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Pregled bibliografske jedinice broj: 1098826

Minimizing Total Production Cost in a Hybrid Flow Shop: a Simulation-Optimization Approach


Ištoković, David; Perinić, Mladen; Vlatković, Maja; Brezočnik, Miran
Minimizing Total Production Cost in a Hybrid Flow Shop: a Simulation-Optimization Approach // International Journal of Simulation Modelling, 19 (2020), 4; 559-570 doi:10.2507/ijsimm19-4-525 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1098826 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Minimizing Total Production Cost in a Hybrid Flow Shop: a Simulation-Optimization Approach

Autori
Ištoković, David ; Perinić, Mladen ; Vlatković, Maja ; Brezočnik, Miran

Izvornik
International Journal of Simulation Modelling (1726-4529) 19 (2020), 4; 559-570

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

Ključne riječi
Hybrid Flow Shop, Batching, Batch Scheduling, Production Cost, Discrete Event Simulation, Genetic Algorithm

Sažetak
To ensure the competitiveness of manufacturing companies in the market, batching and batch scheduling are among the most important tasks. This paper presents a simulation-optimization approach that combines the discrete event simulation (DES) and the genetic algorithm (GA) to solve the batching and batch scheduling problem in a hybrid flow shop (HFS). HFS is widely used for the production of medium and large quantities of different technologically complex products. Based on a real-world manufacturing company, the HFS simulation model was developed using the Tecnomatix Plant Simulation software package. By analysing the influencing factors that represent production costs, a new formulation of the total cost of production was proposed. The purpose of this case study was to ensure timely delivery and minimize production costs by integrating simulation and optimization tools. This research considers sequence-dependent setup times, and availability of manufacturing and transportation equipment. The results of this research showed that the proposed simulation- optimization approach can be applied to solve the problem in many industrial case studies.

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 ) ( POIROT)
NadSve-Sveučilište u Rijeci-uniri-tehnic-18-100 - Primjena tehnologija inkrementalnog oblikovanja u individualnoj proizvodnji izradaka iz naprednih polimernih materijala (Jurković, Zoran, NadSve ) ( POIROT)
NadSve-Sveučilište u Rijeci-uniri-tehnic-18-33 - Razvoj metodologije projektiranja i postupka umjeravanja rekonfigurabilnog mjernog sustava (Pavletić, Duško, NadSve - Projekti Sveučilišta u Rijeci) ( POIROT)

Ustanove:
Tehnički fakultet, Rijeka

Profili:

Avatar Url Maja Vlatković (autor)

Avatar Url Mladen Perinić (autor)

Avatar Url David Ištoković (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Ištoković, David; Perinić, Mladen; Vlatković, Maja; Brezočnik, Miran
Minimizing Total Production Cost in a Hybrid Flow Shop: a Simulation-Optimization Approach // International Journal of Simulation Modelling, 19 (2020), 4; 559-570 doi:10.2507/ijsimm19-4-525 (međunarodna recenzija, članak, znanstveni)
Ištoković, D., Perinić, M., Vlatković, M. & Brezočnik, M. (2020) Minimizing Total Production Cost in a Hybrid Flow Shop: a Simulation-Optimization Approach. International Journal of Simulation Modelling, 19 (4), 559-570 doi:10.2507/ijsimm19-4-525.
@article{article, author = {I\v{s}tokovi\'{c}, David and Perini\'{c}, Mladen and Vlatkovi\'{c}, Maja and Brezo\v{c}nik, Miran}, year = {2020}, pages = {559-570}, DOI = {10.2507/ijsimm19-4-525}, keywords = {Hybrid Flow Shop, Batching, Batch Scheduling, Production Cost, Discrete Event Simulation, Genetic Algorithm}, journal = {International Journal of Simulation Modelling}, doi = {10.2507/ijsimm19-4-525}, volume = {19}, number = {4}, issn = {1726-4529}, title = {Minimizing Total Production Cost in a Hybrid Flow Shop: a Simulation-Optimization Approach}, keyword = {Hybrid Flow Shop, Batching, Batch Scheduling, Production Cost, Discrete Event Simulation, Genetic Algorithm} }
@article{article, author = {I\v{s}tokovi\'{c}, David and Perini\'{c}, Mladen and Vlatkovi\'{c}, Maja and Brezo\v{c}nik, Miran}, year = {2020}, pages = {559-570}, DOI = {10.2507/ijsimm19-4-525}, keywords = {Hybrid Flow Shop, Batching, Batch Scheduling, Production Cost, Discrete Event Simulation, Genetic Algorithm}, journal = {International Journal of Simulation Modelling}, doi = {10.2507/ijsimm19-4-525}, volume = {19}, number = {4}, issn = {1726-4529}, title = {Minimizing Total Production Cost in a Hybrid Flow Shop: a Simulation-Optimization Approach}, keyword = {Hybrid Flow Shop, Batching, Batch Scheduling, Production Cost, Discrete Event Simulation, Genetic Algorithm} }

Časopis indeksira:


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


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