An Optimal Inventory Replenishment Strategy with Cross-docking System and Time Window Problem

This study discussed the innovative products is not only considering shorter product life cycle (PLC), but also facing changeable variation of demand from the market with diversified customers. It is important to apply different price discounts for providing effective price strategy, so that it can correspond to different demands from their downstream. Therefore, this study formulates the model of the minimal overall associate costs subject to time window constraint and service level (SL) with considering the cross-docking operating techniques, price discount strategy and stock-out is admitted. This study is focused on an innovative and high-tech inventory replenishment problem considering cross- docking operating system, uncertain demand, comprehensive ordering system (s, T, Q), service level and time window with multi-suppliers, multi-periods and quantity discount. Therefore, stochastic optimization meta-heuristic algorithm- Particle Swarm Optimization Retrospective Approximation (PSORA) method is applied to solve the integrated inventory replenishment model. This study will provide marginal insights in managing the supply chain of consumer electronic innovative products and reducing the total operating cost.