| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Model napovedovanja življenjskega cikla izdelka s sistemskimi kazalniki, izbranimi na osnovi kritične verige
Authors:ID Rehar, Tomaž (Author)
ID Buchmeister, Borut (Mentor) More about this mentor... New window
ID Leber, Marjan (Comentor)
ID Pisnik, Aleksandra (Comentor)
Files:.pdf DOK_Rehar_Tomaz_2017.pdf (2,48 MB)
MD5: F9A3BCCEAF83337C24736ED2A315A8CF
 
Language:Slovenian
Work type:Dissertation
Typology:2.08 - Doctoral Dissertation
Organization:FS - Faculty of Mechanical Engineering
Abstract:Danes vlada v svetu dinamično poslovno okolje, kjer se ekonomsko-socialne spremembe odvijajo na zelo kratek rok. Da bi podjetja lahko sledila trendom sprememb, morajo prilagajati tako poslovne modele poslovanja kot izdelke trendom sprememb. Zato je zelo pomembno, da imajo podjetja razvit strateški menedžment, ki določa, v katere smeri se bo podjetje razvijalo, in kreira metodologijo za dosego zastavljenih ciljev. Koncept življenjskega cikla izdelka je eno od orodij strateškega menedžmenta in podjetju v vsakem obdobju daje smernice, ki naj bi jih uporabilo pri trženju izdelka. Zelo pomembno je, da podjetja vedo, v kateri fazi življenjskega cikla se nahaja njihov izdelek, ki ga tržijo. Pri koncipiranju platforme izdelka se podjetja opirajo na raziskave ekonomsko-socialnih parametrov. Te parametre imenujemo v doktorski disertaciji vplivni parametri, ker s svojo spremembo v času vplivajo na prodajo izdelka in od podjetja terjajo spremembo poslovnega modela, spremembo poslovne strategije ali spremembo izdelka. Izdelki, ki so koncipirani na osnovi vplivnih parametrov, zadostijo veliki večini potreb, ki so v danem trenutku aktualne. S spremembo vplivnega parametra se spremenijo tudi potrebe potrošnikov in izdelek v veliki večini primerov potrebuje prilagoditev novim parametrom. Da bi podjetja natančno vedela, v kateri fazi življenjskega cikla se nahaja izdelek, pogosto uporabljajo metode napovedovanja. Obstaja mnogo različnih metod napovedovanja krivulje življenjskega cikla. Proučevan model preslika prodajo večgeneracijskega izdelka na njegovega naslednika. Pri tem se preslikajo tudi vsi ekonomsko-socialni parametri, ki so veljali v tistem obdobju. Cilj disertacije je bil razviti model, ki bo upošteval spremembo vplivnih parametrov in podal zanesljive srednjeročne napovedi prodaje izbranega izdelka (vgradnih pečic). Bassov difuzijski model smo nadgradili, s čimer smo uspeli zajeti spremembo vplivnih parametrov. Z modelom simuliramo prodajne količine, ki za leto 2016 za 8 odstotkov odstopajo od realnih prodajnih količin. Glede na trende prodajnih količin prejšnje generacije lahko z gotovostjo trdimo, da bo odstopanje med rezultati modela in realno prodajo v prihodnosti še manjše.
Keywords:Življenjski cikel izdelka, simulacija, napovedovanje, matematično modeliranje, sistemski kazalniki, kritična veriga, TOC.
Place of publishing:Maribor
Publisher:[T. Rehar]
Year of publishing:2017
PID:20.500.12556/DKUM-65056 New window
UDC:005.41:658.511.2(043.3)
COBISS.SI-ID:20808726 New window
NUK URN:URN:SI:UM:DK:O3KPACYW
Publication date in DKUM:30.05.2017
Views:2265
Downloads:340
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
:
REHAR, Tomaž, 2017, Model napovedovanja življenjskega cikla izdelka s sistemskimi kazalniki, izbranimi na osnovi kritične verige [online]. Doctoral dissertation. Maribor : T. Rehar. [Accessed 8 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=65056
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:Bookmark and Share


Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Secondary language

Language:English
Title:Model for forecasting product life cycle from the system indicators
Abstract:Today in the world there is a dynamic business environment where the social economic changes taking place in the very short term. Enterprises must adapt business models and products in order to follow the trends of changes. Therefore, is very important that companies have developed strategic management, which determines the direction in which the company will develop and create a methodology for achieving the objectives. The concept of product life cycle is one of the tools of strategic management. Concept offer to Enterprise for each period the main strategies to be used in the marketing of the product. In the product platform design phase, companies rely on the research of social economic parameters. We call these parameters, in this paper, influential parameters because with its change in time, affect the sale of the product and they require from company to change business model or change of business strategy or to modify the product. Products which are designed on the basis of influential parameters, meet the vast majority of needs that are present in the initial time. Change of the influential parameters reflects to changes in consumer needs and product in most cases it needs to adapt to these new parameters. To know exactly at what stage of the life cycle curve the product is, enterprises often use forecasting methods. There are many different methods for forecasting the life cycle curve. Studied model transfer the sale parameters of multi-generation product to his successor. In the sale parameters are reflected all social economic parameters of that past period. The aim of this thesis was to develop a model that takes into account the change of influential parameters and delivered robust medium-term sales forecasts of built-in ovens. Based on the Bass diffusion model, we have developed a model which we have managed to capture the change of influential parameters. Simulated sales quantities deviate 8 percent from actual sales quantities. Considering the trends in sales quantities of the previous generation, we can confidently say that the deviation between the model results and real sales in 2017 will be lower.
Keywords:Product life cycle, simulation, forecasting, mathematical modeling, system indicators, critical chain, TOC.


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica