Risk analysis and assessment for make-to-order manufacturing

Based on the characteristics of make-to-order manufacturing, risks in enterprises are analyzed, which are encountered when receiving orders. Dividing the whole process into three stages, this paper provides a qualitative explanation of the risky factors, failure rate, risk level and changes of each stage, and then provides a mathematic model of quantitative analysis by using fuzzy sets and an analytical hierarchy process. In the light of the relationship among the three stages, a formula for calculating risk levels of orders is worked out. Meanwhile, both economic and non-economic losses due to an order failure are considered in the assessment system. An actual case is analyzed using the described method. Suggestions for risk prevention or loss reduction are given.

Optimization Model in Manufacturing Scheduling for the Garment Industry

The garment industry in Vietnam is one of the country’s strongest industries in the world.However,the production process still encounters problems regarding scheduling that does not equate to an optimal process.The paper introduces a production scheduling solution that resolves the potential delays and lateness that hinders the production process using integer programming and order allocation with a make-to-order manufacturing viewpoint.A number of constraints were considered in the model and is applied to a real case study of a factory in order to viewhowthe tardiness and latenesswould be affected which resulted in optimizing the scheduling time better.Specifically,the constraints considered were order assignments,production time,and tardiness with an objective function which is to minimize the total cost of delay.The results of the study precisely the overall cost of delay of the orders given to the plant and successfully propose a suitable production schedule that utilizes the most of the plant given.The study has shown promising results that would assist plant and production managers in determining an algorithm that they can apply for their production process.

轴承MTO生产协同制造执行系统建构与应用

面向MTO的轴承生产特征,构建其生产管理的三层系统模型。按照协同制造的资源信息实时可视化、物流控制同步化的要求,对生产基层数据采集和生产物流管理进行系统设计,并完成了一个面向MTO的轴承协同制造系统。

基于熵权TOPSIS的MTO企业订单重要性判定

在订单进入MTO企业阶段进行订单重要性评价,能够使MTO企业更有效地进行订单接受决策和能力分配管理。针对MTO企业订单进入阶段的订单重要性判定问题,建立了基于熵权TOPSIS法的订单重要性综合评价模型。首先确定了订单重要性评价指标,然后使用熵权法确定评价指标的权重,最后采用TOPSIS方法对订单重要性进行评价。

基于MTO生产方式的供应链设计研究

从企业生产模式着手,针对制造业的产品生产特点,分析了MTO(make to order)生产方式下对供应链的个性要求,提出了建立基于核心企业的敏捷供应链思路,并详细阐述了建立此类供应链的具体实现途径。

基于MTO的制造商供应链优化模型

针对基于MTO经营策略的供应链优化模型对运输环节考虑不足的问题,依据运输商、运输方式、线路类型、车型、货物、运送的起始地和终止地等因素对运输费用的共同作用,构建了基于MTO的制造商分阶段线性优化模型,以实现对制造商生产经营活动的优化,并对模型的应用举例说明。

基于平均强化学习的订单生产方式企业订单接受策略

从收益管理思想出发,采用平均强化学习算法研究不确定环境下订单生产(MTO)方式企业的订单接受问题。以最大化平均期望收益为优化目标,采用多级价格机制,把订单类型、价格和提前期的不同组合作为系统状态划分标准,结合平均强化学习原理,提出了具有学习能力的订单接受算法(RLOA)。仿真结果表明,RLOA算法具有学习和选择性接受订单的能力,与其他订单接受规则相比,在平均收益、订单类型接受状况和适应性等方面都有较好表现。

订单式生产下汽车零配件企业采购决策研究

为解决传统JIT模式下供应链非主导的汽车零配件厂面临的巨大交付压力与高昂存货管理成本问题,基于MTO订单式生产下汽配厂的原材料供应现状,对其原材料进行两步分类得出3类原材料,分别建立以最小化存货成本的多周期动态规划模型,并推出其最优采购策略。最后,采用M企业实际运营数据进行对比分析,发现最优策略下的原材料存货周转天数显著缩短、库存成本显著降低,验证了优化策略的可行性及有效性。

订单制造过程的风险研究

将企业承接订单的过程分为三个阶段,对各阶段的风险因子、失败概率、风险水平及其变化运用层次分析和模糊综合评价的方法建立了分析和评价模型。同时根据三个阶段之间的相互关系,进一步构造出整个订单的风险水平计算公式。在此评价体系中,不仅分析了订单失败所带来的经济损失,同时也考虑了订单失败所带来的非经济损失。

订单制造报价工艺设计的研究

在订单制造中,报价工艺设计与常规生产工艺设计的主要区别在于工艺设计的结果不是直接用于指导实际制造,而是为向客户提供具有竞争力的报价提供技术依据,并向客户提供企业生产资源的信息.文章分析了报价工艺的特点,并针对这些特点,提出了报价工艺的设计方法.

订单生产制造企业承诺交货期决策研究

交货期决策对订单生产企业极其关键,研究考虑需求对价格和交货期敏感的市场中,建立了订单生产制造企业交货期决策模型,最优化分析显示存在最优的承诺交货期使企业边际收益达到最大化,并在优化结果的基础上探讨了模型成本参数变化和市场需求敏感性对承诺交货期决策的影响,通过数值算例进一步分析了模型变量对承诺交货期决策的综合作用。