弹药抽样方案仿真研究

众所周知,弹药产品生产出来后要进行各种性能验收检验,合格后才能投入部队使用。这些检验有的是非破坏性的,有的是破坏性的。对于破坏性的检验,就只能抽样检验。对于如何制订抽样检验方案,以满足产品承制方和部队的要求,是制订抽样检验方案的关键性问题。如果产品的验收方案制订过严,在满足部队使用可靠、安全的条件下,对产品质量过高要求,造成产品成本增加,在执行检验验收过程中,将会造成大量批产品不合格,甚至于报废,损害了承制方的利益。相反,如果验收方案制订过宽,抽样方案起不到质量把关的作用,将会造成大量的不合格批产品投入部队使用…     

弹药抽样方案系统仿真浅探

弹药产品检验有的是非破坏性的,有的是破坏性的。对于破坏性的检验,就只能抽样检验。对于如何制订抽样检验方案以满足产品承制方和部队的要求,是制订抽样检验方案的关键性问题。如果产品的验收方案制订过严,在满足部队使用可靠、安全的条件下,对产品质量过高要求,造成产品成本增加,在执行检验验收过程中,将会造成大量批产品不合格,甚至于报废,损害了承制方的利益。相反,如果验收方案制订过宽,抽样方案起不到质量把关的作用,将会造成大量的不合格批产品投入部队使用,在战场上贻误战机,对于弹药产品甚至危及战士的生命安全。也就是说,对于小于…     

成败型产品一次抽样检验方案研究

首先推导出了同时能满足检验上限、检验下限、生产方风险、使用方风险要求的一次抽样检验方案设计公式，并用GB/T 5080.5-1985中的数据验证了公式的正确性。之后推论出了同一产品在不同试验方案的鉴定结果可能完全相反。最后建议，应在鉴定试验前尽可能知晓产品的可靠性水平，从而可有目的地选择或设计试验方案，以求产品高概率通过鉴定试验。     

女监造官的“三美”人生

【人物名片】康莉,通信与信息工程专业硕士,先后参与完成了6个型号导弹定型列装和批生产、批抽检任务,20多次参加全军、二炮联合作战演习和靶场飞行试验,1次荣立二等功、2次荣立三等功,多次被评为优秀军代表、质量工作先进个人、优秀共产党员。     

确定相对体制雷达对不同飞机性能的检飞标准

如何在不同检飞机型的条件下,检验防空导弹武器系统制导雷达的性能,是工程上亟待解决的技术问题。将实践经验和理论分析充分结合,本着经济实用的原则,提出了"对比检飞、等信噪比和等概率"的指标转换方法,确定了不同检飞机型的评定标准。通过实际应用,证明确定的标准切合实际。     

导弹试验质量综合效能评估方法

提出了导弹试验质量综合效能的基本概念,在分析导弹试验的基础上,确定了试验质量综合效能评估指标,建立了试验质量综合效能评估模型,并基于功能系数法给出了试验质量综合效能评估方法。对于深入开展导弹试验质量综合效能评估研究具有一定的参考价值,同时也对试验方案设计、具体实施以及结果评定的合理性、有效性具有一定的促进作用,从而进一步提高导弹试验质量综合效能,使导弹试验鉴定更加贴近实战化。     

分层抽样方法在战斗部破片抽样中的应用

为了在导弹单发杀伤概率计算中统计命中目标破片数,在工程实践的基础上给出了一种破片抽样方法———破片分层抽样法,该方法抽样结果与战斗部地面试验统计得出的破片分布密度规律一致。     

回归分析在舰舰导弹火控模型中的应用

为评价火控系统数学模型的有效性,以舰舰导弹火控系统试验数据为基础,通过逐步回归分析方法建立了导弹火控系统射击参数的回归模型。经静态标准题验证和导弹火控系统航行试验检验,回归模型解算结果满足精度要求。比较结果表明,逐步回归分析方法对评价舰舰导弹火控系统模型有效性是适用和有效的。     

