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An Optimal Decision Model of Production-Inventory with MTS and ATO Hybrid Model Considering Uncertain Demand

机译：考虑不确定需求的MTS生产库存最优决策模型与ATO混合模型

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摘要

This paper presents an optimization decision model for a production system that comprises the hybrid make-to-stock/assemble-to-order (MTS/ATO) organization mode with demand uncertainty, which can be described as a two-stage decision model. In the first decision stage (i.e., before acquiring the actual demand information of the customer), we have studied the optimal quantities of the finished products and components, while in the second stage (i.e., after acquiring the actual demand information of the customer), we have made the optimal decision on the assignment of components to satisfy the remaining demand. The optimal conditions on production and inventory decision are deduced, as well as the bounds of the total procurement quantity of the components in the ATO phase and final products generated in the MTS phase. Finally, an example is given to illustrate the above optimal model. The findings are shown as follows: the hybrid MTS and ATO production system reduces uncertain demand risk by arranging MTS phase and ATO phase reasonably and improves the expected profit of manufacturer; applying the strategy of component commonality can reduce the total inventory level, as well as the risk induced by the lower accurate demand forecasting.
机译：本文提出了一种生产系统的优化决策模型，该模型包括具有需求不确定性的按订单生产/按订单组装的混合组织（MTS / ATO）组织模式，该模型可以描述为两阶段决策模型。在第一个决策阶段（即，在获取客户的实际需求信息之前），我们研究了成品和组件的最佳数量，而在第二阶段（即，在获取了客户的实际需求信息之后） ，我们已针对组件分配做出了最佳决策，以满足剩余需求。得出生产和库存决策的最佳条件，以及在ATO阶段中组件的总采购数量和在MTS阶段中生成的最终产品的界限。最后，给出一个例子说明上述最优模型。研究结果表明：MTS和ATO混合生产系统通过合理安排MTS阶段和ATO阶段，降低了不确定的需求风险，提高了制造商的预期利润。应用组件共有性策略可以降低总库存水平，并降低准确的需求预测所带来的风险。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第10期|241536.1-241536.12|共12页
  • 作者

    Zhang Dezhi; Li Xialian; Li Xiamiao; Li Shuangyan; Qian Qi;

  • 作者单位

    Cent S Univ, Sch Traff & Transportat Engn, Changsha 410075, Hunan, Peoples R China.;

    Cent S Univ, Sch Traff & Transportat Engn, Changsha 410075, Hunan, Peoples R China.;

    Cent S Univ, Sch Traff & Transportat Engn, Changsha 410075, Hunan, Peoples R China.;

    Cent South Univ Forestry & Technol, Forestry Engn Doctoral Res Ctr, Changsha 410004, Hunan, Peoples R China.;

    Cent S Univ, Sch Traff & Transportat Engn, Changsha 410075, Hunan, Peoples R China.;

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