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Issue title: Selected papers from the 9th International Multi-Conference on Engineering and Technology Innovation 2019 (IMETI2019)
Guest editors: Wen-Hsiang Hsieh
Article type: Research Article
Authors: Hsieh, Yi-Chiha | You, Peng-Shengb; *
Affiliations: [a] Department of Industrial Management, National Formosa University, Yunlin, Taiwan | [b] Department of Business Administration, National ChiaYi University, Chia-Yi, Taiwan
Correspondence: [*] Corresponding author. Peng-Sheng You, Department of Business Administration, National ChiaYi University, Chia-Yi, Taiwan. E-mail: [email protected].
Abstract: In this study, we investigate a new multi-maintenance with sequential operation (MMSO) problem, in which a variety of tasks must be processed on multiple machines. In the MMSO problem, each task has multiple sequential operations that must be processed for each machine. In addition to maintenance, the MMSO problem has many other practical applications, such as physical examination scheduling. The proposed MMSO, which is an NP-hard problem, generalizes typical job shop scheduling problems. Thus, a novel encoding scheme, which is embedded into an immune-based algorithm (IBA), is proposed in this study to convert any sequence of random numbers into a feasible solution of the MMSO problem to solve the MMSO problem. Numerical results of applications in aircraft maintenance and physical examination scheduling are reported and compared with those of particle swarm optimization and genetic algorithm. Experimental results show that IBA outperforms the two other algorithms.
Keywords: Scheduling, maintenance, sequential operations, immune-based algorithm, optimization
DOI: 10.3233/JIFS-189590
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7701-7710, 2021
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