Multiobjective Real-Time Scheduling of Tasks in Cloud Manufacturing with Genetic Algorithm
- Authors
- Ahn, Gilseung; Hur, Sun
- Issue Date
- Feb-2021
- Publisher
- HINDAWI LTD
- Citation
- MATHEMATICAL PROBLEMS IN ENGINEERING, v.2021, pp.1 - 10
- Indexed
- SCIE
SCOPUS
- Journal Title
- MATHEMATICAL PROBLEMS IN ENGINEERING
- Volume
- 2021
- Start Page
- 1
- End Page
- 10
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/453
- DOI
- 10.1155/2021/1305849
- ISSN
- 1024-123X
- 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.
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Collections - COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles
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