《企业质量管理实务》在线练习答案
美华管理传播网 中国经济管理大学美华管理传播网《企业质量管理实务》在线练习答案
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《企业质量管理实务》在线练习答案第一章质量管理概述一、不定项选择题1.A 2.ABC 3. ABCD 4.ACD 5.C6.B 7.BCD 8.A 9.ABCE 10.B二、简答题1.质量定义:客体的一组固有特性满足要求的程度。国际标准化组织(ISO)关于质量定义的演变:ISO8402:1986:反映产品或服务满足明确或隐含需要能力的特征和特性的总和。ISO8402:1994:反映实体满足明确和隐含需要的能力的特性总和。ISO9000:2000:一组固有特性满足需要的程度。ISO9000:2005:一组固有特性满足要求的程度。ISO9000:2015:客体的一组固有的特性满足要求的程度。2.朱兰质量螺旋曲线阐述了5个重要的理念:①产品质量的形成由市场研究、开发(研制)、设计、制定产品规格、制定工艺、采购、仪器仪表及设备装置、生产、工序控制、检验、测试、销售、服务等13个环节组成;②产品质量形成的13个环节一环扣一环,周而复始,但不是简单的重复,而是不断上升、不断提高的过程;③产品质量形成是全过程的,对质量要进行全过程的管理;④产品质量形成的全过程受供方、销售商和顾客的影响,即涉及组织之外的因素,所以质量管理是一个社会系统工程;⑤所有的活动都由人来完成,质量管理应该以人为主体。3.质量管理定义:关于质量的管理,包括制定质量方针和质量目标,以及通过质量策划、质量保证、质量控制和质量改进实现质量目标的过程。4.质量管理大师朱兰认为,在质量管理活动中应用着三个管理过程,即质量计划、质量控制和质量改进,称为“质量管理三部曲”。质量计划是旨在明确组织的质量方针和质量目标,并对实现这些目标所必需的各种行动进行规划和部署的过程。质量控制也就是实现质量目标、落实质量措施的过程,广泛应用统计方法来解决质量问题是质量控制的主要特征之一。质量改进是指实现前所未有的质量水平的过程。在朱兰的“质量管理三部曲”中,质量计划明确了质量管理所要达到的目标以及实现这些目标的途径,是质量管理的前提和基础;质量控制确保组织的活动按照计划的方式进行,是实现质量目标的保障;质量改进则意味着质量水准的飞跃,标志着质量活动是以一种螺旋式上升的方式在不断攀登和提高的。三、案例分析题1.这两则故事都说明了一个道理:事后控制不如事中控制,事中控制不如事前控制。事前控制就是要做好预防,俗话说:“预防重于治疗”,能防患于未然之前,更胜于治乱于已成之后。品质的成功之道就在于预防。2.对症下药才能药到病除。只知道有问题,却不能抓住问题的核心和根基。这是很多质量问题重复出现的主要原因,要善于从人、机、料、法、环五大因素中找出主要的决定性的因素,才能有效的解决问题。3.同样的问题接而连三的发生,我们整天疲于奔命,四处救火。由于我们缺乏改善意识,或未能刨根问底,错失了许多改善的机会,以至问题越解决越多,所以我们需避免表面现象,而深入系统根本原因,也可避免其它问题。4.质量问题,甚至很多重大的质量事故,都是一些小的东西酿成了大错。1%的错误导致100%的失败。我们1%的不良送到客户那就是100%不良。我们生产工序上任何一个环节出问题,就会使我们全部的努力白费。对于品质而言,不是100分就是0分。
第二章全面质量管理一、不定项选择题1.B 2.B 3.C 4.D 5.B6.B 7.C 8.ABCD 9.ABCD 10.ABCD11.ABCDE二、简答题1.管理者要做好以下三个方面的工作:首先,必须抓好全员的质量教育和培训。一方面要加强职工的质量意识,职业道德、以顾客为中心的意识和敬业精神的教育,另一方面要提高员工的技术能力和管理能力,增强参与意识。在教育和培训过程中,要分析不同层次员工的需求,有针对性地开展教育和培训。其次,把质量责任纳入到相应的过程、部门和岗位中,形成一个高效、严密的质量管理工作的系统。对员工授权赋能,使员工自主做出决策和采取行动,即所谓的活性化。活性化是全面质量管理的基本做法之一,之所以如此,原因在于:第一,员工有强烈的参与意识,同时也有很高的聪明才智,员工活性化会激发他们的积极性和创造性。第二,企业的竞争力在于顾客和其他相关方的满意以及对市场变化的反应速度,而这很大程度上取决于员工的活性化程度。第三,活性化的员工应该要求对于质量做出相应的承诺,并将质量责任同奖惩机制挂钩,确保责、权、利的统一。最后,在全员参与的活动过程中,鼓励团队合作和多种形式的群众性质量管理活动,充分发挥广大职工的聪明才智和当家做主的进取精神。群众性质量管理活动的重要形式之一是质量管理小组。除了质量管理小组外,还有很多群众性质量管理活动,如合理化建议、质量相关的劳动竞赛等。2.全面质量管理的基础工作主要包括:质量管理人员发展、质量责任制、标准化、计量、质量检验、质量认证、质量信息管理等。3.从组织层面来说,质量管理人员发展具有促进员工知识学习和经验传承,提升员工的质量意识和技能,培育和形成共同的价值观,促进员工职业发展,提高员工凝聚力等作用。从员工个人层面来说,质量管理人员发展有助于提高员工个人学习能力,提升个人专业技能,促进个人职业发展等。4.QC小组是指由生产、服务及管理等工作岗位的员工自愿结合,围绕组织的经营战略、方针目标和现场存在的问题,以改进质量、降低消耗、改善环境、提高人的素质和经济效益为目的,运用质量管理理论和方法开展活动的团队。它是企业员工参与全面质量管理的重要方法。QC小组具有以下几个特点:①具有明显的自主性,一般以职工自愿参加为基础,实行自主管理,以自我学习、自我控制、自我提高为主,不受行政命令的制约和班组岗位的限制。②具有广泛的群众性,QC小组活动是开展群众性质量管理活动的良好形式,通过集体活动,可以充分发挥小组的群体优势,集思广益,能更快更好地解决问题。③具有高度的民主性,小组成员充分发扬民主,畅所欲言,平等相处,组长由成员民主选出,做到充分发挥个人的积极性和创造性。④具有严密的科学性,不是单凭良好的主观愿望去搞质量,而是依靠管理技术、科学的工作方法和科学程序去攻克质量难关。5.QC活动成果的主要内容包括:QC小组因课题类型不同,活动程序也有差异。QC小组可按照 《质量管理小组活动准则》(T/CAQ 10201)规定的程序开展活动。