Designing a screening experiment for highly reliable products

Within a reasonable life‐testing time, how to improve the reliability of highly reliable products is one of the great challenges to today's manufacturers. By using a resolution III experiment together with degradation test, Tseng, Hamada, and Chiao (1995) presented an interesting case study of improving the reliability of fluorescent lamps. However, in conducting such an experiment, they did not address the problem of how to choose the optimal settings of variables, such as sample size, inspection frequency, and termination time for each run, which are influential to the correct identification of significant factors and the experimental cost. Assuming that the product's degradation paths satisfy Wiener processes, this paper proposes a systematic approach to the aforementioned problem. First, an intuitively appealing identification rule is proposed. Next, under the constraints of a minimum probability of correct decision and a maximum probability of incorrect decision of the proposed identification rule, the optimum test plan (including the determinations of inspection frequency, sample size, and termination time for each run) can be obtained by minimizing the total experimental cost. An example is provided to illustrate the proposed method. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 514–526, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/nav.10024     

Two‐stage component test plans for testing the reliability of a series system

A system reliability is often evaluated by individual tests of components that constitute the system. These component test plans have advantages over complete system based tests in terms of time and cost. In this paper, we consider the series system with n components, where the lifetime of the i‐th component follows exponential distribution with parameter λ_i. Assuming test costs for the components are different, we develop an efficient algorithm to design a two‐stage component test plan that satisfies the usual probability requirements on the system reliability and in addition minimizes the maximum expected cost. For the case of prior information in the form of upper bounds on λ_i's, we use the genetic algorithm to solve the associated optimization problems which are otherwise difficult to solve using mathematical programming techniques. The two‐stage component test plans are cost effective compared to single‐stage plans developed by Rajgopal and Mazumdar. We demonstrate through several numerical examples that our approach has the potential to reduce the overall testing costs significantly. © 2002 John Wiley & Sons, Inc. Naval Research Logistics, 49: 95–116, 2002; DOI 10.1002/nav.1051     

A parallel machine replacement model

This paper considers a finite horizon parallel machine replacement problem where a fixed number of machines is in operation at all times. The operating cost for a machine goes up as the machine gets older. An older machine may have to be replaced by a new one when its operating cost becomes too high. There is a fixed order cost associated with the purchase of new machines. Machine purchase prices and salvage values may depend on the period in which they were purchased. The objective is to find a replacement plan that minimizes the total discounted cost over the problem horizon. We believe that the costs in our model are more commonly observed in practice than those previously used in the literature. The paper develops properties of optimal solutions and an efficient forward‐time algorithm to find an optimal replacement plan. A dominance property is developed that further limits the options to be considered, and a simple forecast horizon result is also presented. Future research possibilities are mentioned. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 275–287, 2002; Published online in Wiley InterScience (http://www.interscience.wiley.com). DOI 10.1002/nav.10012     

维修费用合理值计算的基本方法

阐述了武器装备维修费用合理值的计算与评估方法 ,包括平均维修费用、一次性维修费用、实际维修费用等方面     

多种武器攻击下舰艇装备生命力的加权模糊综合评估

通过应用模糊数学理论中模糊评估法对舰艇装备系统生命力进行了模糊评判 ,建立多武器攻击下舰艇装备生命力加权模糊评估模型 ,并以某舰艇装备的主动力系统回路为例 ,运用所建立的评估模型对其生命力进行具体评估 ,结果分析表明根据加权模糊综合评判模型 ,选用合理的加权系数 ,就能把模糊性很强的装备生命力指标定量化 ,为设备系统设计方案选优提供依据。     

系统配套，协调发展——关于加强技术保障装备建设的思考

依据现代高技术战争的特征和装备保障需求 ,分析了加强技术保障装备建设的重要性及必要性 ,阐述了当前技术保障装备发展的基本趋势和特点 ,提出了系统配套 ,协调发展 ,构建我军完备的技术保障装备体系的基本思路     

沿海地区装甲车辆车体防腐用新型粘料的研制

沿海地区特殊海洋环境造成装甲装备的严重腐蚀,为了研制一种新型的耐蚀有机涂层,特研究了有机硅改性环氧树脂的化学反应,并对改性树脂的性能进行了测试分析,结果表明,改性树脂克服了环氧树脂的耐温性差、亲水性强以及盐水渗透率高等性能缺陷,为进一步制备该地区装甲装备防腐涂料奠定了基础。     

军事装备学研究的新途径

探讨军事装备学学科研究的新途径一装备作战仿真,讨论了装备作战仿真的含义、特点、体系结构、关键技术和应用方向等。     

基于QFD的武器装备使用需求映射方法

针对传统优化方法不能有效考虑部队需求的问题,提出了基于质量功能展开(Quality Function Deployment,QFD)的武器装备使用需求映射方法,给出了部队需求和武器装备性能指标自相关性的处理方法,并使用松弛系数法保证了最优解集的寻求与重点需求的优先实现。结合实例对该方法的实用性和反映部队需求的准确性进行了验证。结果表明:该方法既克服了传统需求分析侧重于论证人员的推理而对实际使用方的需求考虑不足的弊端,又充分体现了"用户"为主的思想。     

美军核心维修能力研究

核心维修能力,是解决军队建制维修力量与地方维修力量如何结合、如何结合合理、如何结合才能取得最佳效果,成功推行军民一体化装备维修保障的瓶颈问题。从美军核心维修能力的研究背景着手,分析了核心维修能力研究的必然性和重要性,全面阐述了美军核心维修能力的内涵和现行判定方法,客观分析了美军核心维修能力研究中存在的一些不足,得出开展我军核心维修能力研究的重要启示。