Energy-efficient optimization of Flexible Job Shop Scheduling and Preventive Maintenance

Mirahmadi, Nasim; Taghipour, Sharareh

doi:10.1109/rams.2019.8768908

Cited by 2 publications

(1 citation statement)

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“…The number of operations for each job, processing time of each operation, and other features of this example are given in Table 4.1, 4.2, and 4.3. This case study is an extension to our problem solved in Mirahmadi and Taghipour (2019).…”

Section: The Test Problemmentioning

confidence: 99%

Energy-aware flexible job shop scheduling problem and preventive maintenance under the limited resource constraints

Mirahmadi¹

2022

Preprint

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<p>This thesis presents the development of a novel model for solving the flexible job shop scheduling problem with maintenance activities where maintenance activities are limited by a maintenance crew constraint. Moreover, in order to extend it in terms of energy consumption, the cost of energy usage associated with different states of the machines is considered in the objective function. The objective is to minimize the total cost of hiring repairmen, energy consumption, and tardiness penalties. We assume the production machines in this environment may break down which causes the unavailability of the machines for the production. In the maintenance phase, a threshold-based maintenance strategy is applied based on the obtained optimal replacement age of each machine. Accordingly, the required maintenance action is divided into two categories: minimal repair or replacement activities. Furthermore, opportunistic maintenance is considered in the scheduling to minimize the required number of repairmen to be hired. In fact, the main aims are to find the optimal machine assignment and operation sequence, to determine if preventive maintenance is required to be executed between two consecutive operations, and to specify the optimal number of maintenance crew to be hired for the shop floor to minimize the expected total cost.</p>

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Section: The Test Problemmentioning

confidence: 99%