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Title:OPTIMIZACIJA SAP PARAMETORV ZA PLANIRANJE SERIJSKE PROIZVODNJE
Authors:ID Erjavc, Nina (Author)
ID Roblek, Matjaž (Mentor) More about this mentor... New window
Files:URL MAG_Erjavc_Nina_2013.pdf (3,67 MB)
MD5: B5F04511BFFFD3EE982C83AAE4EC06BE
 
Language:Slovenian
Work type:Master's thesis
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:Poslovno okolje sili podjetje, da mora vsak trenutek težiti k optimizaciji in zmanjševanju stroškov. Na drugi strani pa mora ohranjati enako kvaliteto svojih izdelkov in stopnjo servisiranja. Če podjetje želi zadovoljevati potrebe svojih kupcev, delati s čim manj stroški in ustvarjati dobiček, mora stalno izboljševati vse svoje procese. Planiranje predstavlja enega temeljnih procesov v podjetju, saj skrbi za realizacijo kupčevih naročil. Podprto je z informacijsko rešitvijo SAP ERP. Ker planiranje proizvodnje lahko poteka na več načinov, tudi ERP sistemi nudijo konfiguracijske možnosti, da se prilagodijo poslovanju podjetja. Ugotovljeno je bilo, da sam način planiranja prav tako pa tudi izkoriščenost SAP, ni optimalno. Namen raziskovanja in testiranja v magistrski nalogi je bil ta, da ugotovimo, ali lahko z naprednimi metodami planiranja nadgradimo sistem planiranja. Za nadgradnjo smo izbrali tista področja, za katere smo menili, da so najmanj razvita in podprta s sistemom SAP ERP in ki bodo prinesla največje koristi in izboljšanje samega procesa planiranja. Na podlagi teorije in s pomočjo študija primerov smo pripravili optimizacije, ki so bile primerne za preučevano podjetje. Že takoj na začetku je bilo ugotovljeno, da vsakega posameznega področja ne moremo optimizirati na enak način. V podjetju se uporabljajo različni načini planiranja, ki temeljijo na značilnostih posameznega prodajnega programa. Zato so bile optimizacije različne glede na obstoječi način planiranja ter značilnosti prodajnega programa. Rešitve so bile takoj vpeljane in se uporabljajo še danes.
Keywords:Proces izpolnjevanja naročil, planiranje proizvodnje, SAP, varnostna zaloga, kanban, napovedovanje, kapacitete, optimalne naročniške količine
Place of publishing:Maribor
Year of publishing:2013
PID:20.500.12556/DKUM-42022 New window
COBISS.SI-ID:7234579 New window
NUK URN:URN:SI:UM:DK:P2FRVXJJ
Publication date in DKUM:06.11.2013
Views:3388
Downloads:208
Metadata:XML DC-XML DC-RDF
Categories:FOV
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Secondary language

Language:English
Title:OPRIMIZACTION OF SAP SERIAL PRODUCTION PLANNNING CONFIRATION
Abstract:Business environment forces companies to constant optimization and cost-minimization. On the other hand they need to preserve the quality of their products and services. If they want to satisfy customer demands, keep the costs as low as possible and make profit they constantly need to improve their business processes. Planning in the form of realization of customers’ orders is one of the fundamental business processes in the company. The process is supported by an information solution SAP ERP. Since production planning can be done in several ways, ERP systems also provide configuration options to adjust the Company's operations. It was found that the method of planning as well as the utilization of the SAP, is not optimal. The purpose of this thesis is to determine if the advanced planning methods can help us upgrade the planning system. For the upgrade of the planning process we selected those areas which were considered to be the least developed and supported by SAP ERP system and which will bring maximum benefit and improvement to the process of planning. Based on the theory and with the help of case studies were prepared optimizations that were suitable for the studied company. Right at the beginning, it was found that each area can’t be optimized in the same way. The company uses various methods of planning, based on the characteristics of the individual program. Therefore, the optimization was different according to the existing method of planning and the characteristics of the sales program. The solutions were implemented implemented and are still in use today.
Keywords:Order fulfillment process, production planning, SAP, safety stock, kanban, forecasting, capacity, optimal ordering quantities


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