问题解决型课题根据目标来源不同分为自定目标课题和指令性目标课题。自定目标课题的活动程序为:选择课题→现状调查→设定目标→原因分析→确定主要原因→制定对策→对策实施→效果检查→达到目标→制定巩固措施→总结和下一步打算。指令性目标课题的活动程序为:选择课题→设定目标→目标可行性论证→原因分析→确定主要原因→制定对策→对策实施→效果检查→达到目标→制定巩固措施→总结和下一步打算。创新型课题的活动程序为:选择课题→设定目标及论证目标可行性→提出方案并确定最佳方案→制定对策→对策实施→效果检查→达到目标→标准化→总结和下一步打算。 三、案例分析题1.(1)对质量的认识严重不足。环宇集团符合性的质量观点以“符合”现行标准的程度作为衡量的依据,“符合标准”就是产品的质量,“符合”的程度就是质量的水平。这是生产力不发达、市场竞争不充分条件下的产物。随着社会经济的发展、市场竞争的加剧,符合性质量概念的局限性逐步显现出来。正是企业的这种质量观念,所以才导致了其不能以长远的、动态的眼光来看待质量,对消费者的需求也很难有一个比较清晰准确地认识,在质量管理上也就难以采取合理、有效的措施。(2)在市场开拓方面没有形成自己的销售渠道、销售网络。(3)此外,企业高层领导对市场的错误研判和错误决策也加速了企业的破产。2.品牌永不离其宗的是质量,品牌依附产品,产品命系品牌,品牌最重要最根本的问题就是质量。品牌质量是一个全方位的概念,它包括产品质量,广告宣传服务质量,认证机构质量和动态消费质量。品牌与质量的具体关系表现为:(1)质量是成就品牌的基本保证。它是品牌的灵魂和生命,企业要创立品牌,就必须有全面、超前的质量意识。打造品牌所应具备的要素很多,鲜明的个性、深厚的文化内涵等等,而这些要素构建的基础是该品牌能够为消费者提供优质的产品,满足消费者的购买需求,它是消费者购买产品的基本目的,如果一个品牌不能够满足消费者的基本需求,那么就谈不上它所塑造的个性和文化了。所以要打造品牌产品,首当其冲的就是狠抓质量,包括提供一流的售后服务、随时了解和满足消费者的需求、积极参加质量认证工作、按照国际质量标准保证产品质量,并重视研发投入,以保证产品质量稳步提高。(2)品牌可以为产品带来优质效应。这种优质效应反映在品牌的深度扩张和广度扩张。深度上,一种产品或企业一旦打出品牌,那么他的质量信誉就会得到提升,消费者会下意识的给品牌赋予优质的属性,这样一来就会吸引更多的潜在顾客,培养更多的忠诚顾客。广度上,品牌扩张可以带来原来销售市场的扩大,扩大企业品牌知名度。(3)品牌与质量一荣俱荣,一损俱损。“三鹿奶粉”事件就是质量与品牌之间相互影响的现实写照,品牌可以为产品质量带来相应的晕轮效应,同时产品质量也对品牌起到了重要作用,当产品质量出现问题时,其产生的负面影响会祸及整个品牌,它可以使品牌一夜间一文不名,而另一方面,一个品牌的衰落也会给消费者带来一种质量不行了的感觉,因此,想要打造一个品牌,最首要的任务是保证其产品的质量。3.(1)企业的发展必须要有一个长期的战略规划。对企业的发展目标、任务、企业的组织机构设置、各个时期所要达到一个怎样的程度等,都要有一个明确的认识,使得企业的各项活动都在一个指导思想下进行,而不至于盲目而缺乏章法。(2)坚持全面质量管理。全面质量管理是一个组织以质量为中心,以全员参与为基础,目的在于通过让顾客满意和本组织所有成员及社会受益而达到长期成功的管理途径。全面质量管理有三个核心的特征:即全员参加的质量管理、全过程的质量管理和全面的质量管理。全面质量管理还强调以下观点:①用户第一的观点,并将用户的概念扩充到企业内部,即下道工序就是上道工序的用户,不将问题留给用户;②预防的观点,即在设计和加工过程中消除质量隐患;③定量分析的观点,只有定量化才能获得质量控制的最佳效果;④以工作质量为重点的观点,因为产品质量和服务均取决于工作质量。以此可以提高产品质量、改善产品设计、加速生产流程、鼓舞员工的士气和增强质量意识、改进产品售后服务、提高市场的接受程度、降低经营质量成本、减少经营亏损、降低现场维修成本、减少责任事故。(3)转变质量观。用动态的眼光去看待消费者需求,时时刻刻洞察到广大消费者的需求,环宇集团正是因为对质量的认识不足,不够全面,而放松了产品的创新,不能更好的满足顾客新的需求,所以渐渐失去了市场。
第三章质量管理体系一、不定项选择题1.D 2.D 3.B 4.B 5.D6.ABCDE7.BCD 8.ABC 9.ABCD 10.BCD二、简答题1.对质量管理体系的策划一般包括:①制定质量方针;②制定并在相关职能和层次上展开质量目标;③识别质量管理体系所需过程及其相互关系,并在此基础上确定过程实施的准则、资源要求、测量方法、改进程序等;④在过程识别的基础上,明确每个过程的归口管理部门及其职责、权限以及沟通方式,为确定管理程序及编制质量管理体系文件奠定基础。2.质量管理体系是“组织建立质量方针和质量目标以及实现这些目标的过程的相互关联或相互作用的一组要素”,是协调各方面要素以实现组织目标的管理系统。在激烈的市场竞争环境下,组织的质量管理涉及的问题很多,包含的范围也越来越广,为了实现组织的目标,就需要建立一个协调一致的系统,对所有关键活动进行持续的管理、控制和改进。建立质量管理体系,已成为各类组织实施质量管理的普遍方式。3.(1)贯标。在全员范围内宣贯质量管理体系标准,阐明贯标的目的和意义,动员全体员工参与质量管理体系相关工作。(2)建立组织机构。如成立贯标工作领导小组,任命管理者代表或指定质量管理体系的分管领导,明确贯标工作的牵头组织和协调部门等,为贯标工作提供组织保障。(3)制订工作计划。明确每一阶段的工作目标、内容、责任部门和时间节点,保证各项工作衔接有序,以便按时达成总体目标。(4)培养人才。对拟参与过程识别、文件编写的贯标骨干、质量管理体系的内审员等进行专门培训。4.(1)在确定需要应对的风险和机遇时,要考虑确保质量管理体系能够实现其预期结果,增强有利影响,预防或减少不利影响并实现改进。组织应策划应对这些风险和机遇的措施;并考虑如何在质量管理体系过程中整合并实施这些措施以及评价这些措施的有效性。(2)组织应针对相关职能、层次和质量管理体系所需的过程建立质量目标。质量目标应保持成文信息并与质量方针保持一致,可测量,考虑适用的要求,与产品和服务合格及增强顾客满意相关,并予以监视、沟通及适时更新。在策划如何实现质量目标时,组织需要确定要做什么、需要什么资源、由谁负责以及何时完成和如何评价结果。