Developing a Mathematical Model for Order Quantity Optimization by Considering Discount

Ina Mehta, Kalpana Gill
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Abstract

This work is aimed at presenting a mathematical model for determining the optimal order in-extenuating conditions (All Unit Discount, Incremental Discount). The expected results are producing several kinds of multi-supplier and multi-time periods with regards to inventories, demand, suppliers' capacity, storage space, and budget constraints in order. It is desirable to minimize the purchasing costs, storage and ordering while considering the lack of needed materials at specified times. To confirm the efficiency of the proposed model in solving purchase planning problems in real world, it has been applied in Asian Oil Turbo Compressor Design Corporation and received approval from the obtained results and experts’ comments. To solve the designed model, the GAMS software is used. Also, model sensitivity analysis and usable results in management decision making based on the importance of proposed matters (shortage reduction in each period and demand increase effect on final cost) are then presented.
考虑折扣的订单数量优化数学模型
这项工作的目的是提出一个数学模型,以确定最优的订单在宽减条件(所有单位折扣,增量折扣)。预期的结果是根据库存、需求、供应商能力、存储空间和预算约束,按顺序产生几种多供应商和多时间段的产品。考虑到在规定时间内缺少所需材料的情况下,尽量减少采购成本、储存和订购是可取的。为了验证该模型在解决实际采购计划问题中的有效性,将其应用于亚洲石油涡轮压缩机设计公司,并得到了计算结果和专家意见的认可。利用GAMS软件对所设计的模型进行求解。此外,模型敏感性分析和基于建议事项的重要性的管理决策可用结果(每个时期的短缺减少和需求增加对最终成本的影响),然后提出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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