自动化车床最优刀具检测更换模型

本文通过对自动化车床 1 0 0次刀具故障的记录进行数理统计分析 ,研究了自动化车床连续加工单一零件时刀具的检测及更换模型 .首先利用概率大样本场合的 D检验方法证明了刀具的故障发生规律服从正态分布 [1] ,继而求出系统工序的寿命分布函数 [2 ] ,列出以合格零件单位期望损失为目标 ,关于检测间隔和刀具定期更换间隔为变量的多目标函数方程 ,最后利用计算机进行列举比较求解 ,从而得出取得最大经济效益的系统工序的最优检测间隔以及最优刀具更换策略 .由于刀具的故障发生服从正态分布 ,我们对模型进行了改进 ,采取有规律的不等间隔的检查方式 ,结果取得了相对于等检查间隔的更优解 .本文利用算法较好地解决了问题 ,得到了问题的优化解 .对于问题 1 ,解得换刀间隔和检查间隔分别为369和 1 8,单位合格零件损失 4 .61 5元 ,采用不等间隔的损失为 4 .4 0 5元 ;对于问题 2 ,由于情况复杂 ,解得换刀间隔和检查间隔分别为 30 6和 2 8,单位合格零件损失 9.2 68元 ,采用不等间隔的损失为 9.0 4 7元 ,从而验证了本文提出的不等间隔检查方式的更优性     

车床管理优化模型

本文讨论了自动化车床连续加工零件工序定期检查和刀具更换的最优策略 .针对问题一 ,应用管理成本理论结合概率统计方法 ,建立定期检查调节零件的平均管理成本的优化设计模型 ,通过计算机求解、模拟 ,得到工序设计效益最好的检查间隔和刀具更换间隔 .针对问题二 ,在问题一的基础上 ,利用概率知识调整了检查间隔中的不合格品数带来的平均损失 ,同时加上了因工序正常而误认为有故障停机产生的平均损失 ,然后建立起目标函数 ,得到工序设计效益最好的检查间隔和刀具更换策略 .对于工序故障采用自动检查装置 ,设计出了自动检查调节系统 ,并给出了算法框图 ,有效地避免工序正常而误认为有故障停机损失 ,提高工序效益     

有采购提前期的两部件串联系统的更换策略

研究了由两个不同型部件组成的串联系统的最优更换策略,当部件需要更换时,新的同型部件需要提前订购.当部件发生故障时对其进行维修,维修后的工作时间形成随机递减的几何过程,且每次故障后的修理时间形成随机递增的几何过程.以部件更换前的故障次数(N_1,N_2)为策略,以系统经长期运行单位时间内的期望费用最小为目标,研究了二维最优策略问题,给出了寻找最优策略的方法和数值分析.     

修理工可单重休假的预防维修更换策略

本文研究了一个修理工带有单重休假的单部件可修系统.为了延长系统的使用寿命,在系统故障前考虑了预防维修,且假定预防维修能够“修复如新”,而故障维修为“修复非新”时,以系统的故障次数N为更换策略.通过更新过程和几何过程理论,得出系统经长期运行单位时间内期望费用的明显表达式,并对预防维修的定长间隔时间T及更换策略N进行了讨论,最后,通过实例分析,求出最优策略N’,使得目标函数取得最优值.     

修理工单重定期休假可修系统更换模型研究

针对修理工带有单重休假的单部件可修系统,提出了一种新的维修更换模型.假定系统是可修的,逐次故障后的维修时间构成随机递增的几何过程,系统工作时间构成随机递增的几何过程,在修理工休假时间为定长的情况下,分别选取系统的总工作时间T和故障维修次数N为更换策略,以长期运行单位时间内的期望效益为目标函数,通过更新过程和几何过程理论建立数学模型,导出了目标函数的解析表达式,通过最大化目标函数来获取系统最优的更换策略T*和N*.并在一定条件下给出了策略N比策略T优的充分条件.最后,通过数值例子验证了方法的有效性.     

带有多重休假及预防维修的冲击模型二维更换策略

研究了修理工带有多重休假且定期检测的累积冲击模型.为了延长系统的运行时间,在检测时考虑了预防维修.将事后维修和预防维修结合起来运用于可修系统,且假定预防维修能够"修复如新",而事后维修为"修复非新".以系统的检测周期和故障次数为二维决策变量,选取系统经长期运行单位时间内期望费用为目标函数.并通过数值分析,求出了最优策略.     

一般δ-冲击模型及其最优更换策略

本文讨论了一种具有一般δ-冲击的可修系统，我们不仅给出了该系统的一些可靠性指标，如系统的可靠度，系统平均工作时间，系统工作时间的极限分布等，而且对该可修系统的分布性质也进行了研究．在Poisson冲击下，我们证明了该系统的寿命分布是NBU的．在该系统为”修复非新”时，我们利用几何过程考虑了以系统的故障次数N为更换策略，以长期运行单位时间内的期望费用为目标函数，通过目标函数最小化确定了最优更换策略．最后我们给出了一个数值例子．     

自动化车床管理

本文对自动化车床管理问题进行了讨论 ,将检查间隔和刀具更换策略的确定归结为单个零件期望损失最小的一个优化问题 ,并提供了有效算法 .对问题一 ,得到检查间隔τ0 =1 8,定期换刀间隔τ1=34 2 ,相应的单个零件期望损失费用 C=4 .75元的最优解 ,并用蒙特卡罗法对结果进行了模拟检验 .对问题二 ,得到检查间隔τ0 =1 1 ,定期换刀间隔τ1=2 4 2 ,单个零件期望损失费用 C=7.2 2元 .对问题三 ,我们采用新的改进方案使单个零件期望损失费用降为 5.34元 .本文还对变检查间隔、参数灵敏性、误差分析等进行了讨论 .     

