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Pregled bibliografske jedinice broj: 1012669

Simulation framework for determining the order and size of the product batches in the flow shop: A case study


Ištoković, David; Perinić, Mladen; Doboviček, Sandro; Bazina, Tomislav
Simulation framework for determining the order and size of the product batches in the flow shop: A case study // Advances in production engineering & management, 14 (2019), 2; 166-176 doi:10.14743/apem2019.2.319 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1012669 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Simulation framework for determining the order and size of the product batches in the flow shop: A case study

Autori
Ištoković, David ; Perinić, Mladen ; Doboviček, Sandro ; Bazina, Tomislav

Izvornik
Advances in production engineering & management (1854-6250) 14 (2019), 2; 166-176

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

Ključne riječi
Process planning ; Flow shop ; Sequence-dependent setup time ; Batch scheduling ; Discrete event simulation ; Genetic algorithm (GA)

Sažetak
The problems of determining the order and size of the product batches in the flow shop with multiple processors (FSMP) and sequence dependent setup times are among the most difficult manufacturing planning tasks. In today's environment, where necessity for survival in the market is to deliver the goods in time, it is crucial to optimize production plans. Inspired by real sector manufacturing system, this paper demonstrates the discrete event simulation (DES) supported by the genetic algorithm (GA) optimization tool. The main aim is to develop the simulation framework as a support for the daily planning of manufacturing with emphasis on determining the size and entry order of the product batches within specific requirements. Procedures are developed within the genetic algorithm, which are implemented in Tecnomatix Plant Simulation software package. A genetic algorithm was used to optimize mean flow time (MFT) and total setup time (TST) performance measures. Primary constraint for on-time delivery was imposed on the model. The research results show that solutions are industrially applicable and provide accurate information on the batch size of the defined products, as well as a detailed schedule and timing of entry into the observed system. Display of the solution, in a simple and concise manner, serves as a tool for manufacturing operations planning.

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)

Ustanove:
Tehnički fakultet, Rijeka

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Ištoković, David; Perinić, Mladen; Doboviček, Sandro; Bazina, Tomislav
Simulation framework for determining the order and size of the product batches in the flow shop: A case study // Advances in production engineering & management, 14 (2019), 2; 166-176 doi:10.14743/apem2019.2.319 (međunarodna recenzija, članak, znanstveni)
Ištoković, D., Perinić, M., Doboviček, S. & Bazina, T. (2019) Simulation framework for determining the order and size of the product batches in the flow shop: A case study. Advances in production engineering & management, 14 (2), 166-176 doi:10.14743/apem2019.2.319.
@article{article, author = {I\v{s}tokovi\'{c}, David and Perini\'{c}, Mladen and Dobovi\v{c}ek, Sandro and Bazina, Tomislav}, year = {2019}, pages = {166-176}, DOI = {10.14743/apem2019.2.319}, keywords = {Process planning, Flow shop, Sequence-dependent setup time, Batch scheduling, Discrete event simulation, Genetic algorithm (GA)}, journal = {Advances in production engineering and management}, doi = {10.14743/apem2019.2.319}, volume = {14}, number = {2}, issn = {1854-6250}, title = {Simulation framework for determining the order and size of the product batches in the flow shop: A case study}, keyword = {Process planning, Flow shop, Sequence-dependent setup time, Batch scheduling, Discrete event simulation, Genetic algorithm (GA)} }
@article{article, author = {I\v{s}tokovi\'{c}, David and Perini\'{c}, Mladen and Dobovi\v{c}ek, Sandro and Bazina, Tomislav}, year = {2019}, pages = {166-176}, DOI = {10.14743/apem2019.2.319}, keywords = {Process planning, Flow shop, Sequence-dependent setup time, Batch scheduling, Discrete event simulation, Genetic algorithm (GA)}, journal = {Advances in production engineering and management}, doi = {10.14743/apem2019.2.319}, volume = {14}, number = {2}, issn = {1854-6250}, title = {Simulation framework for determining the order and size of the product batches in the flow shop: A case study}, keyword = {Process planning, Flow shop, Sequence-dependent setup time, Batch scheduling, Discrete event simulation, Genetic algorithm (GA)} }

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


Citati:





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