Title : Eoq models for deteriorating items under fuzzy environment

Type of Material: Thesis
Title: Eoq models for deteriorating items under fuzzy environment
Researcher: Sahoo, Ajit Kumar
Guide: Samanta, Padmanava
Department: Department of Mathematics
Publisher: Berhampur University, Berhampur
Place: Berhampur
Year: 2021
Language: English
Subject: Mathematics
Mathematics Applied
Physical Sciences
Mathematical Sciences
Physical and Basic Sciences
Dissertation/Thesis Note: PhD; Department of Mathematics, Berhampur University, Berhampur, Berhampur; 2021
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_464299
040__|dIN-AhILN|aBRMP_760007
041__|aeng
100__|eResearcher|aSahoo, Ajit Kumar
110__|aDepartment of Mathematics|0U-0350|dBerhampur|bBerhampur University, Berhampur|ein
245__|aEoq models for deteriorating items under fuzzy environment
260__|aBerhampur|c2021|bBerhampur University, Berhampur
300__|a130 p.|dDVD
502__|cDepartment of Mathematics, Berhampur University, Berhampur, Berhampur|d2021|bPhD
518__|oDate of Award|d2021
518__|d2015|oDate of Registration
518__|oDate of Completion|d2021
520__|aThe first chapter is introduction and literature survey of the related work where the background literature has been described briefly in the light of which our investigation have been presented in the subsequent chapters. The motivation and scope of the thesis have also been mentioned. The objective of the study is to develop an EOQ inventory model for non-instantaneous deteriorating products, in fuzzy approach. Due to lockdown and shutdown, during this pandemic COVID 19, customers have faced financial crises which lead to the fluctuation of market demand followed by other system parameters of like vegetables and bakery items. Since classical EOQ model has many unrealistic parameters, some of the inventory management systems are fit for such situations but most of the business firms are dealing with parameters which are highly uncertain in nature. In the present study, we assume demand, deterioration, holding cost, backlog rate are constant in Crisp model, on the other hand in fuzzy model they are consider
650__|aMathematical Sciences|2UGC
650__|aPhysical and Basic Sciences|2AIU
653__|aMathematics
653__|aMathematics Applied
653__|aPhysical Sciences
700__|aSamanta, Padmanava|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/476700|yShodhganga
905__|afromsg

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