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 qualitat...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.展开更多
在MTO(Make to Order)生产模式的制造企业中,经常存在多订单项目并行的情况。以满足资源约束为前提,优化多订单项目生产任务并行调度过程,成为该类企业关心的焦点问题。针对这一问题,根据任务并行调度的特点,建立了任务调度的目标函数,...在MTO(Make to Order)生产模式的制造企业中,经常存在多订单项目并行的情况。以满足资源约束为前提,优化多订单项目生产任务并行调度过程,成为该类企业关心的焦点问题。针对这一问题,根据任务并行调度的特点,建立了任务调度的目标函数,并采用一种改进了的遗传算法求解目标函数。该遗传算法用矩阵式染色体表示资源与生产任务之间的调度关系,采用突变机制来解决进化过程停滞问题,提高算法的搜索能力,并保留父代种群的优秀染色体,防止遗传过程中祖代优秀染色体丢失。展开更多
基于按订单生产(make to order,MTO)和按库存生产(make to stock,MTS)两种生产模式的产品,考虑可以忽略生产方式转变带来的安装费用及其它固定费用的情况,建立混合MTO/MTS模式下有限期的Markov决策过程(finite Markov decisio...基于按订单生产(make to order,MTO)和按库存生产(make to stock,MTS)两种生产模式的产品,考虑可以忽略生产方式转变带来的安装费用及其它固定费用的情况,建立混合MTO/MTS模式下有限期的Markov决策过程(finite Markov decision process,FMDP)模型.比较研究随机需求下同一生产系统混合生产MTO和MTS产品时,MTO优先模式、MTS优先模式与基于FMDP模型的混合MTO/MTS模式(FMDP混合模式)的效率问题.结果表明,MTO订单量、MTS库存量和产品需求强度是影响FMDP混合模式决策的关键因素,而剩余决策期数、单位MTO订单延迟交货罚金和MTS处理成本则只会在短期内对生产决策产生影响;同时,当企业MTO订单量减少或者MTS产品需求强度降低时,FMDP混合模式比MTS优先模式更优;当MTS产品库存量降低或者MTO产品需求强度降低时,FMDP混合模式同样优于MTO优先模式.展开更多
文摘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.
文摘在MTO(Make to Order)生产模式的制造企业中,经常存在多订单项目并行的情况。以满足资源约束为前提,优化多订单项目生产任务并行调度过程,成为该类企业关心的焦点问题。针对这一问题,根据任务并行调度的特点,建立了任务调度的目标函数,并采用一种改进了的遗传算法求解目标函数。该遗传算法用矩阵式染色体表示资源与生产任务之间的调度关系,采用突变机制来解决进化过程停滞问题,提高算法的搜索能力,并保留父代种群的优秀染色体,防止遗传过程中祖代优秀染色体丢失。
文摘基于按订单生产(make to order,MTO)和按库存生产(make to stock,MTS)两种生产模式的产品,考虑可以忽略生产方式转变带来的安装费用及其它固定费用的情况,建立混合MTO/MTS模式下有限期的Markov决策过程(finite Markov decision process,FMDP)模型.比较研究随机需求下同一生产系统混合生产MTO和MTS产品时,MTO优先模式、MTS优先模式与基于FMDP模型的混合MTO/MTS模式(FMDP混合模式)的效率问题.结果表明,MTO订单量、MTS库存量和产品需求强度是影响FMDP混合模式决策的关键因素,而剩余决策期数、单位MTO订单延迟交货罚金和MTS处理成本则只会在短期内对生产决策产生影响;同时,当企业MTO订单量减少或者MTS产品需求强度降低时,FMDP混合模式比MTS优先模式更优;当MTS产品库存量降低或者MTO产品需求强度降低时,FMDP混合模式同样优于MTO优先模式.