally, more systemic approaches linked to CBM should be investigated within industrial settings, such as the integration of lot-sizing and maintenance actions [208][209][210] or the optimization of a maintenance strategy considering economic manufacturing quantity [234].…”

Section: Future Researchmentioning

confidence: 99%

Condition-Based Maintenance—An Extensive Literature Review

et al. 2020

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This paper presents an extensive literature review on the field of condition-based maintenance (CBM). The paper encompasses over 4000 contributions, analysed through bibliometric indicators and meta-analysis techniques. The review adopts Factor Analysis as a dimensionality reduction, concerning the metric of the co-citations of the papers. Four main research areas have been identified, able to delineate the research field synthetically, from theoretical foundations of CBM; (i) towards more specific implementation strategies (ii) and then specifically focusing on operational aspects related to (iii) inspection and replacement and (iv) prognosis. The data-driven bibliometric results have been combined with an interpretative research to extract both core and detailed concepts related to CBM. This combined analysis allows a critical reflection on the field and the extraction of potential future research directions.

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Section: Future Researchmentioning

confidence: 99%

Condition-Based Maintenance—An Extensive Literature Review

et al. 2020

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“…Some works have been done to integrate the CBM policy into the economic manufacturing quantity problem to obtain the optimal maintenance threshold and lot size with the objective of minimizing the average longrun cost rate. [9][10][11] However, different product demands and capacity constraints are common in production and require more effort to deal with.…”

Section: Introductionmentioning

confidence: 99%

A rolling horizon approach for production planning and condition-based maintenance under uncertain demand

Lin

Liu

Ren

2019

Proceedings of the Institution of Mechanical Engineers, Part O:

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In reality, the forecast of uncertainties often becomes more accurate with the approaching of the forecasted period. This article proposes a rolling horizon approach to dynamically determine the production plan and the maintenance plan for a degradation system under uncertain environment. In each rolling horizon, demand forecasts are updated with new information from customers, and the degradation level of system is confirmed by inspection. By taking advantage of the updated uncertainties, at each decision point, the maintenance plan is determined by an advance-postpone balancing approach and the production plan is optimized by a heuristic algorithm in a two-stage stochastic model. Numerical results validate that the rolling horizon approach has great superiority over traditional stochastic programming approach in terms of real total cost and service level.

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“…Chakraborty, Giriand and Chaudhuri (2009) developed integrated production, inventory and maintenance models to study the joint effects of process deterioration, machine breakdown and inspections on the optimal lot-sizing decisions. Jafari and Makis (2015) developed the joint optimization of EPQ and PM policy for a production facility subject to deterioration and condition monitoring, and they proposed the proportional hazards model to consider condition monitoring information as well as the age of the production facility, the deterioration process is determined by the age and covariate values, the covariate process is modeled as a continuous-time Markov process, this work is extended by Jafari and Makis (2016), they modeled the covariate process as a Semi-Markov decision process. Bouslah, Gharbi and Pellerin (2016) studied the integrated design of production, continuous sampling inspection and preventive maintenance of a deteriorating production system.…”

Section: Introductionmentioning

confidence: 99%

Joint optimization of economic production quantity and preventive maintenance with considering multi-products and reserve time

Liu

Wang

2017

JIEM

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Purpose: We deal with the problem of the joint determination of optimal economic production quantity (EPQ) and optimal preventive maintenance (PM) for a system that can produce multiple products alternately. The objective is to find the optimal number of production cycles and the PM policy simultaneously by minimizing the cost model.Design/methodology/approach: Considering the products go through the system in a sequence and a complete run of all products forms a production cycle. In each cycle, beyond production time we also consider some reserve time for maintenance and setup, shortage and overproduction may occur. We study the integrated problem based on two PM policies, and explain the situation with the other PM policies. The delay – time concept is used to model PM decisions.Findings: Using the integrated EPQ and PM model, we can calculate the optimal production planning and PM schedule simultaneously, especially we consider multiple products in each production cycle, which is more practical and economic than previous works.Originality/value: In modern companies, the production planning and maintenance schedule share the same system, and traditional research about two activities is separated, that always generate conflicts, such as inadequate or excessive maintenance, and shortages, etc., so we develop the integrated EPQ and PM model to avoid these undesirable effects.

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Joint optimal lot sizing and preventive maintenance policy for a production facility subject to condition monitoring

Cited by 62 publications

References 41 publications

Condition-Based Maintenance—An Extensive Literature Review

Condition-Based Maintenance—An Extensive Literature Review

A rolling horizon approach for production planning and condition-based maintenance under uncertain demand

Joint optimization of economic production quantity and preventive maintenance with considering multi-products and reserve time

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