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Title:TERMINIRANJE DELOVNIH NALOGOV S POMOČJO GENETSKIH ALGORITMOV
Authors:ID Lestan, Zoran (Author)
ID Brezočnik, Miran (Mentor) More about this mentor... New window
ID Buchmeister, Borut (Comentor)
Files:.pdf UNI_Lestan_Zoran_2009.pdf (514,67 KB)
MD5: 2FFC3BC776298BC22BABD1DC6D9A70AE
PID: 20.500.12556/dkum/008112a3-871d-434d-9ada-83f18b1fca5e
 
Language:Slovenian
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:Pod pojmom terminiranje v proizvodnji razumemo časovno razporejanje procesov in virov oziroma sredstev. Pravilno terminiranje je za podjetje velikega pomena, lahko pa predstavlja tudi težavo, saj je na voljo ogromen prostor potencialnih rešitev. Zaradi velikega pritiska konkurenčnih podjetij pa postaja čas zelo velik dejavnik poslovnega uspeha. Diplomsko delo obravnava problem terminiranja proizvodnih procesov in metode, ki se uporabljajo za razvrščanje delovnih nalogov. Poudarek je na metodah, ki so trenutno najbolj aktualne. Glavna tema dela je izdelava programa za terminiranje, ki temelji na metodi genetskih algoritmov. Učinkovitost tega programa pa je prikazana z reševanjem praktičnih primerov.
Keywords:proizvodnja, terminiranje delovnih nalogov, evolucijsko računanje, genetski algoritmi
Place of publishing:Maribor
Publisher:[Z. Lestan]
Year of publishing:2009
PID:20.500.12556/DKUM-10228 New window
UDC:658.5:331.103.22(043.2)
COBISS.SI-ID:13272854 New window
NUK URN:URN:SI:UM:DK:E6M029M3
Publication date in DKUM:30.04.2009
Views:3309
Downloads:349
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
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Secondary language

Language:English
Title:WORK ORDER SCHEDULING BY GENETIC ALGORITHMS
Abstract:The job shop scheduling is concerned with arranging processes and resources. Proper schedules are very important for the manufacturers, but can cause serious problems because of the enormous solution space. Pressure from the competitive enterprises is the main reason why time is becoming one of the most important success factors. This diploma presents the job shop problem and methods for sequencing jobs on machines. The accentuation is on up-to-date methods. The main theme in this work is the development of a computer program for the job shop scheduling, which is based on genetic algorithms. The effectiveness of the program is demonstrated by solving practical problems.
Keywords:manufacturing, work order scheduling, evolutionary computation, genetic algorithms


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