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Pregled bibliografske jedinice broj: 1123273

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


Ištoković, David; Perinić, Mladen; Borić, Andrej
Determining the Minimum Waiting Times in a Hybrid Flow Shop Using Simulation-Optimization Approach // Tehnicki vjesnik - Technical Gazette, 28 (2021), 2; 568-575 doi:10.17559/tv-20210216132702 (međunarodna recenzija, članak, znanstveni)


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

Autori
Ištoković, David ; Perinić, Mladen ; Borić, Andrej

Izvornik
Tehnicki vjesnik - Technical Gazette (1330-3651) 28 (2021), 2; 568-575

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

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

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%.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Projekti:
NadSve-Sveučilište u Rijeci-uniri-tech-18-223 - Napredne metode simulacije operativne pripreme planiranja proizvodnje (Perinić, Mladen, NadSve ) ( CroRIS)
NadSve-Sveučilište u Rijeci-uniri-tehnic-18-100 - Primjena tehnologija inkrementalnog oblikovanja u individualnoj proizvodnji izradaka iz naprednih polimernih materijala (Jurković, Zoran, NadSve ) ( CroRIS)

Ustanove:
Tehnički fakultet, Rijeka

Profili:

Avatar Url Andrej Borić (autor)

Avatar Url Mladen Perinić (autor)

Avatar Url David Ištoković (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Ištoković, David; Perinić, Mladen; Borić, Andrej
Determining the Minimum Waiting Times in a Hybrid Flow Shop Using Simulation-Optimization Approach // Tehnicki vjesnik - Technical Gazette, 28 (2021), 2; 568-575 doi:10.17559/tv-20210216132702 (međunarodna recenzija, članak, znanstveni)
Ištoković, D., Perinić, M. & Borić, A. (2021) Determining the Minimum Waiting Times in a Hybrid Flow Shop Using Simulation-Optimization Approach. Tehnicki vjesnik - Technical Gazette, 28 (2), 568-575 doi:10.17559/tv-20210216132702.
@article{article, author = {I\v{s}tokovi\'{c}, David and Perini\'{c}, Mladen and Bori\'{c}, Andrej}, year = {2021}, pages = {568-575}, DOI = {10.17559/tv-20210216132702}, keywords = {batch size, discrete event simulation, genetic algorithms, hybrid flow shop, scheduling, waiting time}, journal = {Tehnicki vjesnik - Technical Gazette}, doi = {10.17559/tv-20210216132702}, volume = {28}, number = {2}, issn = {1330-3651}, title = {Determining the Minimum Waiting Times in a Hybrid Flow Shop Using Simulation-Optimization Approach}, keyword = {batch size, discrete event simulation, genetic algorithms, hybrid flow shop, scheduling, waiting time} }
@article{article, author = {I\v{s}tokovi\'{c}, David and Perini\'{c}, Mladen and Bori\'{c}, Andrej}, year = {2021}, pages = {568-575}, DOI = {10.17559/tv-20210216132702}, keywords = {batch size, discrete event simulation, genetic algorithms, hybrid flow shop, scheduling, waiting time}, journal = {Tehnicki vjesnik - Technical Gazette}, doi = {10.17559/tv-20210216132702}, volume = {28}, number = {2}, issn = {1330-3651}, title = {Determining the Minimum Waiting Times in a Hybrid Flow Shop Using Simulation-Optimization Approach}, keyword = {batch size, discrete event simulation, genetic algorithms, hybrid flow shop, scheduling, waiting time} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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