摘要
为提高企业回收积极性,构建了一个以以旧换新为收购方式的新的逆向物流网络优化设计的混合整数非线性规划(mixed-integer nonlinear programming,MINLP)模型,以确定最优选址(位置和数量)和折扣价格,使回收中心净利润最大。提出了启发式算法来解决大规模选址问题,并利用算例验证了模型和算法的有效性和可行性。最后分别算例分析了企业的品牌差异和采用两种策略(单一折扣价格策略和质量依赖折扣价格策略)对回收中心净利润的影响。
In order to enhance the collecting initiative, we formulate , in this paper, a new mixed--integer nonlinear facility location model of reverse logistics network for the trade--in acquisition method to find out both the optimal location of facility and the optimal rebate for trade--in, as so to maximum net profits of collection centers. We also propose a heuristic method to solve the large-sized instance for our model and the computational result of the instances illustrate the efficiency and feasibility of the above models and methods.. Finally, we analysis the influence on net profits of collection centers respectively by numerical simulation examples from two aspects： the leading enterprise＇s Brand differences and adopting two strategies（Uniform incentive strategy and quality-dependent incentive strategy）.
出处
《中国管理科学》
CSSCI
北大核心
2011年第6期65-72,共8页
Chinese Journal of Management Science
基金
国家自然科学基金资助项目(70871125)
重庆市自然科学基金项目资助(2006BB0188)
