In this paper, we consider a flow shop scheduling problem with availability constraints (FSSPAC) for the objective of minimizing the makespan. In such a problem, machines are not continuously available for processing jobs due to preventive maintenance activities. We proposed a mixed-integer linear programming (MILP) model for this problem which can generate non-permutation schedules. Furthermor...

In recent years, integration of production scheduling and machine maintenance has gained increasing attention in order to improve the stability efficiency flowshop manufacturing systems. This paper proposes a Q-learning-based aquila optimizer (QL-AO) for solving integrated optimization problem blocking preventive since jobs processing requires be considered practice environments. proposed algor...

The Alarm Processing System reference model for large-scale railway maintenance equipment diesel engine combustion control, which is based on multi-agent, is an important system for high speed and automation. Alarm Processing System are vital aspects in M large-scale railway maintenance equipment diesel engine combustion control, in this sense, alarm processing system should support decision-ma...

The unrelated parallel machine scheduling problem (UPMSP) is a typical production with certain symmetries on machines. Additional resources and preventive maintenance (PM) extensively exist machines; however, UPMSP additional PM has been scarcely investigated. Adaptive competition also seldom implemented in the artificial bee colony algorithm for scheduling. In this study, investigated, which A...

A common situation arising in flow shops is that the job processing order must be same on each machine; this referred to as a permutation shop scheduling problem (PFSSP). Although many algorithms have been designed solve PFSSPs, machine availability typically ignored. Healthy conditions are essential for production process, which can ensure productivity and quality; thus, deteriorating effects ...