PRACTICAL APPLICATION OF FUZZY LOGIC IN PRODUCTION CONTROL SYSTEMS OF ENGINEER TO ORDER SMES
In this paper the method of improving production control in engineer to order [ETO] small and medium sized enterprises is presented. Briefly, the strategy of Mass Customization [MC] and a concept of the hybrid MC-ETO production system are demonstrated. Thereafter, a method of choosing components for...
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2021-03-01
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doaj-fbe7af5121e44ebe906fb50da045c95e2021-04-12T10:54:52ZengPolish Association for Knowledge PromotionApplied Computer Science1895-37352353-69772021-03-01171172510.23743/acs-2021-02PRACTICAL APPLICATION OF FUZZY LOGIC IN PRODUCTION CONTROL SYSTEMS OF ENGINEER TO ORDER SMESBartosz CIESLA0https://orcid.org/0000-0002-1892-2930Janusz MLECZKO1https://orcid.org/0000-0003-2993-3915University of Bielsko-Biala, Mechanical Engineering and Computer Sciences, Production Engineering Department, b.ciesla@hotmail.comUniversity of Bielsko-Biala, Mechanical Engineering and Computer Sciences, Production Engineering Department, jmleczko@ath.bielsko.plIn this paper the method of improving production control in engineer to order [ETO] small and medium sized enterprises is presented. Briefly, the strategy of Mass Customization [MC] and a concept of the hybrid MC-ETO production system are demonstrated. Thereafter, a method of choosing components for small batch manu-facturing in advance, under conditions of single unit ETO production system, with application of fuzzy logic is described. This approach can be used in ETO companies during their transition into the hybrid MC-ETO production systems. The research was done in a collaboration with experts from the real ETO pro-duction system, in Polish SME, which manufactures mechanical parts.http://acs.pollub.pl/pdf/v17n1/2.pdfproduction controlsmesetomass customizationfuzzy logic |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bartosz CIESLA Janusz MLECZKO |
spellingShingle |
Bartosz CIESLA Janusz MLECZKO PRACTICAL APPLICATION OF FUZZY LOGIC IN PRODUCTION CONTROL SYSTEMS OF ENGINEER TO ORDER SMES Applied Computer Science production control smes eto mass customization fuzzy logic |
author_facet |
Bartosz CIESLA Janusz MLECZKO |
author_sort |
Bartosz CIESLA |
title |
PRACTICAL APPLICATION OF FUZZY LOGIC IN PRODUCTION CONTROL SYSTEMS OF ENGINEER TO ORDER SMES |
title_short |
PRACTICAL APPLICATION OF FUZZY LOGIC IN PRODUCTION CONTROL SYSTEMS OF ENGINEER TO ORDER SMES |
title_full |
PRACTICAL APPLICATION OF FUZZY LOGIC IN PRODUCTION CONTROL SYSTEMS OF ENGINEER TO ORDER SMES |
title_fullStr |
PRACTICAL APPLICATION OF FUZZY LOGIC IN PRODUCTION CONTROL SYSTEMS OF ENGINEER TO ORDER SMES |
title_full_unstemmed |
PRACTICAL APPLICATION OF FUZZY LOGIC IN PRODUCTION CONTROL SYSTEMS OF ENGINEER TO ORDER SMES |
title_sort |
practical application of fuzzy logic in production control systems of engineer to order smes |
publisher |
Polish Association for Knowledge Promotion |
series |
Applied Computer Science |
issn |
1895-3735 2353-6977 |
publishDate |
2021-03-01 |
description |
In this paper the method of improving production control in engineer to order [ETO] small and medium sized enterprises is presented. Briefly, the strategy of Mass Customization [MC] and a concept of the hybrid MC-ETO production system are demonstrated. Thereafter, a method of choosing components for small batch manu-facturing in advance, under conditions of single unit ETO production system, with application of fuzzy logic is described. This approach can be used in ETO companies during their transition into the hybrid MC-ETO production systems. The research was done in a collaboration with experts from the real ETO pro-duction system, in Polish SME, which manufactures mechanical parts. |
topic |
production control smes eto mass customization fuzzy logic |
url |
http://acs.pollub.pl/pdf/v17n1/2.pdf |
work_keys_str_mv |
AT bartoszciesla practicalapplicationoffuzzylogicinproductioncontrolsystemsofengineertoordersmes AT januszmleczko practicalapplicationoffuzzylogicinproductioncontrolsystemsofengineertoordersmes |
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1721530098534842368 |