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Unrelated Parallel-Machine Scheduling with Maintenance Activities and Rejection Penalties for Minimizing Total Cost
Author(s) -
Xiaona Yang,
Peng Can,
Jin Lei,
Qiangyi Li
Publication year - 2019
Publication title -
international journal of automation technology
Language(s) - English
Resource type - Journals
eISSN - 1883-8022
pISSN - 1881-7629
DOI - 10.20965/ijat.2019.p0787
Subject(s) - scheduling (production processes) , mathematical optimization , computer science , optimal maintenance , job shop scheduling , upper and lower bounds , reliability engineering , schedule , mathematics , engineering , mathematical analysis , operating system
During the production process, regular maintenance is necessary and important to maintain high efficiency, because machines inevitably fail with increasing use. However, certain tasks are often neglected due to time and budget constraints, and other factors. In this regard, we propose the unrelated parallel-machine scheduling problem with maintenance and rejection penalties, wherein the ultimate objective is to minimize total cost while identifying the optimal maintenance frequencies, optimal maintenance positions, set of rejected jobs, and optimal scheduled job sequence. Considering resource constraints, the maintenance cost is controlled by the upper bound of the total maintenance frequency. Based on these factors, the optimal polynomial-time solution and its computational complexity with a fixed number of machines are presented. As an illustrative example, it was determined that the scheduling method proposed in this report is effective and practical.

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