(3)当组织确定需要对质量管理体系进行变更时,应考虑变更的目的及其潜在后果、质量管理体系的完整性、资源的可获得性、职责和权限的分配或再分配等,对变更进行策划。5.统观不同标准化组织的建议以及企业实践经验,多体系整合在原理上就是抽离出各管理体系中的通用要求,同时保留那些不能合并的各体系的特殊要求。通过体系整合减少文件的数量,提升文件之间的协调性和针对性,从而降低多体系造成的管理成本,提升体系管理的有效性和效率。三、案例分析题1.安装公司是建筑公司的外包方,在施工时应该纳入建筑公司的质量管理体系统一管理。因此不仅对安装公司资质有要求,而且对其现场施工人员的资质也应进行控制,只有这样才能真正保证质量。这种做法不符合标准“8.4.2控制类型和程度”中“组织应确保外部提供的过程、产品和服务不会对组织稳定地向顾客交付产品和服务的能力产生不利影响。组织应确保外部提供的过程保持在其质量管理体系的控制之中”的规定。2.即使是临时的工艺更改,也应按受控文件更改的程序办理。不符合标准“7.5.3成文信息的控制”的“为控制成文信息,适用时,组织应进行更改控制(如版本控制)”的规定。3.不符合标准“5.2.1 制定质量方针”的“质量方针应为建立质量目标提供框架”的规定。因为“框架”应该理解为对应于质量方针内容,有相对应的质量目标,以便实施对实现质量方针的考核。本例中对质量方针提出的“科技领先”就没有制定相应的目标以便进行考核。例如,可以制定相应的质量目标为:“每年开发出新产品2-3项”等等。
第四章服务质量管理 一、不定项选择题1.B 2.ACD 3.B 4.A 5.ABCD6.BCD 7.ABCD 8.ABCDE 9.ABCDE 10.C二、简答题1.SERVQUAL将服务质量分为五个维度:有形性、可靠性、响应性、保证性、移情性。每一维度又被细分为若干个问题,共22个。一是有形性。有形性是指服务产品中的“有形部分”,如各种设施设备及服务人员的外表等。由于服务产品的本质是一种行为过程而不是某种实物,具有不可感知的特性,所以顾客只能借助这些有形的、可视的部分来把握服务的实质。服务的可感知性从两个方面影响顾客对服务质量的认识。一方面,它们提供了有关服务质量本身的有形线索;另一方面,它们又直接影响到顾客对服务质量的感知。二是可靠性。可靠性是指企业准确无误地完成所承诺的服务,特别是有空间和时间及服务人员发生变化后,还能保证服务的一致性。许多以优质服务著称的企业是通过可靠的服务来建立自己的声誉的。三是响应性。响应性是指企业随时准备愿意为顾客提供快捷、有效的服务。对于顾客的各种要求,企业能否予以及时地满足将表明企业的服务导向,即是否把顾客的利益放在第一位。同时,服务传递的效率则从一个侧面反映了企业的服务质量。四是保证性。保证性是指服务人员的友好态度与胜任工作的能力。它能增强顾客对企业服务质量的信心和安全感。当顾客同一位友好、和善且学识渊博的服务人员打交道时,他会认为自己找对了公司,从而获得信心和安全感。友好态度和胜任能力二者是缺一不可的。服务人员缺乏友善的态度自然会让顾客感到不快,而如果他们对专业知识懂得太少也会使顾客失望,尤其是在服务产品不断推陈出新的今天,服务人员应该拥有较高的知识水平。五是移情性。移情性不是指服务人员的友好态度问题,而是指企业要真诚地关心顾客,换位思考,了解他们的实际需要,甚至是私人方面的特殊要求,并予以满足,使整个服务过程富于人情味。2.2002年英国Live Work服务设计咨询公司首次提出了用户体验地图(User Experience Map)和服务触点的分析方法。用户体验地图是一种用于描述用户对产品、服务或体系使用体验的模型。它主要借助描绘用户行为轨迹的地图来呈现用户A点到B点步步实现目标或满足需求的过程。对服务流程中的触点进行研究,可以发现用户的消费习惯、消费心理和消费行为。同时,触点不仅是服务环节的关键点,而且也是用户的痛点,触点分析往往可以提供改善服务的思路、方案和设想。用户体验地图是一种用于描述产品、服务或体系使用体验的模型。用户体验地图可以拆分为三个部分:任务分析、用户行为构建、产品体验分析。首先,分解用户在使用过程中的任务流程,找出触点;其次,逐步建立用户行为模型,进一步描述交互过程中的问题;最后,结合产品所提供的服务,比较产品使用过程中有哪些地方未能满足用户预期,在哪些地方体验良好。为了精准地优化服务体验,捕捉到遍布产品和服务流程中的每个用户体验痛点,20世纪80年代,美国金融家兰•肖斯塔克将工业设计、管理学和计算机图形学等知识应用到服务设计方面,发明了服务蓝图(Service Blue Print,简称SBP)。服务蓝图通过可视化、透明化的方式来描述顾客行为、前台员工行为、后台员工行为和支持过程。相比用户体验地图来说,服务蓝图更具体,涉及的因素更全面、更准确。服务蓝图不仅可以描述服务提供过程、服务行为、员工和顾客角色以及服务证据等来直观地展示整个用户体验的过程,更可以全面体现整个流程中的用户体验过程,从而使设计者更好地改善服务设计。3.CCSI模型中的7个结构变量如下图所示。data:image/emf;base64,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图4-1CCSI模型在上述模型中,总体满意度被置于一个相互影响相互关联的因果互动系统中。其科学地利用了顾客的消费认知过程,将总体满意度置于一个相互影响相互关联的因果互动系统中。该模型可解释消费经过与整体满意度之间的关系,并能指示出满意度高低将带来的后果,从而赋予了整体满意度前向预期的特性。该模型共有7个结构变量,顾客满意度是最终所求的目标变量,预期质量、感知质量和感知价值是顾客满意度的原因变量,顾客抱怨和顾客忠诚则是顾客满意度的结果变量。模型中7个结构变量的选取以顾客行为理论为基础,每个结构变量又包含一个或多个观测变量,而观测变量则通过实际调查收集数据到。
