Research of vehicle routing problem under condition of fuzzy demand;

模糊需求信息条件下的车辆路径问题研究

Optimization model for order quantity allocation with fuzzy demand;

模糊需求条件下的采购量分配优化模型

This paper focuses on a chance constrained programming approach in modeling and optimization for aggregate production planning problems with multiproduct under fuzzy demands, fuzzy capacities and financial constraints environment.

对具有模糊需求量、模糊加工能力约束以及资本水平约束的多品种类集约生产计划的机会约束规划描述和求解方法进行了研究。

By means of fuzzy addition and fuzzy equation, the productioninventory balance equations in single stage and dynamic balance equations are formulated as a soft equation in terms of a degree of truth and interpreted as the level of satisfaction with production and inventory planning to meet fuzzy demand.

提出具有模糊需求量和模糊能力约束以及资本水平约束的多品种类集约生产计划问题的模糊优化模型及模糊解方法。

The lot sizing problem with fuzzy customer demandsand multi technological constraints was studied by taking advantage of the fuzzy set theory and the idea of tolerance.

基于模糊集理论与容差法思想 ,研究了具有模糊客户需求与多工艺约束的批量生产计划问题 ,采用遗传算法寻找优化的计划方案 。

Based on centroid eigenvalue of possibility distribution function,this paper presents a profit model for determining the order quantity of newsboy problem with discrete fuzzy demand.

基于可能性分布函数质心特征值,本文建立了确定离散模糊需求报童问题订货量的利润模型,并分析了成本模型和利润模型的关系。

Based on credibility theory,the expected cost and profit models for determining the order quantities of newsboy problem with discrete fuzzy demandare presented,and are compared with a model based on centroid eigenvalue of possibility theory.

基于可信性理论,建立了确定离散模糊需求报童问题订货量的期望成本与利润模型,并与基于可能性理论的质心特征值分析模型进行了比较。