Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/492519
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DC FieldValueLanguage
dc.coverage.spatialMathematics
dc.date.accessioned2023-06-16T11:45:43Z-
dc.date.available2023-06-16T11:45:43Z-
dc.identifier.urihttp://hdl.handle.net/10603/492519-
dc.description.abstractInventory can be explained as the stock of goods stored for the effective and smooth newlinefunctioning of the business. Inventory also used to boost up the business. Almost all newlinecompanies have their wide-ranging inventory for large items like electronic products, newlinemachines, etc., and small things like stationery, books, etc. For large businesses, newlineinventory is essential for solving complex algorithms and computer programming. newlineThe assumption of constant demand rate is not appropriate for many inventory products newlineor items like fashionable things, dairy products, electronic items, fruits, vegetables, etc.; newlinethe demand rate may be time-dependent, price-dependent, and stock-dependent. The newlineproducts like fruits, vegetables, drugs, dairy products, etc., have a limited lifetime. They newlinedecay according to time. Such type of items or products is known as deteriorating items. newlineDue to the deterioration of items or products, the inventory system faces many newlineproblems. newlineThis thesis intends to show the positive reflectance of inventory model by using cubical newlineand biquadratic polynomial as demand rate. Firstly authors assume cubic polynomial as newlinedemand rate and constant deterioration rate i.e., and#120579;(and#119905;) = and#120579;and#119905;. Shortages are also allowed newlinein this model. various types of constant and variable costs are considered to find Total newlineInventory Cost (TIC). Two cases also considered to find optimal TIC in case of cubic newlinepolynomial demand rate and constant deterioration rate. In first case, model is newlinedeveloped with assumption of cubic polynomial as demand rate and constant newlinedeterioration rate with variable holding cost. In second case model is developed with newlineassumption of cubic polynomial as demand rate and constant deterioration rate with newlinevariable ordering cost. Also authors assume Weibull distribution and Exponential newlinedistribution as deterioration rate by keeping cubic polynomial as demand rate. Further newlinewe assume biquadratic polynomial as demand rate and constant deterioration rate. newline
dc.format.extentXVI, 226
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleSensitive Analysis of Inventory Model Having Cubical and Biquadratic Polynomial Demand
dc.title.alternative
dc.creator.researcherSuman
dc.subject.keywordMathematics
dc.subject.keywordPhysical Sciences
dc.description.note
dc.contributor.guideVinod Kumar
dc.publisher.placeHisar
dc.publisher.universityOM Sterling Global University
dc.publisher.institutionMathematics
dc.date.registered2019
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions28
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Mathematics

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02_prilimenary pages.pdf564.17 kBAdobe PDFView/Open
03_table of content.pdf352.82 kBAdobe PDFView/Open
04_abstract.pdf263.87 kBAdobe PDFView/Open
05_chapter 01.pdf663.91 kBAdobe PDFView/Open
06_chapter 02.pdf492.86 kBAdobe PDFView/Open
07_chapter 03.pdf1.01 MBAdobe PDFView/Open
08_chapter 04.pdf712.11 kBAdobe PDFView/Open
09_chapter 05.pdf1.17 MBAdobe PDFView/Open
10_chapter 06.pdf1.1 MBAdobe PDFView/Open
11_chapter 07.pdf1.27 MBAdobe PDFView/Open
12_chapter 08.pdf912.19 kBAdobe PDFView/Open
13_chapter 09.pdf304.46 kBAdobe PDFView/Open
14_bibliography.pdf339.84 kBAdobe PDFView/Open
15_publication.pdf7.09 MBAdobe PDFView/Open
80_recommendation.pdf154.87 kBAdobe PDFView/Open


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