1. Modeling and evaluating agile assembly systems using mixed-integer linear programming.
- Author
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Burggräf, Peter, Dannapfel, Matthias, Adlon, Tobias, Schukat, Esben, Kahmann, Hannes, and Holtwiesche, Lucian
- Abstract
Agile assembly systems in automotive production are predominantly characterized by decoupled and independent workstations. This raises the question how such assembly systems can be evaluated and compared against the predominantly used assembly lines. Job-shop-problems as a promising formulation do not yet offer a model that covers all the intended degrees of freedom. This research work thus presents an extended job-shop-problem and its validation while considering parallel and multifunctional workstations, sequence-dependent set-up times, routing and sequence flexibility as well as a multivariable objective function. The resulting model based on mixed integer linear programming contributes to the evaluation of agile assembly systems and supports the development of real-time capable algorithms for practical applications. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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