A GA algorithm for a two –echelon inventory system with space constraint & compare this with simulated annealing

One of the key areas of operations and supply chain management is inventory control. Inventory control determines which quantity of a product should be ordered when to achieve some objective , such as minimizing cost. This paper presents a two-echelon non-repairable spare parts inventory system that consists of one warehouse with space constraint and m identical retailers and implements the reorder point, order quantity (R,Q) inventory policy . We formulate the policy decision problem in order to minimize the total annual inventory investment subject to average annual ordering frequency and expected number of backorder constraints

Keywords:

Two –echelon inventory system , Space constraint , Genetic , Simulated annealing