基于TOC & MIRP的多产品双渠道补货模型

针对拥有零售商和网络直销渠道并伴有顾客转移的多产品二级供应链,研究其在需求显著变化的转换期内的补货优化模型.将基于约束理论的供应链补货系统(TOC-SCRS)运用到上游制造商节点,下游零售商运用改进后的整数比(M-IRP)策略.以供应链的补货、库存和缺货成本为优化目标,考虑顾客满意度和库容量约束,应用遗传算法比较M IRP、整数比(IRP)和传统(s,S)策略,并进行灵敏度分析.结果表明M IRP和IRP策略下的供应链总成本与(s,S)策略的相对差异为15.36%和11.19%,同时验证了在不同参数变化情况下该策略的优势.

Replenishment Policy for a Dual channel Supply Chain Model with Multi products Based on TOC & MIRP

A coordinated replenishment policy is discussed for a two-echelon dual-channel supply chain model with multi-products in dynamic demand conversion periods. The application of TOC-SCRS in manufacturer determines the replenish frequency in manufacturer warehouse. The retail store employed modified integer-ratio policy to synchronize the replenishment between each node and each product, and increase inventory turnover rate. The objective of this model is to minimize the sum of replenishment cost, inventory cost and the shortage cost, subject to the customer satisfaction and storage capability constraints. Finally, a numerical experiment based on modified GA is presented to compare three strategies with sensitivity analysis. Numerical experiment results show that compared with (s, S) strategy, 15.36% and 9.74% gaps are gained by M-IRP and Integer-ratio policy.