Inventory management models are used widely in practical world and they can help the decision-makers to obtain the optimal production or ordering lot sizing effectively.
库存管理模型在现实生活中有着广泛的应用，为决策者有效地确定最佳生产或订购批量提供帮助。
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；
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。
The system calculates the quantity recorded in the procurement proposal according to the lot-sizing procedure that you specified in the material master.
系统根据批量程序计算补货建议中已经记录的数量，其中批量程序是设置在物料主数据中。
Though we have done some research on ERP for a long time, we still know little about Lot-sizing decision in ERP. We can just apply some simple models in ERP.
尽管业界热衷于ERP研究已经有很长时间了，但是对ERP中的进货批量决策模型的研究还不够深入，通常只是简单套用一些现有的模型并应用到ERP中。
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。
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 multi-items under fuzzy constraints.
模糊约束下的多物品订购问题。
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