A parameter-tuned genetic algorithm to optimize two-echelon continuous review inventory systems

► A one-warehouse m-retailers supply chain with non-repairable items is considered. ► A mathematical model to minimize the total annual inventory subject to constraints on the average annual order frequency, expected number of backorders, and budget is developed. ► A parameter-tuned GA is proposed t...

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Vydáno v:	Expert systems with applications Ročník 38; číslo 9; s. 11708 - 11714
Hlavní autoři:	Pasandideh, Seyed Hamid Reza, Niaki, Seyed Taghi Akhavan, Tokhmehchi, Nafiseh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.09.2011
Témata:	Budgeting Continuous review policy Expert systems Genetic algorithm Genetic algorithms Inventories Mathematical models Meta-heuristic algorithms Multi-echelon inventory Nonlinear-integer programming Policies Stockings Stockpiling Meta-heuristic algorithms Nonlinear-integer programming Genetic algorithm Multi-echelon inventory Continuous review policy
ISSN:	0957-4174, 1873-6793
On-line přístup:	Získat plný text
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