Tabu search and genetic algorithm in rims production process assignment

Author:

Burduk Anna1,Bocewicz Grzegorz2,Łampika Łukasz3,Łapczyńska Dagmara4,Musiał Kamil5

Affiliation:

1. Wroclaw University of Science and Technology , Faculty of Mechanical Engineering, Wybrzeze Wyspianskiego 27 st, 50-370 Wroclaw, Poland , anna.burduk@pwr.edu.pl

2. Koszalin University of Technology , Faculty of Electronics and Computer Science, Śniadeckich 2 st, 75-453 Koszalin, Poland , grzegorz.bocewicz@tu.koszalin.pl

3. Wroclaw University of Science and Technology , Faculty of Mechanical Engineering, Wybrzeze Wyspianskiego 27 st, 50-370 Wroclaw, Poland , lukasz.lampika@pwr.edu.pl

4. Wroclaw University of Science and Technology , Faculty of Mechanical Engineering, Wybrzeze Wyspianskiego 27 st, 50-370 Wroclaw, Poland , dagmara.lapczynska@pwr.edu.pl

5. Wroclaw University of Science and Technology , Faculty of Mechanical Engineering, Wybrzeze Wyspianskiego 27 st, 50-370 Wroclaw, Poland , kamil.musial@pwr.edu.pl

Abstract

Abstract The paper discusses the problem of assignment production resources in executing a production order on the example of the car rims manufacturing process. The more resources are involved in implementing the manufacturing process and the more they can be used interchangeably, the more complex and problematic the scheduling process becomes. Special attention is paid to the effective scheduling and assignment of rim machining operations to production stations in the considered manufacturing process. In this case, the use of traditional scheduling methods based on simple calculations, or the know-how of process engineers often turns out to be insufficient to achieve the intended results. Due to the scale of the problems faced in practice, the methods based on approximate approaches (Genetic and Tabu Search) were used to solve them. In this perspective, the problem under consideration involves the extension of the classic assignment problem with the possibility of taking into account: the times of operations, potential changeovers and the capacity of production resources.

Publisher

Oxford University Press (OUP)

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