Multi-objective group scheduling optimization integrated with preventive maintenance

ABSTRACT

This article proposes a single-machine-based integration model to meet the requirements of production scheduling and preventive maintenance in group production. To describe the production for identical/similar and different jobs, this integrated model considers the learning and forgetting effects. Based on machine degradation, the deterioration effect is also considered. Moreover, perfect maintenance and minimal repair are adopted in this integrated model. The multi-objective of minimizing total completion time and maintenance cost is taken to meet the dual requirements of delivery date and cost. Finally, a genetic algorithm is developed to solve this optimization model, and the computation results demonstrate that this integrated model is effective and reliable.

KEYWORDS:

• Multi-objective
• group production
• preventive maintenance
• genetic algorithm
• deterioration effect

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The authors would like to thank the National Natural Science Foundation of China [number 71301176] and Research Fund for the Doctoral Program of Higher Education of China [number 20130191120001] for their support.