关于汽车追尾冲击模型的维修策略

讨论了关于汽车追尾的冲击模型的可修系统．在系统不能修复如新的条件下,假定汽车运行时间构成随机递减的几何过程,逐次追尾后的维修时间构成随机递增的几何过程．分别考虑汽车按比例保修和免费保修条件下,以汽车追尾次数N为策略,以车主在汽车长期运行单位时间内的期望费用为目标函数,导出目标函数的解析表达式P1（N）与P2（N）．最后,通过实例分析,求出最优策略N＊,使得车主在汽车长期运行单位时间内的期望费用最小．     

考虑非周期检测的视情维修与备件订购联合策略优化

针对单部件系统/关键部件提出视情维修与备件订购联合策略,其中系统退化服从两阶段延迟时间过程且采用非周期检测策略,退化初期以检测间隔T₁检查系统状态,而在第一次识别缺陷状态时,缩短检测周期为T₂、订购备件且进行不完美维修;若系统在随后的退化中被识别处于缺陷状态,执行不完美维修直至超过阈值次数N_max并采取预防性更换,但若在检测周期内发生故障则进行更换。根据系统状态和备件状态分析各种可能更新事件及相应的联合决策,利用更新报酬理论构建最小化单位时间内期望成本的目标函数,优化T₁,T₂, N_max。与对比模型策略相比,算例结果表明所提出的联合策略能有效降低单位时间内的期望成本。     

A marginal cost analysis for prevetive replacement policies

Some well known preventive replacement policies are each characterized by a single parameter which governs the sequence of planned replacements. In this paper we define and compute for any one of these policies the marginal cost of a planned replacement in terms of the policy parameter. This function is used to obtain the equation of optimality, with respect to two common objective functions: the expected cost per unit time and the expected total discounted costs, and to investigate the existence of a unique finite solution. Moreover, the marginal cost notion provides reasoning to the mathematical results of the models and thereby clarifies the effect of the various components of the model on these results. This better insight into models is perhaps the most important benefit of a marginal cost analysis.     

Cost optimal replacement of monotone,repairable systems

In this paper we study the optimal replacement problem of a monotone system comprising n components, where the components are “minimally” repaired at failures. The optimality function studied is the long run expected cost per unit of time. Different categories of replacement policies are investigated.     

A cast-off replacement policy for a component demanded by two parallel units

Sometimes a component is removed and thrown away from a unit when it is not working satisfactorily: this could be wasteful in many cases. Some components after removal from a unit may work satisfactorily in another less demanding parallel unit, for a reasonable length of time. Therefore, in this paper we present a cast-off replacement policy that makes maximum utilization of a component that is non-repairable and demanded by two parallel units. A minimum total cost objective function is assumed.     

Optimal Replacement Policy for a General Model with Imperfect Repair

A general model is considered which incorporates imperfect repair and repair cost which depends on time and on the number of repairs in the cycle. This model is an extension of models examined previously in the literature. The objective of this paper is to find the optimal replacement policy and compare it with the replacement policies considered earlier for some variants of this model. The form of the optimal replacement policy is found in the general case and the expected average cost per unit time is derived in two special cases. Numerical examples show that the optimal policy is considerably better than the optimal periodic policy. This paper generalizes and unifies previous research in the area.     

Optimal inspection policy for three-state systems monitored by control charts

This paper presents the formulations of the expected long-run cost per time unit for a system monitored by a static control chart and by an adaptive control chart respectively. The static chart has a fixed sampling interval and a fixed sample size. The adaptive chart has a fixed sample size but variable sampling intervals. The system is supposed to have three states, normal working state, failure delay time state, and failed state. Two levels of repair are used to maintain the system. A minor repair is used to restore the system if a detectable defect is confirmed by an inspection. A major repair will be performed if the system fails. The expected cost per time unit for maintaining such a system is obtained. The objective of such analysis is to find an optimal sampling policy for the inspection process. An artificially generated data example and a real data example are used to compare the expected cost per time unit for both the static and adaptive control charts.     

Optimal replacement policy for a multistate repairable system

In this paper, a deteriorating simple repairable system with k + 1 states, including k failure states and one working state, is studied. The system after repair is not ‘as good as new’ and the deterioration of the system is stochastic. Under these assumptions, we study a replacement policy, called policy N, based on the failure number of the system. The objective is to maximize the long-run expected profit per unit time. The explicit expression of the long-run expected profit per unit time is derived and the corresponding optimal solution may be determined analytically or numerically. Furthermore, we prove that the model for the multistate system in this paper forms a general monotone process model which includes the geometric process repair model as a special case. A numerical example is given to illustrate the theoretical results.