Time Series Based Methods.

<div><p>Demand variability directly affects inventory management. The variability of intermittent demand causes high lost sales or holding costs. While lost sales reduce customer satisfaction, keeping excessive stock also creates high costs for companies. This situation can be prevented...

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Bibliographic Details
Main Author:	Ferhat Yuna (21519851) (author)
Other Authors:	Burak Erkayman (13755675) (author), Mustafa Yılmaz (4700785) (author)
Published:	2025
Subjects:	Sociology Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified tabu search algorithm first evaluated without 4 different sizes lost sales costs increased inventory cost appropriate inventory policy stock level optimization largest costs caused intermittent demands used stock limits computed inventory management process proposed approach contributes markov process balanced inventory management intermittent demands holding costs inventory control optimized limits negativities caused proposed approach markov approach intermittent demand namely stock markov process upper limit simulated annealing randomly generated past period metaheuristic methods mathematical model main contribution good tool fitness function
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Time Series Based Methods.

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