Multiobjective Real-Time Scheduling of Tasks in Cloud Manufacturing with Genetic Algorithm
- Title
- Multiobjective Real-Time Scheduling of Tasks in Cloud Manufacturing with Genetic Algorithm
- Author
- 허선
- Issue Date
- 2021-02
- Publisher
- HINDAWI LTD
- Citation
- MATHEMATICAL PROBLEMS IN ENGINEERING, v. 2021, Article no. 1305849, 10pp
- Abstract
- In cloud manufacturing, customers register customized requirements, and manufacturers provide appropriate services to complete the task. A cloud manufacturing manager establishes manufacturing schedules that determine the service provision time in a real-time manner as the requirements are registered in real time. In addition, customer satisfaction is affected by various measures such as cost, quality, tardiness, and reliability. Thus, multiobjective and real-time scheduling of tasks is important to operate cloud manufacturing effectively. In this paper, we establish a mathematical model to minimize tardiness, cost, quality, and reliability. Additionally, we propose an approach to solve the mathematical model in a real-time manner using a multiobjective genetic algorithm that includes chromosome representation, fitness function, and genetic operators. From the experimental results, we verify whether the proposed approach is effective and efficient.
- URI
- https://www.hindawi.com/journals/mpe/2021/1305849/https://repository.hanyang.ac.kr/handle/20.500.11754/166963
- ISSN
- 1024-123X
- DOI
- 10.1155/2021/1305849
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > INDUSTRIAL AND MANAGEMENT ENGINEERING(산업경영공학과) > Articles
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