A Bayesian Approach Proposal For Inventory Cost And Demand Forecasting

Sinan APAK
1.655 635

Abstract


Technology’s perpetual vicissitude and product models’ distinction in industrial market have a crucial effect on forecasting demand for spare components. In order to set forth the future demand rates for products, inventory managers repetitively update their prognostications. Bayesian model is utilizing a prior probability distribution for the injunctive authorization rate which was habituated in order to get optimum levels of account over a number of periods. However, under sundry demand rates like intermittent demand, Bayesian Model’s performance has not been analyzed. With the help of a research question, the study investigates that circumstance.


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DOI: http://dx.doi.org/10.17093/aj.2015.3.2.5000140055

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