An innovative GA for optimisation of integrated manufacturing–transportation scheduling in VCIM systems

Virtual computer-integrated manufacturing (VCIM) is a new manufacturing concept aimed at exploiting distributed manufacturing resources, both locally as well as globally. Recently, an innovative model for resource scheduling in VCIM systems, in which manufacturing scheduling and collaborative transp...

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Bibliographic Details
Published in:Operational research 2020-09, Vol.20 (3), p.1289-1320
Main Authors: Dao, Son Duy, Abhary, Kazem, Marian, Romeo
Format: Article
Language:English
Subjects:
Business and Management
Case studies
Computational Intelligence
Computer integrated manufacturing
Genetic algorithms
Management Science
Manufacturing
Operations Research
Operations Research/Decision Theory
Optimization
Original Paper
Production planning
Resource scheduling
Scheduling
Solvers
Transportation
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Summary:Virtual computer-integrated manufacturing (VCIM) is a new manufacturing concept aimed at exploiting distributed manufacturing resources, both locally as well as globally. Recently, an innovative model for resource scheduling in VCIM systems, in which manufacturing scheduling and collaborative transportation scheduling are integrated together, has been proposed. In this paper, an innovative global optimisation method based on genetic algorithm (GA) is developed to optimise the integrated manufacturing–transportation scheduling problem recently raised in VCIM literature. The proposed GA with unique chromosome representation, modified genetic operators, and novel algorithm structure is capable of searching for the global optimal solution with very high success rate. The results achieved from 10 instances of a comprehensive case study have confirmed that the proposed GA outperforms three popular commercial optimisation solvers.
ISSN:1109-2858
1866-1505
DOI:10.1007/s12351-018-0374-5