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https://doi.org/10.17559/TV-20210216132702

Determining the Minimum Waiting Times in a Hybrid Flow Shop Using Simulation-Optimization Approach

David Ištoković*   ORCID icon orcid.org/0000-0001-9539-0619 ; Faculty of Engineering, Vukovarska 58, HR-51000 Rijeka, Croatia
Mladen Perinić ; Faculty of Engineering, Vukovarska 58, HR-51000 Rijeka, Croatia
Andrej Borić ; Faculty of Engineering, Vukovarska 58, HR-51000 Rijeka, Croatia

Puni tekst: engleski, pdf (1 MB) str. 568-575 preuzimanja: 26* citiraj
APA 6th Edition
Ištoković*, D., Perinić, M. i Borić, A. (2021). Determining the Minimum Waiting Times in a Hybrid Flow Shop Using Simulation-Optimization Approach. Tehnički vjesnik, 28 (2), 568-575. https://doi.org/10.17559/TV-20210216132702
MLA 8th Edition
Ištoković*, David, et al. "Determining the Minimum Waiting Times in a Hybrid Flow Shop Using Simulation-Optimization Approach." Tehnički vjesnik, vol. 28, br. 2, 2021, str. 568-575. https://doi.org/10.17559/TV-20210216132702. Citirano 12.05.2021.
Chicago 17th Edition
Ištoković*, David, Mladen Perinić i Andrej Borić. "Determining the Minimum Waiting Times in a Hybrid Flow Shop Using Simulation-Optimization Approach." Tehnički vjesnik 28, br. 2 (2021): 568-575. https://doi.org/10.17559/TV-20210216132702
Harvard
Ištoković*, D., Perinić, M., i Borić, A. (2021). 'Determining the Minimum Waiting Times in a Hybrid Flow Shop Using Simulation-Optimization Approach', Tehnički vjesnik, 28(2), str. 568-575. https://doi.org/10.17559/TV-20210216132702
Vancouver
Ištoković* D, Perinić M, Borić A. Determining the Minimum Waiting Times in a Hybrid Flow Shop Using Simulation-Optimization Approach. Tehnički vjesnik [Internet]. 2021 [pristupljeno 12.05.2021.];28(2):568-575. https://doi.org/10.17559/TV-20210216132702
IEEE
D. Ištoković*, M. Perinić i A. Borić, "Determining the Minimum Waiting Times in a Hybrid Flow Shop Using Simulation-Optimization Approach", Tehnički vjesnik, vol.28, br. 2, str. 568-575, 2021. [Online]. https://doi.org/10.17559/TV-20210216132702

Sažetak
Planning the order and size of batches is an extremely complex task especially if these tasks are related to production companies in a real environment. This research deals with the problem of determining the entry order and size of product batches in order to optimize inter-operational waits, in the form of waiting in queues for processing and waiting due to the setting-up of the workplace. In real environment, these waits represent a large share of the time spent in the production of a unit of product in a hybrid flow shop. This problem is almost impossible to be solved with analytical models because they may require many simplifying assumptions. Therefore, a simulation-optimization approach is used to solve this problem. Discrete event simulation allows greater flexibility in the representation of the real production system, while the integrated optimization tool, a genetic algorithm, serves to find the optimal solution relatively quickly. To ensure simpler production management, batch size is defined as a fixed value with the exception of a different first or last batch which represents the difference to the required production volume. Therefore, two optimization cases are presented in the paper. Although both cases show improvements, the case when a different batch is the first batch shows better results. In that case, the share of setup time in the total production time of the product unit was reduced from 4% to 3%, and the share of waiting time in the queue for processing was reduced from 76% to 32%.

Ključne riječi
batch size; discrete event simulation; genetic algorithms; hybrid flow shop; scheduling; waiting time

Hrčak ID: 255827

URI
https://hrcak.srce.hr/255827

Posjeta: 61 *