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| 001 | 233394 | ||
| 003 | koha_MIRAKIL | ||
| 005 | 20221226090139.0 | ||
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_aCY-NiCIU _btur _cCY-NiCIU _erda |
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| 041 | 0 | _aeng | |
| 090 |
_aYL 395 _b A34 2014 |
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| 100 | 1 | _aAdeoye, Olaitan C. | |
| 245 | 0 |
_aAn application of shock models to the inventory _cOlaitan C. Adeoye; Supervisor: Ayşe Tansu Tunçbilek |
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| 260 |
_aNicosia _bCyprus International University _c2014 |
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| 300 |
_aVII, 56 p. _btable _c30.5 cm _eCD |
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| 336 |
_2rdacontent _atext _btxt |
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| 337 |
_2rdamedia _aunmediated _bn |
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| 338 |
_2rdacarrier _avolume _bnc |
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| 500 | _3Includes CD | ||
| 504 | _aIncludes references (50-53 p.) | ||
| 520 | _a'Abstract The study of optimal replcement and repair strategies of deteriorating systemshas widely attracted attention of several researchers in the recent past owing to the fact that all real world systems are deteriorating in nature. To ensure the reliability of these systems, several models have been developed by many researchers among which shock models have attracted a lot of interest base on its wide area of application. While the earlier shock models concentrated solely on the magnitude of the damage caused by the shocks,(Yeh Lam and Zhang,2004) model paid attentyion to the frequency of the shocks. Recently (Rangan, A and Tansu,A 2008) got some results on a new class of shock model by analysing the statistical charateristies of δ- shock model, thereby establishing an optimal replacement and repair model for deteriorating systems. On the other hand the subject of inventory control is a major consideration in many situation and as such can be modeled in such a similar approach to deteriorating systems. Maintaing inventiories is necessary for any company dealing with physical products, including maunfacturers, wholesalers and retailers; hence inventories are found in every sector of any economy. Companies use operations research to improve their inventory policy for when and how much to replenish their inventory which could be done by formulating a mathematical model describing the behavior of the inventory system in order to know when and how much to replenish the inventory. This research work involves the inventory application. In such a modeling approach, each ordern has a random lead time similar to a δ- shock model. If the demand is less amonut of inventory i, the demand is satisfied. If otherwise then demnads are not satisfied. In such a modeling approach ,a system is subject to randomly occouring demands, each of which adds a nonnegative random quantity to the accumulated demand process. Here, the demand is consıdered instead of shock arrivals. It analyses the existing models and uses demand as random variables, and ordering inventory in single units. A new model was developed which was governed by some assumptions based on the existing models on deteriorating systems. Stochastical modeling was usede to model the parameters gotten from these assumptions and hence used to establish this new class of model. Key words: δ- shock model, Inventory, Demands, Random lead tımes. ' | ||
| 650 | 0 | 0 | _aEnvanter |
| 650 | 0 | 0 | _aInventory |
| 650 | 0 | 0 | _aRastgele teslim süreleri |
| 650 | 0 | 0 | _aRandom lead times |
| 700 | 0 |
_aSupervisor: Tunçbilek, Ayşe Tansu _91656 |
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| 942 |
_2ddc _cTS |
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| 505 | 1 |
_g1 _tCHAPTER 1 |
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| 505 | 1 |
_g1 _tINTRODUCTION |
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| 505 | 1 |
_g4 _tCHAPTER 2 |
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| 505 | 1 |
_g4 _tLITERATURE REVIEW |
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| 505 | 1 |
_g4 _tINVENTORY THEORY |
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| 505 | 1 |
_g9 _tSUPPLY CHAIN VISIBILITY |
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| 505 | 1 |
_g10 _tDEMAND VISIBILTY IN INVENTORY CONTROL |
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| 505 | 1 |
_g11 _tCONCEPT OF INVENTORY CONTROL |
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| 505 | 1 |
_g11 _tSHOCK MODELS IN SYSTEM RELIABILITY |
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| 505 | 1 |
_g12 _tEXTREME AND CUMULATIVE SHOCKS |
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| 505 | 1 |
_g13 _tSHOCK MODEL AS A MAINTANANCE MODEL IN AUTOMOBILES |
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| 505 | 1 |
_g14 _tRESEARCH FOCUS |
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| 505 | 1 |
_g15 _tCHAPTER 3 |
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| 505 | 1 |
_g15 _tPOISSON PROCESSES |
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| 505 | 1 |
_g15 _tINTRODUCTION |
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| 505 | 1 |
_g17 _tARRIVAL PROCESSES |
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| 505 | 1 |
_g17 _tHOMOGEOUS AND NON -HOMOGEOUS POISSON PROCESS |
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| 505 | 1 |
_g18 _tRENEWAL PROCESS |
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| 505 | 1 |
_g20 _tCHAPTER 4 |
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| 505 | 1 |
_g20 _tMETHODOLOGY |
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| 505 | 1 | _tNOTATION USED | |
| 505 | 1 |
_g20 _tTHE MODEL ASSUMPTION |
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| 505 | 1 |
_g21 _tTHE STATISTICAL CHARACTERISTICS |
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| 505 | 1 |
_g25 _tSPECIFIC MODELS AND DISCUSSIONS |
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| 505 | 1 |
_g26 _tMODEL 1=EXPERIMANTIAL MODEL |
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| 505 | 1 |
_g27 _tMODEL 2=GAMMA MODEL |
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| 505 | 1 |
_g28 _tMODEL 3= UNIFROM DISTRIBUTION MODEL |
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| 505 | 1 |
_g30 _tCHAPTER 5 |
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| 505 | 1 |
_g30 _tRESULTS AND ANALYSIS |
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| 505 | 1 |
_g30 _tMODEL 1- EXPONENTIAL MODEL |
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| 505 | 1 |
_g31 _tMODEL 2-GAMMA ORDER |
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| 505 | 1 |
_g32 _tMODEL 3- UNIFORM |
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| 505 | 1 |
_g34 _tSUMMARY FOR ALL MODELS |
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| 505 | 1 |
_g36 _tCHAPTER 6 |
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| 505 | 1 |
_g36 _tCONCLUSION AND FUTURE WORK |
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| 505 | 1 |
_g39 _tAPPENDIX |
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| 505 | 1 |
_g50 _tREFERENCES |
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| 505 | 1 |
_g54 _tCURRICULUM VITAE |
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| 999 |
_c447 _d447 |
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