Optimization of preventive maintenance through a combined maintenance-production simulation model

Roux, Olivier; Duvivier, David; Quesnel, Gauthier; Ramat, Éric

doi:10.1016/j.ijpe.2010.11.004

Cited by 42 publications

(15 citation statements)

References 15 publications

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“…The problem of the dual objective of production planning and maintenance was treated as a mixed linear program. Some authors [28] presented the optimisation of preventive maintenance by a simulation model that combined maintenance and production. The intention was to simultaneously ensure a low frequency of failure by efficient periodic preventive maintenance and to minimise the unavailability of the production system, which implied a minimum impact on production.…”

Section: Stock Levelsmentioning

confidence: 99%

Integration of maintenance and production strategies under subcontracting constraint: Classification and opportunity

Hafidi¹,

Barkany²,

Mahmoudi³

2017

J. MECH. ENG. SCI.

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The main concern of the manufacturing industry is maintaining the tools of production so that they are in good working order. However, the maintenance and production functions are linked because the integrated management of these two functions is necessary for the efficient operation of the means of production. In fact, when the demand exceeds the maximum production capacity, the company takes on subcontracting to meet the needs of the customers. The objective of this research is to identify the current and future direction of research in this field according to the different classification criteria proposed. In this paper, firstly, the different approaches of maintenance integrated into production systems are presented. Secondly, the models that deal with joint maintenance management and subcontracting production as a solution that aligns with the company's strategic objectives are discussed as well as the resolution and management approaches that integrated problem optimisation. Finally, a comparative study of existing approaches was conducted and their purpose analysed. As perspective, we will propose and implement in our future research a model and powerful tool to establish a better policy of maintenance integrated to the production using subcontracting.

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Section: Stock Levelsmentioning

confidence: 99%

Integration of maintenance and production strategies under subcontracting constraint: Classification and opportunity

Hafidi¹,

Barkany²,

Mahmoudi³

2017

J. MECH. ENG. SCI.

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“…Using a relatively new simulation package called Simio TM , Chongwatpol and Sharda [21] develop simulation models to examine the benefits of an information visibility-based scheduling rule for job shop manufacturing systems that is based on RFID traceability. Roux et al [22] study the optimization of multi-component preventive maintenance problems. They develop a generic and easyto-understand modeling tool for simulation in order to facilitate the optimization of production and maintenance.…”

Section: Background Of the Researchmentioning

confidence: 99%

Performance and Improvement of Production Line Function Using Computer Simulation (Case Study: An Iron Foundry)

Saidabad¹,

Taghizadeh²

2015

AJCM

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Using the accurate methods and tools for evaluation of function in different areas is of great importance. In recent years, much more studies have been done on the nature and methodology of function evaluation in organizations and its improvement. This study aimed to evaluate and improve the function of production line through computer simulation in one of the iron foundries in Iran. For this purpose, at first data has been gathered on the basis of timing with chronometer for each one of the production line machineries and using this data, distribution functions governing the activity cycle of each one of these machineries have been determined; and then, using the required gathered data for computer simulation (taking the advantage of "ED" simulation software), a model was simulated to introduce the current situation of production line and the validity of simulated model was measured on the basis of production rate. And then, considering the criteria such as the production rate, average waiting time, machine utilization coefficient, production yield, production cost, production income and the production time production line function was evaluated. Finally, applying amendment changes on the simulated model improved model was offered.

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“…According to the condition of a machine after maintenance in a repairable system, maintenance can be classified into three types [19,12]. (1) Perfect maintenance.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the current models based on the assumption that the preventive maintenance is perfect [9,18,5]. Pham and Wang [19] pointed out not all the machines or systems can be restored to "as good as new" status after maintenance, some actions just make them younger. Moreover, not all the damage is thoroughly recovered [1,16].…”

Section: Introductionmentioning

confidence: 99%

An integrated model of production scheduling and maintenance planning under imperfect preventive maintenance

Chen¹,

Xiao²,

Zhang³

et al. 2015

Eksploatacja i Niezawodnosc - Maintenance and Reliability

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Optimization of preventive maintenance through a combined maintenance-production simulation model

Cited by 42 publications

References 15 publications

Integration of maintenance and production strategies under subcontracting constraint: Classification and opportunity

Integration of maintenance and production strategies under subcontracting constraint: Classification and opportunity

Performance and Improvement of Production Line Function Using Computer Simulation (Case Study: An Iron Foundry)

An integrated model of production scheduling and maintenance planning under imperfect preventive maintenance

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