A finite horizon deteriorating inventory model with two-phase pricing and time-varying demand and cost under trade credit financing using particle swarm optimization

作者：Dye Chung Yuan^*

来源：Swarm and Evolutionary Computation, 2012, 5: 37-53.

DOI：10.1016/j.swevo.2012.03.002

• Inventory
• Time-varying demand
• Trade credit financing
• Particle swarm optimization

In this paper, we consider a deterministic economic order quantity model with generalized type demand, deterioration and unit purchase cost functions under two levels of trade credit policy. Our objective is to find the optimal values of selling prices, replenishment number and replenishment scheme which maximize the total profit over the finite planning horizon. We establish the inventory system and provide structural properties of the optimal solution that facilitate computation. A particle swarm optimization with constriction factor is coded and used to solve the mixed-integer nonlinear programming problem by employing the properties derived from this paper. At the end, some numerical examples are used to illustrate the features of the proposed model.

• 出版日期2012-8