Comparative study of two scheduling approaches to resolve scheduling problem for a wire and cable manufacturing process

Comparative study of two scheduling approaches to resolve scheduling problem for a wire and cable manufacturing process

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This paper addresses the scheduling problem of a complex manufacturing environment. Two approaches are investigated—autonomous scheduling and genetic algorithms-based multi-objective optimisation. Both approaches are compared based on computational time required, re-scheduling frequency, and the quality of the generated schedule. Results analysis demonstrates that autonomous scheduling provides better quality solutions in shorter time than a genetic algorithms-based approach. The proposed algorithms have been verified by case study.

SKU: P05610 Category:

Description

This paper addresses the scheduling problem of a complex manufacturing environment. Two approaches are investigated—autonomous scheduling and genetic algorithms-based multi-objective optimisation. Both approaches are compared based on computational time required, re-scheduling frequency, and the quality of the generated schedule. Results analysis demonstrates that autonomous scheduling provides better quality solutions in shorter time than a genetic algorithms-based approach. The proposed algorithms have been verified by case study.

Additional information

Author(s)

Parminder Singh Kang, De Montfort University, UK; Alexandre Erhart and Victor Todeschini, NEO Industrial Engineering, Brazil; and Alistair Duffy, De Montfort University, UK
Publication/Event/Pages

Düsseldorf ITC
Year

2015

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