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Title:RAZVOJ SOFISTICIRANIH MODELOV ZA UPRAVLJANJE ZALOG PRI SPREMENLJIVEM POVPRAŠEVANJU IN KOMPARATIVNA ANALIZA DOSEŽENIH REZULTATOV
Authors:ID Medved, Grega (Author)
ID Vrančič, Damir (Mentor) More about this mentor... New window
ID Dragan, Dejan (Comentor)
Files:.pdf MAG_Medved_Grega_2011.pdf (5,19 MB)
MD5: 61224D8AAF44D0E2FD5DA7B078F1F085
PID: 20.500.12556/dkum/38b6ae95-af11-4bef-acb5-90b4cf32caa3
 
Language:Slovenian
Work type:Master's thesis
Organization:FL - Faculty of Logistic
Abstract:Upravljanje zalog predstavlja zelo široko področje množice sistemov upravljanja. Razlike med njimi izvirajo v prvi meri predvsem iz povpraševanja (deterministično, stohastično) ter ostalih pogojev poslovanja (različne vrste blaga, stroški ...).V magistrski nalogi bomo predstavili in razvili različne modele upravljanja z zalogami z upoštevanjem navedenih pogojev. Ker se v praksi srečujemo tako z determinističnimi kakor stohastičnimi informacijami o količinah in porazdelitvah povpraševanja, bomo v sklopu determinističnega povpraševanja predstavili osnovne modele upravljanja z zalogami pri konstantnem povpraševanju in razvili Wagner-Whitinov model pri časovno spremenljivem povpraševanju. Za potrebe razvoja Wagner-Whitinovega modela bomo predstavili metodologijo reševanja problemov po korakih, ki ji pravimo dinamično programiranje. V okviru stohastičnega povpraševanja pa bomo najprej predstavili enoperiodični ''Newsboy'' model upravljanja zalog. Zelo nazorno bo prikazan tudi razvoj modela pri zveznem in periodičnem pregledovanju stanja zalog ob stohastičnem povpraševanju. Različna okolja in pogoji poslovanja zahtevajo določeno prilagodljivost modelov in strategij. Da bi tem pogojem zadostili, bomo razvili tudi ''hibridna'' modela pri zveznem in periodičnem pregledovanju stanja zalog, ki temeljita na nekoliko drugačni strategiji upravljanja zalog, kot klasična modela. Nikakor ne bomo pozabili zelo pomembnega dejstva pri poslovanju z zalogami, ki ga imenujemo količinski popusti. Tudi v ta namen bomo razvili modele za upravljanje z zalogami. Rezultat razvoja različnih modelov upravljanja je optimalna strategija upravljanja zalog, ki daje nekatere značilne optimalne veličine, kot so: optimalno naročena količina, optimalno signalna zaloga, optimalen čas naročanja, …, in omogoča, da zaloge upravljamo z najnižjimi stroški. Za potrebe simulacije in komentarja rešitev, dosežena s pomočjo stohastičnih modelov upravljanja z zalogami, bomo v programskem okolju Matlab konstruirali algoritme, ki bodo izračunavali optimalne veličine pri upravljanju zalog. Na osnovi simulacijskih podatkov, ki bodo pokrivali širok spekter hipotetičnih situacij oz. scenarijev, bomo preizkusili različne primere iskanja optimalnih strategij in komentirali rešitve in vzroke za dosežene rezultate.
Keywords:upravljanje zalog, Wagner-Whitinov model pri časovno spremenljivem povpraševanju, dinamično programiranje, upravljanje zalog pri stohastičnem povpraševanju, količinski popusti.
Place of publishing:Maribor
Year of publishing:2011
PID:20.500.12556/DKUM-20292 New window
NUK URN:URN:SI:UM:DK:ABSCVAS0
Publication date in DKUM:16.10.2011
Views:3092
Downloads:267
Metadata:XML DC-XML DC-RDF
Categories:FL
:
MEDVED, Grega, 2011, RAZVOJ SOFISTICIRANIH MODELOV ZA UPRAVLJANJE ZALOG PRI SPREMENLJIVEM POVPRAŠEVANJU IN KOMPARATIVNA ANALIZA DOSEŽENIH REZULTATOV [online]. Master’s thesis. Maribor. [Accessed 9 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=20292
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Secondary language

Language:English
Title:THE DEVELOPMENT OF SOFISTICATED INVENTORY MANAGEMENT POLICIES WITH VARIABLE DEMAND ACCOMPANIED WITH A COMPARATIVE ANALYSIS OF OBTAINED RESULTS
Abstract:Inventory management represents a very broad field of multitude of management systems. The differences between the systems arise primarily from deterministic and stochastic demand as well as other business conditions such as the variety of goods, expenses and the like. By taking into account the aforementioned conditions, this thesis introduces and develops various inventory management policies. Since both deterministic as well as stochastic information on the quantities and distribution of demand occur in real life situations, we therefore, within the framework of deterministic demand, introduce basic inventory management policies with constant demand, and develop the Wagner-Whitin model with time-variable demand. For the purpose of developing the Wagner-Whitin model, we introduce a methodology of step-by-step problem solving, also called dynamic programming. Within the framework of stochastic demand we first introduce the single-period ''Newsboy'' inventory management policy. Also, the development of continuous and periodic review management inventory policies with stochastic demand is clearly demonstrated. Since different environments and business conditions demand a certain degree of flexibility in terms of policies and strategies, we, in order to meet these conditions, develop ''hybrid'' continuous and periodic review inventory management policies, which are based on a slightly different inventory management strategy than the two classic policies. In discussing inventory business, we by no means ignore a very important fact known as quantity discount for the purpose of which we also develop policies of inventory management. As a result of developing various management policies what emerges is an optimal inventory management strategy, which offers certain characteristic optimal magnitudes such as optimal order quantity, optimal reorder point, optimal order time etc. The strategy also allows for the inventory to be managed at the lowest cost. For the purpose of simulation and comments on solutions obtained with the help of stochastic inventory management policies, we implement algorithms in Matlab, which then calculate optimal magnitude in inventory management. On the basis of simulation data, which covers a broad range of hypothetical situations, or in other words scenarios, we test various examples of optimal search strategy and finally comment on the solutions and the causes for the obtained results.
Keywords:inventory management, Wagner-Whitin model with time-variable demand, dynamic programming, inventory management with stochastic demand, quantity discounts.


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