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Game theory based real-time shop floor scheduling strategy and method for cloud manufacturing
Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Shaanxi, 710072, China.
2017 (English)In: International Journal of Intelligent Systems, ISSN 0884-8173, E-ISSN 1098-111X, Vol. 32, no 4, p. 437-463Article in journal (Refereed) Published
Abstract [en]

With the rapid advancement and widespread application of information and sensor technologies in manufacturing shop floor, the typical challenges that cloud manufacturing is facing are the lack of real‐time, accurate, and value‐added manufacturing information, the efficient shop floor scheduling strategy, and the method based on the real‐time data. To achieve the real‐time data‐driven optimization decision, a dynamic optimization model for flexible job shop scheduling based on game theory is put forward to provide a new real‐time scheduling strategy and method. Contrast to the traditional scheduling strategy, each machine is an active entity that will request the processing tasks. Then, the processing tasks will be assigned to the optimal machines according to their real‐time status by using game theory. The key technologies such as game theory mathematical model construction, Nash equilibrium solution, and optimization strategy for process tasks are designed and developed to implement the dynamic optimization model. A case study is presented to demonstrate the efficiency of the proposed strategy and method, and real‐time scheduling for four kinds of exceptions is also discussed.

Place, publisher, year, edition, pages
John Wiley & Sons, 2017. Vol. 32, no 4, p. 437-463
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-253510DOI: 10.1002/int.21868ISI: 000394896500007Scopus ID: 2-s2.0-84995610393OAI: oai:DiVA.org:kth-253510DiVA, id: diva2:1325433
Note

QC 20190617

Available from: 2019-06-15 Created: 2019-06-15 Last updated: 2019-06-17Bibliographically approved

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Liu, Sichao

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