The ordering lot-sizing problem of multi-items under fuzzy constraints.
模糊约束下的多物品订购问题。
The ordering lot-sizing problem of single item under fuzzy demand condition.
需求模糊情况下的单物品订购问题。
The economic lot-sizing problem of deteriorating item with deterministic dynamic demand and storage constraints is studied.
研究了库存容量有限、需求动态变化且确定的有保质期产品的经济批量问题。
In this paper, the improved particle swarm optimization algorithm for the single level capacitated dynamic lot-sizing problem is presented. The detailed realization of the algorithm is illustrated.
本文提出了用于求解单级多资源约束的生产批量计划问题的改进二进制粒子群算法，阐明了算法的具体实现过程。
A monolithic model of the lot-sizing and scheduling problem based on the JIT strategy has been proposed in this paper, and a heuristic algorithm using integrated method has been designed to solve it.
文章针对基于JIT思想建立的一种批量计划和作业排序集成问题，建立整体模型，设计了一种启发式算法采用集成方法求求解。
The lot sizing problem with fuzzy customer demands and 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 。
A model is established to minimize the cost and solved by the method of integral sorting to obtain the optimal ordering lot sizing, then a numerical example is provided to illustrate the problem.
需求服从三角模糊分布，构建使得成本最低的库存模型，利用积分排序法求解，得到最优订购批量，给出算例分析；
A model is established to minimize the cost and solved by the method of integral sorting to obtain the optimal ordering lot sizing, then a numerical example is provided to illustrate the problem.
需求服从三角模糊分布，构建使得成本最低的库存模型，利用积分排序法求解，得到最优订购批量，给出算例分析；
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