第五章质量策划一、不定项选择题1.A 2.A 3.C 4.B 5.B6.ABCD 7.ABCD 8.ABCD 9.ABCD二、简答题1.为制定一个清晰、明确的质量策划,在其制订过程中要遵循一定的原则,具体而言包括层次性、系统性、可考核性、可操作性、权变性。2.在组织中质量策划按不同的划分要求可以有不同的分类,根据时间、对象、层次、内容、综合程度等可以将质量策划进行如下划分:(1)按照策划时间长短区分,质量策划可以分为长期质量策划、中长期质量策划、短期质量策划。(2)按照策划对象区分,质量策划可以分为质量管理体系策划、质量目标策划、过程策划、改进策划。(3)按照策划组织的层次区分,质量策划可以分为战略层质量策划、管理层质量策划、执行层质量策划和操作层质量策划。(4)按照策划内容区分,质量策划可以分为综合性质量策划、临时性质量策划。(5)按照策划综合程度区分,质量策划可以分为战略质量策划、战术质量策划。3.不同层次的质量策划所关注的重点及要解决的问题都不相同,且具有独特的特点:从战略层到操作层,质量策划期越来越短,质量策划的时间单位越来越细,覆盖的空间范围越来越小,质量策划的内容越来越详细,质量策划过程中的不确定性越来越小。
第六章质量控制一、不定项选择题1.A 2.B 3.B 4.ABCD 5.ABCD6.ABC 7.ACD 8.ABCD二、简答题1.设置质量控制点时应该注意以下几点:(1)尽量要定量表达控制点的质量特性;(2)要明确控制点的责任单位;(3)要以产品的质量特性或过程的质量特性为控制对象;(4)有计划、有目的地设置控制点;(5)设置控制点还要突出重点管理的原则。2.质量控制通常包括:(1)制定质量控制操作规程;(2)编制质量控制计划;(3)巡视与质量评估;(4)质量问题分析;(5)提出问题解决方案;(6)质量控制信息汇总存档。3.(1)按照业务内容进行划分,可以分为技术标准和管理标准;(2)按照标准化活动的范围,可以分为国际标准、区域标准、国家标准、行业标准、地方标准、团体标准和企业标准。三、案例分析题1.针对本题,在几种质量控制的统计分析方法中,监理工程师宜选择排列图的方法进行分析。2.(1)数据计算结果见表6-1。表6-1水泥预制板存在问题数量统计表
序号存在问题项目数量百分比累计百分比
1蜂窝麻面3345.83%45.83%
2局部露筋2129.17%75.00%
3强度不足1013.89%88.89%
4横向裂缝56.94%95.83%
5纵向裂缝34.17%100.00%
合计72100%/
(2)绘制排列图见图6-1。data:image/png;base64,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图6-1水泥预制板存在问题数量排列图通过以上排列图的分析可知,主要质量原因是水泥预制板的表面出现蜂窝麻面,监理工程师应要求承建商提出具体的质量改进方案,分析产生质量问题的原因,制定具体的措施提交监理工程师审查,经监理工程师审查确认后,由施工单位实施改进。执行过程中,监理工程师应严格监控。
第七章质量改进一、不定项选择题1.D 2.A 3.D 4.B 5.A6.ACD 7.ABC 8.BCD 9.ABCDE 10.ABC二、简答题1.应充分考虑和遵循:(1)顾客满意原则;(2)系统改善原则;(3)突出重点原则;(4)水平适宜原则;(5)项目制原则;(6)持续改进原则;(7)主动改进原则;(8)预防性改进原则。2.(1)质量改进是质量管理的一部分,致力于增强满足质量要求的能力。(2)质量改进就是通过采取各项有效措施提高产品、体系或过程满足质量要求的能力,使质量达到一个新的水平、新的高度。3.PDCA循环是质量体系活动应遵循的科学工作程序,是全面质量管理的基本活动方法,也是质量改进的基本原理和方法。为了解决和改进质量状况,通常把PDCA循环的四个阶段进一步具体划分为八个步骤:(1)分析现状,找出存在的质量问题。(2)分析产生质量问题的各种原因或影响因素。(3)找出影响质量的主要因素。(4)针对质量问题的主要因素,制定措施,提出行动计划,并预计效果。以上四个步骤就是“计划”(P)阶段的具体化。(5)按照既定的计划执行措施,即“执行”(D)阶段。(6)检查,根据活动计划的要求,检查实际执行的结果,看是否达到了预期的效果,即“检查”(C)阶段。(7)标准化,根据检查的结果进行总结,把成功的经验和失败的教训都纳入有关的标准制度和规定之中,巩固已取得的成绩,同时防止重蹈覆辙。(8)提出这一循环尚未解决的问题,把它们转到下一个PDCA循环中去。以上两个步骤就是“处置”(A)阶段的具体化。4.(1)质量改进的阻力:①对自身质量水平认识的局限性;②对失败没有正确的认识;③错误认为“高质量意味着高成本”;④管理者对权力下放的错误认识;⑤员工的顾虑。(2)如何预防和消除这些阻力:①质量改进制度化;②上层管理者必须履行不宜下放的职责;③质量改进活动结果考核;④及时表彰;⑤对积极推动质量改进的员工计以报酬;⑥对新内容进行培训。三、案例分析题该厂可能采用了以下质量改进措施:1.论证改进的必要性该厂首先对前一年的不合格品进行分析,充分认识到只采用质量控制手段还不能彻底解决问题,必须进行质量改进,才有可能提高轴承的质量。2.确定改进的目标运用排列图法,在圆度精度不足、壁厚不均、内衬脱离、光洁度不够、尺寸精度不够、加工变形、磕碰划伤、切削热变形等8种不良品类型中,确定了“圆度达不到要求”作为质量改进的目标。3.成立组织设立领导小组负责审查批准方案。其成员有总工程师、科室人员、用户代表、车间主任、计划组长、工艺科、科研科、工人代表等人员组成。另设一个诊断小组,组长是车间技术组组长,该组聘请车工组、钻工组、镗刨组代表,质量统计员及其他有关技术人员和咨询人员参加。4.诊断过程和改进过程诊断小组采取的诊断步骤是:(1)跟班收集资料,并整理数据和分析原因;(2)分析工艺流程,找出工艺中不合理的因素;(3)提出工艺流程的改进方案;新工艺流程的特点是将一切可能发生的质量问题(如磕碰变形、内衬脱离等)的工艺均安排在精车之前。(4)建议改进工艺装备,提高其刚度,以保证工件的精度;(5)改变切削用量,避免产生热变形。5.克服阻力,贯彻实施经过轴承工艺流程和工装的改进,按新工艺试制27件,并画出圆度的单值控制图,通过对比,效果显著。6.在新的质量水平上控制质量制定新的工艺流程标准,利用工序控制点严格监督圆度这一重要质量特性。至此,该阶段质量改进工作宣告完成。
