TBL理论下3C产品可持续闭环物流网络模糊优化  

Fuzzy Optimization of 3C Product Sustainable Closed-Loop Logistics Network Under TBL Theory

作　　者：霍晴晴 郭健全[1] HUO Qingqing;GUO Jianquan(Business School,University of Shanghai for Science and Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学管理学院,上海200093

出　　处：《计算机工程与应用》2020年第19期237-243,共7页Computer Engineering and Applications

基　　金：国家自然科学基金(No.71071093,No.71471110);上海市自然科学基金(No.10ZR1413300);上海市科委创新项目(No.16DZ1201402,No.16040501500);陕西省社会科学基金(No.2015D060)。

摘　　要：针对3C产品更新换代快、回收量不确定、回收处理不当危害大的特点,采用TBL(三重底线法)理论,考虑最低成本、最小环境影响、最大社会效益,构建了不确定环境下3C产品可持续闭环物流网络模型。为求解该模型,将回收量看成三角模糊参数,利用模糊机会约束方法将模糊约束转化为等价的清晰条件;并通过定义目标隶属度对模型中的子优化目标进行模糊化,将原始优化问题转换为基于最大满意度的单目标优化问题。以某市3C产品为例,通过遗传算法求解该模型,对比验证了模型的有效性。In view of the 3 C products’ characteristics of rapid replacement, uncertain recovery amount and hazardous to environment if handled improperly, a sustainable closed-loop logistics network model under uncertain environment is established by adopting TBL(Triple Bottom Line method)theory with the consideration of the lowest cost, the smallest environmental impact and the greatest social benefits. In order to solve the model, the recovery quantity is regarded as a triangular fuzzy parameter, and the fuzzy constraint is transformed into an equivalent clear condition by using the fuzzy opportunity constraint method. The sub-optimization objectives in the model are fuzzified by defining the objective membership degree, and the original optimization problem is transformed into a single-objective optimization problem based on the maximum satisfaction degree. Taking 3 C products in Shanghai as an example, the model and its effectiveness is solved by genetic algorithm with a comparison of calculating results of various objectives.

关 键 词：TBL理论 3C产品 可持续闭环物流网络 模糊优化 

分 类 号：F272[经济管理—企业管理]