Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
|
|
SLO
|
ENG
|
Cookies and privacy
DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
FKKT - Faculty of Chemistry and Chemical Engineering
FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
FOV - Faculty of Organizational Sciences in Kranj
FS - Faculty of Mechanical Engineering
FT - Faculty of Tourism
FVV - Faculty of Criminal Justice and Security
FZV - Faculty of Health Sciences
MF - Faculty of Medicine
PEF - Faculty of Education
PF - Faculty of Law
UKM - University of Maribor Library
UM - University of Maribor
UZUM - University of Maribor Press
COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
Miklošič Library FPNM, Maribor
Faculty of Law, Maribor
University of Maribor Library
Bigger font
|
Smaller font
Introduction
Search
Browsing
Upload document
For students
For employees
Statistics
Login
First page
>
Show document
Show document
Title:
Primerjava metod terminskega planiranja proizvodnje
Authors:
ID
Lorenčič, Samo
(Author)
ID
Buchmeister, Borut
(Mentor)
More about this mentor...
ID
Nedelko, Zlatko
(Mentor)
More about this mentor...
Files:
UN_Lorencic_Samo_2017.pdf
(1,09 MB)
MD5: EAE7EAEC82FAE2ABF1D70FA873880084
PID:
20.500.12556/dkum/edeff2b9-d3e1-467f-a7f8-db0956f2c488
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FS - Faculty of Mechanical Engineering
Abstract:
Terminiranje v proizvodnji je postopek časovnega planiranja del in virov, s ciljem optimizacije procesa proizvodnje. Namen terminiranja je zmanjšanje časa izdelave, s čimer se poveča učinkovitost proizvodnje ob zmanjšanju celotnih stroškov. Na izbiro je veliko metod terminskega planiranja, ki se med seboj lahko zelo razlikujejo, zato je vselej prisotna dilema pri izbiri najprimernejše metode za dan proces. Namen diplomske naloge je najprej predstaviti proces terminiranja na splošno, k čemur je vključen tudi ekonomski vidik. Nato pa se naloga posveča opisu pogosto uporabljenih tradicionalnih metod (poudarek na prednostnih pravilih), ter njihovi alternativi - genetskim algoritmom. Razlike med metodama so, s pomočjo primerov, opisane v zaključnem komentarju. Z implementacijo ustreznega genetskega algoritma, se lahko v določenih kompleksnih primerih skrajša terminski plan, kar pripelje do korenitega zmanjšanja proizvodnih stroškov.
Keywords:
Terminsko planiranje proizvodnje
,
operativni management proizvodnje
,
upravljanje proizvodnje
,
prednostna pravila
,
genetski algoritmi
Place of publishing:
Maribor
Publisher:
[S. Lorenčič]
Year of publishing:
2017
PID:
20.500.12556/DKUM-66631
UDC:
658.513(043.2)
COBISS.SI-ID:
21208086
NUK URN:
URN:SI:UM:DK:6Y02Z5RA
Publication date in DKUM:
04.10.2017
Views:
1716
Downloads:
200
Metadata:
Categories:
KTFMB - FS
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
LORENČIČ, Samo, 2017,
Primerjava metod terminskega planiranja proizvodnje
[online]. Bachelor’s thesis. Maribor : S. Lorenčič. [Accessed 24 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=66631
Copy citation
Average score:
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Similar works from our repository:
Ekonomski in ekološki vpliv naprave za razžveplanje dimnih plinov na bloku 4 TE Šoštanj
Dimensioning the pressure part of the recirculation pipeline
Kombinirana proizvodnja električne energije in toplote
Nadzor kakovosti procesa zgorevanja v TE-TO Ljubljana
Nadzor kakovosti procesa izdelave oblazinjenega pohištva
Similar works from other repositories:
Flue gas desulphurisation of large combustion plants in coastal locations
Hidroproizvodnja električne energije med naravnim, tehnološkim in poslovnim okoljem
Menedžment človeških virov v podjetju s proizvodnjo električne energije
Obvladovanje stroškov vzdrževanja v podjetju Hidroelektrarne na spodnji Savi
Analiza proizvodnje električne energije v Gorenjskih elektrarnah v letu 2017
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
04.07.2017
Secondary language
Language:
English
Title:
Comparison of production scheduling methods
Abstract:
Production scheduling is a process of arranging works and resources, with the aim of optimizing the production process. The purpose of scheduling is to reduce production time, thereby increasing production efficiency, while reducing the total cost. There are many known methods of sequencing jobs on machines, which can greatly differ from each other. This may cause a dilemma when choosing the most appropriate method for optimization of work process. The aim of diploma is firstly to present the process of scheduling in general, which also includes economic aspect of the process. Afterwards the text focuses on frequently used traditional methods (with the main focus on the priority rules) and their alternative – genetic algorithms. The differences between various methods are described in the last section, with the help of the two examples. By implementing an appropriate genetic algorithm, in some complex cases, the schedule can be shortened, leading to a radical reduction in production costs.
Keywords:
production scheduling
,
operational management of production
,
production management
,
priority rules
,
genetic algorithms
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back