时尚李鸿

李鸿档案李鸿,女,空军某试训基地导弹测试站副站长,空军机载武器试验总体专业最年轻的青年专家,空军高层次科技人才培养对象,荣立三等功2次,并多次作为基地优秀知识分子代表,受到原军委江主席和其他领导人的接见。第五届“全军十大学习成才标兵”、第十届全国政协委员、“全国三八红旗手”。今年36岁的李鸿出生在富庶的珠江三角洲的广东顺德。1984年夏天,高考填报志愿,她一气儿全填了和导弹技术相关的大学和专业,并以高出清华大学当年录取线40分的成绩被西北工业大学录取。1988年,李鸿大学毕业,她放弃了导师留校的挽留和科研单位的邀请,毅然投身西北大漠圆自己的导弹梦。十几年来,她从导弹测试技术员干到副站长,无数导弹在她手中完成定型试验和批生产检验。     

【专题】智能化导弹质量检测方法研究

导弹是由各种类型装备组成的综合性很强的复杂系统,智能技术的引入进一步丰富了智能导弹质量特性的内涵,对质量检测和控制提出了更高要求,需要开发与之相适应的检测方法。本文先给出了智能导弹的定义和内涵,分析了其智能特性,接着概述了智能化导弹的结构组成,分析了各智能部件的功能和结构组成,从智能化导弹结构组成及测试参数、智能化部件的嵌入式软件作用、零部件机械加工精度等方面提出了智能化导弹质量检测的需求,并在此基础上结合智能化制造等技术提出了在线检测、自动检测/测试、BIT自检、软件测评技术以及弹载遥测的智能化导弹质量检测途径和方法。     

A cost analysis of sampling inspection under Military Standard 105D

Military Standard 105D has been almost universally adopted by government and private consumers for the lot-by-lot sampling inspection of product which may be inspected on a dichotomoun basis The plan specifies, for each lot size, a random sample size and set of acceptance numbers (maximum allowable number of defectives in each sample). The acceptance numbers are based upon the binomial distribution and depend upon the quality required by the purchaser. Where several consecutive lots are submitted, a shift to less severe (“reduced”) inspection or more severe (“tightened”) inspection is specified when the ongoing quality is very high or low. Further experience permits a return to normal sampling from either of these states This paper examines the long range costs of such a sampling scheme. The three inspection types are considered as three distinct Markov chains, with periodic transitions from chain to chain. The expected sample size and the expected proportion of rejected product are determined as a function of the two parameters under control of the manufacturer, lot size and product quality. Some numerical examples are given which illustrate how to compute the overall cost of sampling inspection. Suggestions are made concerning the choice of parameters to minimize this cost.     

Sequential and systematic sampling plans for the Markov‐dependent production process

Acceptance sampling plans are used to assess the quality of an ongoing production process, in addition to the lot acceptance. In this paper, we consider sampling inspection plans for monitoring the Markov‐dependent production process. We construct sequential plans that satisfy the usual probability requirements at acceptable quality level and rejectable quality level and, in addition, possess the minimum average sample number under semicurtailed inspection. As these plans result in large sample sizes, especially when the serial correlation is high, we suggest new plans called “systematic sampling plans.” The minimum average sample number systematic plans that satisfy the probability requirements are constructed. Our algorithm uses some simple recurrence relations to compute the required acceptance probabilities. The optimal systematic plans require much smaller sample sizes and acceptance numbers, compared to the sequential plans. However, they need larger production runs to make a decision. Tables for choosing appropriate sequential and systematic plans are provided. The problem of selecting the best systematic sampling plan is also addressed. The operating characteristic curves of some of the sequential and the systematic plans are compared, and are observed to be almost identical. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48: 451–467, 2001     

The optimum design of multivariate acceptance sampling plans

A model is developed which may be used to determine the expected total cost of quality control per inspection lot under acceptance sampling by variables where several characteristics are to be simultaneously controlled. Optimization of the model is accomplished through the application of a conventional search procedure. The sensitivity of the model and the optimum solution to the shape of the underlying probability distributions is discussed and associated analyses are presented through an example.     

