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

Son Duy Dao (), Kazem Abhary and Romeo Marian
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Son Duy Dao: University of South Australia
Kazem Abhary: University of South Australia
Romeo Marian: University of South Australia

Operational Research, 2020, vol. 20, issue 3, No 6, 1289-1320

Abstract: Abstract 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.

Keywords: Virtual computer-integrated manufacturing; Manufacturing scheduling; Collaborative transportation scheduling; Genetic algorithm optimisation (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s12351-018-0374-5

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