Research of an integrated decision model for production scheduling and maintenance planning with economic objective

Ao, Yinhui; Zhang, Huiping; Wang, Cuifen

doi:10.1016/j.cie.2019.106092

Cited by 28 publications

(12 citation statements)

References 29 publications

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“…Production will increase the failure rate of equipment and affect the established maintenance strategy. Conversely, unreasonable maintenance decisions will also increase maintenance difficulty and production cost [4], [5]. Production plan and maintenance influence and restrict each other, and…”

Section: Introductionmentioning

confidence: 99%

Joint Decision-Making Model for Production Planning and Maintenance of Fully Mechanized Mining Equipment

Cao

Yong

2021

IEEE Access

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With the development of complex and intelligent sizeable mechanical equipment, the conflict between maintenance and production is becoming increasingly severe, restricting coal mine enterprises' production and development. This paper proposes a joint decision-making model for production planning and maintenance of fully mechanized mining equipment to solve the conflict between production and maintenance. Taking fully mechanized mining equipment as the research object and minimizing the total cost as the joint decision-making objective, we use the Hybrid Genetic Whale Optimization Algorithm (HGWOA) to optimize the production planning and maintenance process of fully mechanized mining equipment. We compared the joint decision-making model of production planning and maintenance with the independent decision-making model by setting different parameters. The result shows that the joint decision-making model reduces the cost by 36.06% and the downtime rate by 40.76%. It can better balance maintenance and production, which is of great significance to the coal mine and related enterprises. INDEX TERMS Fully mechanized mining equipment, predictive opportunity maintenance, production planning, joint decision-making, hybrid genetic whale optimization algorithm.

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Section: Introductionmentioning

confidence: 99%

Joint Decision-Making Model for Production Planning and Maintenance of Fully Mechanized Mining Equipment

Cao

Yong

2021

IEEE Access

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“…Therefore, appropriate strategies must be developed to minimize interference and balance the interaction among production planning, quality control, and maintenance activities. 22,23 To fill the above gap, it is necessary to combine maintenance activities, production planning and production scheduling, and handle multiple targets with conflicting properties. Mission reliability oriented maintenance activities include functional corrective maintenance (CM) and effective age based preventive maintenance (PM).…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, appropriate strategies must be developed to minimize interference and balance the interaction among production planning, quality control, and maintenance activities. 22,23…”

Section: Introductionmentioning

confidence: 99%

Mission reliability-oriented integrated scheduling optimization model by combining production planning and maintenance activities

Chen

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part B:

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Machine utilization and production efficiency of manufacturing systems can be effectively improved through reasonable production scheduling. Traditionally, production scheduling and maintenance planning are considered as two independent issues, but it may lead to a suboptimal solution that is unable to maximize the productivity of the manufacturing system. Therefore, a mission reliability-oriented integrated scheduling model that considers production planning and maintenance activities is proposed. Firstly, the mission reliability that takes into account product type and equipment performance is defined to characterize production rhythm. Secondly, the maintenance strategy based on machine degradation cumulative failure and stochastic failure is proposed to guarantee the mission reliability of the machine effectively. Thirdly, an integrated scheduling model is established with the goal of minimizing total operational time, and Genetic algorithm is tailored to find the best production scheduling plan. Finally, a case study and comparative study of the cylinder head manufacturing system are presented to demonstrate the effectiveness of the proposed method. Results show that the proposed method is more suitable for production practice than the previous production scheduling strategy.

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“…Exact solution methods such as Branch-and-Bound (BB) for integer and mixed-integer programming models, and Generalized Reduced Gradient (GRG2) algorithm for nonlinear programming models have been employed in the literature mostly for single-machine models or for smallscale multi-machine situations (Cassady and Kutanoglu, 2003;Aghezzaf et al, 2007;Aghezzaf and Najid, 2008;Nourelfath and Chatelet, 2012;Portioli-Staudacher and Tantardini, 2012;Bajestani et al, 2014;Yalaoui et al, 2014;Kumar and Lad, 2017;Ao et al, 2019;and Polotski et al, 2019). It has been reported that most integrated production and maintenance scheduling problems, with availability constraints, under different machine configurations and various objective functions are NP-hard problems (Kubiak et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

A Multi-Objective Modeling Approach for Integrated Manufacturing and Preventive Maintenance Planning

Moghaddam

2020

OSCM: An Int. Journal

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Research of an integrated decision model for production scheduling and maintenance planning with economic objective

Cited by 28 publications

References 29 publications

Joint Decision-Making Model for Production Planning and Maintenance of Fully Mechanized Mining Equipment

Joint Decision-Making Model for Production Planning and Maintenance of Fully Mechanized Mining Equipment

Mission reliability-oriented integrated scheduling optimization model by combining production planning and maintenance activities

A Multi-Objective Modeling Approach for Integrated Manufacturing and Preventive Maintenance Planning

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