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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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