Production to order and off‐line inspection when the production process is partially observable

This study combines inspection and lot‐sizing decisions. The issue is whether to INSPECT another unit or PRODUCE a new lot. A unit produced is either conforming or defective. Demand need to be satisfied in full, by conforming units only. The production process may switch from a “good” state to a “bad” state, at constant rate. The proportion of conforming units in the good state is higher than in the bad state. The true state is unobservable and can only be inferred from the quality of units inspected. We thus update, after each inspection, the probability that the unit, next candidate for inspection, was produced while the production process was in the good state. That “good‐state‐probability” is the basis for our decision to INSPECT or PRODUCE. We prove that the optimal policy has a simple form: INSPECT only if the good‐state‐probability exceeds a control limit. We provide a methodology to calculate the optimal lot size and the expected costs associated with INSPECT and PRODUCE. Surprisingly, we find that the control limit, as a function of the demand (and other problem parameters) is not necessarily monotone. Also, counter to intuition, it is possible that the optimal action is PRODUCE, after revealing a conforming unit. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

陆军战术导弹蓄电池维护与检测方案研究

根据自动化程度高、综合性能强、使用可靠的原则 ,提出了陆军战术导弹蓄电池维护与检测的系统方案 ,采用单片机控制系统实现了多型号蓄电池的自动维护与检测     

Some experiences using MIL-STD-105 in the united states air force

The historical and, to some extent, the current role of attribute inspection sampling in the United States Air Force is described. Some insight into consideration culminating in revisions made to the original MIL-STD-105 sampling plans is provided. These revisions were motivated from a practitioner's perspective rather than that of a statistical expert. Some significant administrative applications within the Air Force are described, and a practical method, based on the total amount of inspection, is given for distinguishing between sampling plans that have a fixed risk level (i.e., common value on the OC curves).     

Systems approach to the multistage manufacturing connected-unit situation

This paper investigates the relationships among incoming quality limit (AIQL), manufacturing quality level in each stage of production, and outgoing quality limit (AOQL), for a multistage manufacturing connected-unit situation from the systems cost-effectiveness point of view. An objective function is developed and the formulated problem is solved using discrete optimization technique. The study is restricted to the development of single sampling plans where inspection is by attribute. Lot size and sample size are fixed for incoming and outgoing inspection for each stage of manufacturing.     

空间预警系统建立导弹目标优先级的多属性决策

空间预警系统在多传感器多目标的情况下需要传感器调度,而建立目标优先级是有效进行传感器调度的第一步。由星载传感器所得图像对目标特征进行估计具有很大的不确定性,直接影响到导弹目标优先级的建立。首先通过作战分析确定出导弹目标的主要属性,采用层次分析法评价属性的权重,然后在不确定的条件下对属性求期望值,使用3种多属性决策方法评价导弹目标的威胁程度,最后取期望值作为导弹目标的威胁评价。正交实验结果表明算法具有很强的实时性和实用性。     

Qmp/USP: A modern alternative to MIL-STD-105D

The Quality Measurement Plan (QMP) and the Universal Sampling Plan (USP) are the data analysis and sampling plans for the AT&T Technologies quality audit. This article describes QMP/USP, an acceptance sampling plan based on QMP and USP principles. QMPIUSP is a complete acceptance sampling system. It combines the elements of classical rectification inspection plans with those of MIL-STD-IOSD. There is no switching between plans, no tables of numbers to look through, and no discontinue state. QMP/USP is a computerized, self-contained system that features:

• Acceptance decisions based on the QMP Bayes empirical Bayes analysis of current and past sampling result
• Sample size selection based on USP, i.e., lot size, AQL, a cost ratio, the QMP analysis, and a budget constraint
• Guaranteed AOQ
• A complete statistical analysis of the quality process.

In this article, we describe the operation of QMP/USP and compare its performance with that of MIL-STD-IOSD. The comparison is made under many different quality environments with many metrics. Our results show that QMP/USP and MIL/STD/IOSD perform similarly for the environments where quality could be described as “in control”; and that QMPlUSP is superior in the environments where quality is “out of control”.