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  Published Paper Details:

  Paper Title

TWO-GODOWN INVENTORY MODEL FOR DETERIORATING ITEMS USING MULTI-OBJECTIVE GENETIC ALGORITHM

  Authors

  Veenita Sharma,  A.B. Chandramouli,  Dr. Ajay Singh Yadav

  Keywords

Keywords:- Inventory model, owned godown, rented godown, deteriorating items and Genetic Algorithm

  Abstract


In this chapter a deterministic inventory model has been developed for deteriorating items having a ramp type demand with the effects of inflation with two-storage facilities using Genetic Algorithm. The owned godown (OG) has a fixed capacity of W units; the rented godown (RG) has unlimited capacity using Genetic Algorithm. Here, we assumed that the inventory holding cost in RG is higher than those in OWG. Shortages in inventory are allowed and partially backlogged and it is assumed that the inventory deteriorates over time at a variable deterioration rate using Genetic Algorithm. The effect of inflation has also been considered for various costs associated with the inventory system. Numerical example is also used to study the behaviour of the model using Genetic Algorithm. Cost minimization technique is used to get the expressions for total cost and other parameters using Genetic Algorithm.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2105375

  Paper ID - 207072

  Page Number(s) - d361-d379

  Pubished in - Volume 9 | Issue 5 | May 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Veenita Sharma,  A.B. Chandramouli,  Dr. Ajay Singh Yadav,   "TWO-GODOWN INVENTORY MODEL FOR DETERIORATING ITEMS USING MULTI-OBJECTIVE GENETIC ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.d361-d379, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105375.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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