In EDS ansehen

A simulation-based dynamic scheduling and dispatching system with multi-criteria performance evaluation for Industry 3.5 and an empirical study for sustainable TFT-LCD array manufacturing.

Gespeichert in:
Bibliographische Detailangaben
Titel: A simulation-based dynamic scheduling and dispatching system with multi-criteria performance evaluation for Industry 3.5 and an empirical study for sustainable TFT-LCD array manufacturing.
Autoren: Hong, Tzu-Yen1,2 (AUTHOR), Chien, Chen-Fu1,2 (AUTHOR) cfchien@mx.nthu.edu.tw
Quelle: International Journal of Production Research. Dec2020, Vol. 58 Issue 24, p7531-7547. 17p. 7 Diagrams, 7 Charts, 1 Graph.
Schlagwörter: *PRODUCT life cycle, *MULTIPLE criteria decision making, *DECISION making, *REMANUFACTURING, DISCRETE event simulation, GENETIC algorithms, DISCRETE systems
Abstract: As the existing manufacturing systems may not be ready to support flexible decisions for smart production with increasing product mix and shortening product life cycle, it is crucial to rapidly respond to dynamic needs to improve bottleneck productivity and ensure the throughput of the whole manufacturing system. Limitations of the existing approaches can be traced in part to the lack of a framework within which different decisions in real settings can be integrated and aligned in light of the changes of manufacturing contexts. To fill the gaps, this study aims to develop a dynamic scheduling and dispatching system with the constructed discrete event simulation model to optimise the scheduling for bottleneck and associated dispatching rules for remaining processes, while considering the manufacturing system as a whole to empower smart manufacturing and reduce waste for sustainable production. A hybrid genetic algorithm is developed to minimise photolithography capacity loss, while considering the waiting time constraints and determining the optimal dispatching rules for non-bottleneck workstations by the design of experiments and multi-criteria decision analysis to integrate related decisions for the manufacturing system as a whole. An empirical study was conducted for validation. The results have shown its practical viability. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Datenbank: Business Source Index
Beschreibung
Abstract:As the existing manufacturing systems may not be ready to support flexible decisions for smart production with increasing product mix and shortening product life cycle, it is crucial to rapidly respond to dynamic needs to improve bottleneck productivity and ensure the throughput of the whole manufacturing system. Limitations of the existing approaches can be traced in part to the lack of a framework within which different decisions in real settings can be integrated and aligned in light of the changes of manufacturing contexts. To fill the gaps, this study aims to develop a dynamic scheduling and dispatching system with the constructed discrete event simulation model to optimise the scheduling for bottleneck and associated dispatching rules for remaining processes, while considering the manufacturing system as a whole to empower smart manufacturing and reduce waste for sustainable production. A hybrid genetic algorithm is developed to minimise photolithography capacity loss, while considering the waiting time constraints and determining the optimal dispatching rules for non-bottleneck workstations by the design of experiments and multi-criteria decision analysis to integrate related decisions for the manufacturing system as a whole. An empirical study was conducted for validation. The results have shown its practical viability. [ABSTRACT FROM AUTHOR]
ISSN:00207543
DOI:10.1080/00207543.2020.1777342