Search

Maintenance operations refer to the set of activities required to replace a component, or a group of components subjected to wear and tear in a system, asset or machine. Among such maintenance operations, preventive maintenance plays an important role for its proactive effect on the serviceability of components in a system. Scheduling of preventive maintenance is a critical operation in maintenance and reliability engineering which helps construct proactive programs to improve the operating condition of assets and extend their service life. In its general settings, the partners of asset include (i) the asset vendor (ii) the asset user and (iii) the service maintenance provider. While such assumptions focus on durability, however, they do not guarantee cost optimal solutions. In contrast to the above assumptions, the aim of this study is to present an original Mixed Integer Linear Programming model (MILP) of costbased scheduling. Here, different resources and reliability functions will be considered in the model. The model also tends to reduce the overall cost function of spare parts contributions, the cost of implementing preventive measures and the cost of additional repair activities considering the staff efficiency that is monitored and controlled using latest efficient technology. The study will present a detailed solution and discussion of the model and the related decision variables. Comparisons between the existing schedules and the proposed ones may be considered along with targeted sensitivity analysis. [ABSTRACT FROM AUTHOR]

Maintenance operations refer to the set of activities required to replace a component, or a group of components subjected to wear and tear in a system, asset or machine. Among such maintenance operations, preventive maintenance plays an important role for its proactive effect on the serviceability of components in a system. Scheduling of preventive maintenance is a critical operation in maintenance and reliability engineering which helps construct proactive programs to improve the operating condition of assets and extend their service life. In its general settings, the partners of asset include (i) the asset vendor (ii) the asset user and (iii) the service maintenance provider. While such assumptions focus on durability, however, they do not guarantee cost optimal solutions. In contrast to the above assumptions, the aim of this study is to present an original Mixed Integer Linear Programming model (MILP) of costbased scheduling. Here, different resources and reliability functions will be considered in the model. The model also tends to reduce the overall cost function of spare parts contributions, the cost of implementing preventive measures and the cost of additional repair activities considering the staff efficiency that is monitored and controlled using latest efficient technology. The study will present a detailed solution and discussion of the model and the related decision variables. Comparisons between the existing schedules and the proposed ones may be considered along with targeted sensitivity analysis. [ABSTRACT FROM AUTHOR]