School of Economics and Management, Chongqing Jiaotong University, Chongqing, 400074, P.R. China.
School of Business Administration, Guizhou University of Finance and Economics, Huaxi University Town, Guiyang, 550025, P.R. China.
PLoS One. 2018 Jun 1;13(6):e0194738. doi: 10.1371/journal.pone.0194738. eCollection 2018.
In business replenishment, discount offers of multi-item may either provide different discount schedules with a single discount type, or provide schedules with multiple discount types. The paper investigates the joint effects of multiple discount schemes on the decisions of multi-item joint replenishment. In this paper, a joint replenishment problem (JRP) model, considering three discount (all-unit discount, incremental discount, total volume discount) offers simultaneously, is constructed to determine the basic cycle time and joint replenishment frequencies of multi-item. To solve the proposed problem, a heuristic algorithm is proposed to find the optimal solutions and the corresponding total cost of the JRP model. Numerical experiment is performed to test the algorithm and the computational results of JRPs under different discount combinations show different significance in the replenishment cost reduction.
在商业补货中,多件商品的折扣优惠可以采用单一折扣类型提供不同的折扣计划,也可以采用多种折扣类型提供计划。本文研究了多种折扣方案对多件商品联合补货决策的联合影响。在本文中,构建了一个同时考虑三种折扣(整批折扣、增量折扣、总量折扣)优惠的联合补货问题(JRP)模型,以确定多件商品的基本周期时间和联合补货频率。为了解决所提出的问题,提出了一种启发式算法来寻找最优解和 JRP 模型的总成本。进行了数值实验来测试算法,不同折扣组合下的 JRPs 的计算结果表明在补货成本降低方面具有不同的意义。