第八章质量检验及抽样技术一、不定项选择题1.A 2.C 3.A 4.C 5.C6.ABC 7.ABCD 8.AB 9.AD 10.BC二、简答题1.(1)质量检验就是对产品的一项或多项质量特性进行观察、测量、试验,并将结果与规定的质量要求进行比较,以判断每项质量特性合格与否的一种活动。(2)质量检验的职能就是在正确鉴别的基础上,通过判定把住产品质量关,通过质量信息的报告和反馈,采取纠正和预防措施,从而达到防止质量问题重复发生的目的。2.(1)生产方风险(α)将合格的产品批判断为不合格,导致整批产品拒收,使生产方蒙受损失,成为生产方风险,其风险率用α表示。(2)用户风险(β)将不合格产品批错误判为合格,在用户验收时得以通过,使用户蒙受损失,称为用户风险,其风险率用β表示。3.与计数型抽样检验相比,计量型抽样检验具有如下特点:(1)从难易程度来讲,计数抽样检验较简单,计量抽样检验较麻烦;(2)从取得的信息来看,计量抽样检验能获得较多、较精密的信息,能指出产品的质量状况,一旦质量下降能及时提出警告;(3)计量抽样检验的可靠性比计数抽样检验大;(4)与计数抽样检验相比,在同样的质量保护下,计量抽样检验的样本量可以减少30%,因而当检验过程的费用很大时(如破坏性检验),计量抽样检验显示出其巨大的优越性;(5)计数抽样检验较易被接受和理解,计量抽样检验却并非如此;(6)计量抽样检验的局限性是要求被检的质量特性必须服从或近似服从正态分布,因为设计计量抽样检验方案的依据是正态分布理论。4.计数标准型一次抽样方案的制定程序可以概述如下:(1)规定单位产品的质量特性;(2)规定质量特性不合格的分类与不合格品的判断准则;(3)双方商定p0、p1与α、β的大小;(4)组成交验批;(5)检索抽样方案(n,Ac);(6)随机抽取大小为n的祥本;(7)检验样本,并记录样本中的不合格品数d;(8)交验批的判断,若d≤Ac,接收交验批,若d>Ac,拒收交验批;(9)交验批的处置。三、案例分析题1.D 2.C 3.B
第九章质量管理工具的统计技术基础知识一、单项选择题1.B 2.AC 3.D 4.B 5.B6.ABD 7.ABCD 8.ABC 9.BCD 10.ABD二、简答题1.质量特性数据一般分为计量值数据和计数值数据两种。计数值数据又可分为计件值数据和计点值数据。2.从统计学角度来看,可以把产品质量波动分为正常波动和异常波动两类。正常波动是由偶然因素或随机因素(随机原因)引起的产品质量波动。这些因素在生产过程中大量存在,对产品质量经常产生影响,但其造成的质量特性值波动往往较小。对这些波动的随机因素的消除,在技术上难以达到,在经济上代价又很大。一般情况下这些波动在生产过程中是允许存在的,所以称为正常波动。异常波动是由异常因素或系统因素(系统原因)引起的产品质量波动。这些因素在生产过程中并不大量存在,对产品质量不经常产生影响。异常波动比较容易查明、预防和消除;异常波动对质量特性的影响较大,一般来说生产过程中是不允许其存在的。3.假如一个随机变量仅取数轴上有限个点或可列个点,则称此随机变量为离散型随机变量。掷骰子时的取值就属于离散型随机变量。4.正态分布是一种概率分布。正态分布是具有两个参数μ和σ2的连续型随机变量的分布,第一参数μ是遵从正态分布的随机变量的均值,第二个参数σ2是此随机变量的方差,所以正态分布记作N(μ,σ2)。遵从正态分布的随机变量的概率规律为取μ邻近的值的概率大,而取离μ越远的值的概率越小;σ越小,分布越集中在μ附近,σ越大,分布越分散。正态分布的特点是:(1)正态分布概率密度函数曲线是对称的、单峰的钟形曲线。(2)任何一个正态分布由均值µ和标准偏差σ这两个参数完全确定。µ确定中心位置,称为位置参数;σ决定分布曲线的形状,称为形状参数。σ越小,曲线越陡,数据离散程度越小;σ越大,曲线越扁平,数据离散程度越大。(3)正态分布曲线下的面积,是随机变量在相应区间取值的概率。5.设每次试验成功的概率为常数p,则在n次试验中成功的次数X服从二项分布,记为X~b(n,p),其二项分布概率函数为:data:image/png;base64,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 (k=1,2,...,n) 泊松分布的概率函数为:data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJIAAAAsCAYAAACOu+GLAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAABCnSURBVHhe7VwJOJTbGz8zxhhroSxJUVmydummEiKlSBFCSKlow+1WbomP+ZIW3TapJBUh7aUkSdahxIQUKSJbNUnZhxnzP4N2u8F9nv+c55mH+b53O7/vd97znvMdcEQiEbAbG4HBIoAbrAG2PhsBJgJsIrF5wBIE2ERiCYxsI2wisTnAEgTYRGIJjGwjbCKxOcASBNhEYgmMI2MEQRDOOx7GM4333KE5BD+qm1gemzcykbBXbSOFO6v8YifrznA0Taq0rf/USIZG1VlluL922Bmpv4j9h+RRFKUiiG2q9sUs28TWVursxvtC8/eTaDBEDq/blTgsOYgyXOGyiTRcSA/QD5y+cDWPw5ev2YqOzwHKjIBbV7MyAtCH3819IbS00AGVY9SnCbLVOsrimFAO1a0tUuJYj7cAnByg236rsYnUb8iGW4EiWd4gYKGgbZEn8jTR9sSBkIbA/YhOEIpWf42klUYDQrgG8Uqa/jIZPe3SMas2OK5SF01Ho4cvVjaRhg/rAXlC0ZNvoKIpnoAHXkac74+9q/c/WwPk4TVSh0FuQKfVg/cJJ9QOUoGaqEvwPom0o2lo2oDcDViJTaQBQzf8iuIODnTOXTkg7FiJkDXmq/+2Vm4+fiAxwyaX77p9Ycoe1x3ye4/VNiUf2TucEbKJNJxoD9JX4vELRufPvQLGh1duBWXgNqyfuIpSDsyJySLX55fH0pPSik6MMZmjHeq2DtXe6PZJ9G104CBdflN3XmcwOzokzGa734Umy73h1COORrDWR6lfBdhEYhXSQ2wHMa/VddrWZKSuqwreZ5M4RYXbHdLKkl+6J+S+3wLAZXwhOFVPvOmhgGJW4rkK7DiW8LAuqOpyimYdrzLDxUS9Li8xxnubnG6BAAAXhpxIzNFSXV1jVF0teDsyEm1lXZeG1pKVtrRqpZD+qOSbQclD66nv1pkbj+ftFT3SWgyAjw0hIDbny2oTBDGAGSEWgIklX8+UkVEUMDeTOr4zf2Ndi4gh+zGtIcHxnMf/svdOJZOXKww1kZDV0opBgf/6jP/TbNJMaUHYWTCiRPrbXExRX91V6HFzc5OpT0LtNHpyYbcQY5oY1ZkXA8brWOU56MiuhA9rRGNnxvn50X4kvlRYj1vPJmTprBPxj57iNnk+BPgR2n3kHDcOT8tKTOGJvIXwQXzqmTHikHWjVbetv7jjcNQjKu9YSVodpaxKaoLoWGmFGQKLHXyL6/Ove/SH14i79PTroY2JMZUTjky7E2r6pFPZYELVdnvXC9Nf1jY0TVK1Y2wOPB21RYOQFuK61Gv9sSgezvEKfNPs90bp47ND++OvL7I4HBAyNZD6h/L4vVFta3MiwALd7vQik97lGnGEGKe9K03cXmsR5YcgZhCsxr74GQoZxHm0spf9MXcShwnwQNSPAKBRMYoSSsHfEtm30NnZNhsruPZdGFo3FL67tFnqZxJ6MgIjpOaplwuAEpR51E4kQCC8slkixxH/qMBe2JpYG3/UQWHn9pXTaJWvrh12t+OStPETmYtNc+xLoAgiRji6LmIfScr+2TSO/J8IOEFtasIaIxlXt4vPJObY2QIrRRxzVfFB11BZ5o9LWfothpueGcyRSqVnZPfFVb9kDkS+S0EOrZr51PKcUTkVbrpw96weTbcvsRpTYBvz8mGKeQVmkwoA7Wl9RFpOalPm63pfER2lmnIUzUZhEMZaXFvuBp9RyXqjTbeaL0j3H2RgCGI03tfGddeuiM4dhR/sCYxRB07BVzP4skPPwSmW+6SDhvvnyfMwqqLvGDvDq7g1OmVxqP+7RkTuyTlhYQELLgERCpxfK959AhWIh/GapLtuYSmkB6v3xu0LiUXR37380oH0/ec3V0vazFvoYDW3PIjZ5e8t6ObnTMR7tnHW8xJy/N07jBznBVLiABRlxZJF2vQcgXHgRj06in4cJCbdqrfU0AhtbQyA+bZs7tmT7MaIdOrZ1ffjSbFeMwLQJxkH0MShiq0nu2iy0msNKyVPAOA+dWe7XakTrr8IhFPSbwJ/+Bl8a8ZhAEasKzudcI1m3qu/sWL5/QIuReXNO4N5onbpiPA2MJNFAvNe+6qtuYWfj06vBQx6KwZBEQ6YyumAR+zj+DGCoKWhng6FZKBYj0RCkKlj969L2pEiIhWNioO0n2nUGaJsQO62jV9u5e2NWuq3z3LHnGVx8uEvCSpSpuscMUNIonbvbW2AAX+00hmtcGTxXCOaLzD3vtYCL3FKzVpCsDxzi8RzFS3/CiYTA2TdFHRaRnbqgeNki7kAjAiRBk+S7xYQI2XN5YvMxa9Q2jgk5p6sL09YXwT7WYCi8SVAbr4pkTi/a3ew2kAQE5XjazcGvRLSb7iyYpbf+XQu4zMPHo82FOlQ+Wn5j+XkYrSTiNlIMdLPSqrBBD2FumgUPd9rh6444csoSsJic+Qp3RWo7Q8H8UdMrsqpBFzcpeteKq3bpGr9UKMyKKgn+5sNxwUuW7ZJPamM+dy7b3Kaa8Ffl4LQD8FoVLdSHUOMoWlo4Gx8+b5eQusMsMTa/gG8lvqbjviuMnG8JeAoJC9GTiO+MP6KXnH4QYA5FeRc8bhpaL1HuLID1W7b7OUoOHTJcyXM/C/646OvsvbjXjjsOVUVPMqamOEl+K7ky8vk5QbrGz/tPIgsTT6E/t73XwzfJ7rsPU3CcMputQ6GQLw0mMJ1Vjzuyg55S99MlSnySCeRsDDltwHKmzzcpcxLs/e42W1GTr2wLh5n8GWHi+XptUrCWAhiW49Bv6hh0FoEgKq8EK6ltHtJFPXPdTvs6E9ecPDQpXI5cDHYYn8qXLb21BgYEA/vd7/S6lTGYGHiwYPi7mxh4LzWhsHBGRRtMhLNfYtVMm0TU/vLVLjmdhS42uVRHi6R0TxAvB4zAdrk7+tD+0GOBmO6gWEA3t50mVMufBiffpXz8vIiwGtdTju92KyAZUr7ihNxZoh7ODwLihF0y8s6aj+L+Sy3zCsC83xDl0ffM/aBHZvbW3w5+a9DPvMbXF+8Si6h3BeW/K42x6aRXN9cvRXDr7VPoaSTSDiAwdLBp6JMvvLiYj3PfZEfxeUW+7rf9QktP4S+RK/35gbeVycAfC4WVFEaGR17ZT00Ko7AIywI6p6ngxP+T41gMXu/J/GA6MrLemt3Ab3e7ML7H092T8rm5mYgRqidIt6c9e+2O5wmZEXHhVupt+N6MMuoa2kDdAKBeTSD+elX68jM+FOOXn3520EGgJm/K/vT4cXuM2z3Ec2Ct14yb38ilTsl59OwDVIP2zCYVS7wEi7rT3FcK5XWTH5eVKvTh7qxScHx8lq4cVTu2xEjiuZXYZTWn1YCDSAIXuskUgtoo+OBwiKnGrsFij5fY4Mk6jtwi0MxMok3QGjSc4ZxD2MXQeZp+djs38K/glhkfdlN4Fb40dXKp8+fxNxEC7pztslo3HIz002SvU1t8lprgfO1oFhIpt/TCxYLWluogFGcKp/fVC7/6K1UnXeoZhXVn5nsumsP6GUfa8BTTt4rUKKk72B0SDI3EnOveawxXL6Ht6LnfA40LVFwNNIzHJLp3S9+MuF3tf76hvLfpuFXT5Lx1XQB8Odco88vY0MTmbainlQxyek8A+C+veYYgI9vKj/VSLSmeizi01ls99uqxYcZklGh+aVF5gwE8YDFc9mvJphna257zCM+5tQeu3Kn41xFwegNpJ03NqdeMbsTtxuRgSOYWQ//1uDUMA9e7HX/jQEfFrYFvIKyvxMJFtsEbl5AnWYX7zNf/kWZla/zddfA5HuhiJE/iqZ35TfzyG6XwlYN4OJukgJj63dGgjZxMCZTODX3mqQZsOfQQQzU+YlIcHpqHgiJf+yPhKwqTgBfBKjCSsxVefbPfWXNMYF2IhEILfU4DhqgMQCzfuilLOyaYcw0jrgvQF95JyyM2TH2SMQ+xJz4CzFqH/l6R70Q0Z1sZxeZD4tKC+TUCdenS1dsD/Gb7KE/xxMPM2ZX1o/frXTq69QGC+0uA8Tz89C4ufCgqvpz/cHr1S7bVijhbc/4OS3cIeRjxNNO1J+akyJJ3/MK36aMMX/slQlDB3RAjFmLwanNwAnp29QGC+1+D9++KIyfs7BiCg4BpHvXtH2vIfMjUDQOUatQ2/OQ70Cb6d/RjITgw32x05MMDrHlGp0crbqtouoZaC0iy5g5Wzk5asqfGQihUN83RYhqoSauUCpdLjA21isPWURU6iDmbP6HC9Zvf7EzBWMG/NVFqSamCLZmx/QSibH8hbSypJkpZwOIji5rhW3Ux7lD3w2D7diP+sg6tfHx547JFtfUgOKsVLlS46VSGhv/Pri5UNtpy4mtejQ757BlFmYoPTmsvaBfNo1mGEtWv5PJP/WQjcgrd1bGMhBbCGLFtWmOvuQJUlm9vvflZi1M/ud+2ZnocHyGrO+kgrxwl2Va6fdLckgxFFObRRVjJzyRlRC+xop3uzjAyS8ReSeXnP+ZRsJGH+FInDpVDBIJJgcAR1P/G5q/4DViNVorLuEVctwaH3SMG9lgk4FS00lPpC+mNR8EIIIae9eixWS9Hr65Jmt0YBouphUw4pJDPbGTVKbjIZEEoVeWEgng8EqRUdnFj19TdoPXIW14S6vZsOShVH5o3s2oK8PkR10h4IzNdCDjC43UxHSyP1D3lopM32KCjTvafwSGQoOf19Dc6OTTj9Gzij60XdMSBfa/ZVAd/hUOnuGTCvTOPrTH3vxpvmpPCsorXb1Uyl6vQM5I1AEO/rKJuuhN1OIAqwYtDj338bmY5tLtRM2lnbG9hBX54FIsGvmZWTiv0JlMnapa07HaYaj8E0iEy7P29iEV+oBbFxLEKg0LgMJPR2vIgNczWP4k0JOP7kkabr5HNOw0/fYq9AMA70yrOOLMjmvUjLD2n9yA+zXXXEd9Rhg6bAfne+swigZ9gq/81pAeZ5Sea2xmDrTfWlPmDcYYIc7dkvCNKqyyuix8yAxJ/23f/vtM/qCf849BDOl5pKS0jHwlwHpi9Ab8YO5fJb+pAOTBDaTB+O9e1+lLUwsfYPBwNSNcXrwz/MHsJxUAIzzLhndUWliM1RqvAgKPGZCRGt34c7k+NNH8anVIiTQ8Xfh/8aKOw2AKwft6XDX4p2i0RY7J/S/lskBGQ+cqTD/3ZNUJOP6c8aCNt5d9hiGCi02kIQKW9WYJoKW5sUlrUpXeQaKfUInECsoqM/Odrc8jgmcw52llVbxwpTQgSOCww3em5Hsv2URi/RMfMosMWiuV+8sz2azX2bKU6QsLRSGJvjkT4m/lnTiOKs4BWvOHLILuDbOJNAKgD8zlhWZOXhWBSmmbyIPaxW9t93u7Pd9y6ZgiJZL5ygMuYB5kCqodnaguia1nE2lgCP9/aNEilLC0Pdia0koxZe8Hbi6ZmmsPRR5wnvWvD+9f08U2VCXx+l/fuuaP0NWxx7UAYPkp095AZmek3hD6D9yHr5bGPrnovvtWalEBVunh+JA8y6Vr/lntf26Wo9XxAxLz5QOI1jOxNDwHjmMcfKU4kFMKg+4lm0iDhnBYDHw647F3ib1r+3s3kE/FcqPXK5sWbPD2Zn7PwQHujARqiIr2AgDeHBmWgNjL/xGBeXBOmTvTEvbEb+9AeaKZ7/C+N6r/z98H521g2uyMNDDc2Fq/IMAmEpsSLEGATSSWwMg2wiYSmwMsQeB/A3OIu9j2ndUAAAAASUVORK5CYII= (k=1,2,...) 三、案例分析题1.解:由题意可知,样本量n=10,xmax=22.6,xmin=21.2。均值:data:image/png;base64,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中位数:data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALAAAAAhCAYAAAB5jSG4AAAAAXNSR0IArs4c6QAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAABhcSURBVHhe7VwJXM3ZFz9vrV6LlkkpimaaFhVSYUiWbEnZsw3GEhHZqfjl/VTIUinUoIlEhIxBIu1CmxYp2mhfpKhe773e8r+/V1KW0fz5Z/4znc/n96nuPffec8/9/u4959zzi8pkMqGHejTw/6oB6v+r4D1y92iA0EA7gDHMhUoigTgqYwmFQsBxXNBRRZ+r78yLkUkkEh2VkVBfnPf76orqMUzUhwTi5aI++B/rg+CB0FCAOXOEqF74sX4RD+pGJAsF9cP+b2Tpirw9PN9GA1QMU1aO8Mk7P3PJ8gFGRhl5MvRaXYv5TNb8LfZbi24cvYptU1aLOJF3+lP174uNYYvMog5t87cyNGdVsqs5811+V3TcgDGv+uBBHXlXjhb7aXtAjfTc/QdL007g2W/rEOAkUoN37tu2xWG2tun4XG1GjfpIszmkqevxy06zdFwQAJsRj3JhzGkbF9s59qVay+EUwALUPvl9WSZxow3cVhedGzvZGppKcutmbjunst3ByTPilLvvt1F3z6hfWwNUaGQbRcc/M35InX2hLPnkoeLEvb5Ll/mO9b1stHOqOFyFhoaxf1rfQSIELLEHR2Yx/ZL6aw05fGfxquYJhbZMhwRHcfreGxh2GYGP9ZZdICQFiYmJafDJEIzKFr3rpu67zOSMZRfS9V9sj4p0WNMQMX/d7BVOZ4JDtnJnMT13Ty2jh+zfkJybU9f3+OUomIDbE00lP3iRFsX33WBXcfNRv+mqBy84rNVJW5C0xt3tvvNxyr5IVywYyVL3tZXZ01/3a4AKCXBLw3Zdn1WJiQ1oUQHbpu+no9Q49tabZqHIoKgrPofqr3yyvpPMMRNuh1eP4g1eCLvNIAbHTUss9WpeecWkqqQ6TlmFWD3b2UnAamnhglAA7M7TjiyTEldR1f3Vnf3SHecChvkNVYWF4bX16k8Ixh2h8Mp4640Ja02Tm2vzTxbWvSZKO5k7REFNjo5dKeu5KmfglKBwL/xYOGjD9MEvyrbHJqvH8mw2IBaX7ld3z4hfWwNUPKmeB5DYQHRM2JSZRxduyKDPgPXzRhe9jnoCeIhCC6pHz8frOwn0OJSeyWJRJHrLE8UM1B/tzt5nIP+ggBRTJnod2qmPgkyLuHgT9OkD7MwO5TieIwCG6psRIbiolP2QuexO6Q/qprOm1R5Gf+OmGxBiW1aPNJYcFskQ+6Q+SLIaZqxmElTXc+qB0sqmrqkv6B1WCDHPBAzS19ZkT3/fRAOdohCV9w6dCggjjdCzsI92GNXbDo/qLNPn6uHRQ0FtfS2odGhGFaMBn8cCSQaQTcRSnaftuKZG7Jnp8YPVs4sFkDI+ZXxq1E1/6d7GsOZ0WDoj6dTxt80xp+E/ey33292ivrLadq35NB8cr3jXdbMYX/BRv03E8l2f+u3GmgoJmXHe06+Z9fU7rk/Ti7ye/F0VVRdUZYBe/k3U3TPo19aACMBopxSvSPU9EuDzZClv3Ko4v01GU5A5wWkH0mfq24XS1qNIyqR3Os95nBYhUBigJAcSZCD1Q7w6BH9OYZXEqzdCeMNlKaA/h5CEaE8UCt+0j7lu/JLTjgGB6XTr+rU+C2bE4njSX5q8xu4k2/m0nY89To77w6tus+/GrRLqQp54cz91oUlfcsbVv9RZD/PfVQMiANcEzTW8kNp75Su9jVd6s87PwvFoYInJ9mZw6qs/VV8rJtbbe/v2midBDr0dvO+R5PalNIBWWJMOPZubX11DhK2a0EvQolCcLVGmZN1IAzh7l2OYu4lpKNLFlqnyjxz8Kgcv8ne9FOuKrxEVJgeIfmAuLqQzzTnu97mzygJPzB6D+sn/yVBWecK09TVMJs5vVaZ0I41KAwoN9YygL2qHnMjQHRPkdmfrEgZuNTOd7zZo4i/oIeq0LbDpsvNMzEcWXMXx1oH+5YRh1xgqc83FV+sxXn1KFdi2n5RJcqFCpqNq1bdQFzY1njFhrobsHwX+fA8c/0AGFEabqnlk9uWLp2oo0Hx3dkHB48yNlsPVrZ8NdJBZqAaGmJOZwZF5RD21U/0TTXtxb4DRAioth0OmypG5sANkZhwcO8QtNjMtZoLT9XFWC1Sin7vGCRiSQ4f5peF4bkcF1DewKC0tHKirAgLs7YRAKBMluH/e/0alSoPK9Vsk0hyLQWrkH249s18LzuzvEePz2uBgWtNU5TnlFc+hTrYKHpfVigfXytIwAAuygHeFgs6AfQAG6AjJkpW9TzXoP8xm64z9W18ZrK+Yu23K/Dz8g4jbV18bNA/Fivs3565bZ0sLf1pB4bIEZDmLpc03Qn97He7ROaT4dnDURvVZmOf0AzcpMPrE+pAiHK/9nGBOiwcut/7FTvZmTA3ISfWDn92CqxXqozuHLMdKz5g1eZPKfZYo7k/E1kWUcEtjicIwgwyA/Hnvj4NkUYg/77Rs9fKT7tM3WqC1e67/OVn+J/X9t89btCDixKrV7lyS2eKlGnlnLnQch8qLvTDgYenr148fhhDonoke2vUHFRyQFySAGnKiEi7ptNaf71wvI4hGvGjnExIx3F7Agxq0U/Ix593Oz51vyh7ear0olkFp6TWc6fvUY8p6eA80qKGcuDgDXXWAdKeJs49IJxXW9k9MSX6EytXRszmjWMCHJ3XpsFS8ATOPl9qcxNk7Y7X3qPvpeWn8RzthZKjLkglr/cYj3hQum5uFTBFAXmmTK/aY4ry8Zt+OuPTxltOcKQbTrC3zcJzo939Oh2xUgm/XGU8YYL0fRiWcWKEtXTXkaVHc2m3b9oKZ/Vo6OeQoCl+/o0WaL4a72Vn4x94vNJAY7UioPrEI4E8BPJT2wGcbVmpPGrLmCT1x7w5Xh7HHYyMOqsbITdea9WPJzvbeSS0ukuLKg+TlxeFV6fPit+WRuXzW0Mn9ETjzO+kDgVc6Zu+SywEZ0mZPpYYE7Jo62Dft7vP/uc4+OoCC+Q1zq6oF3NA/Tp89mRASpbuLvELxzvm3vFT3WKnbWhbLBjIt3m/eJCrwiFO8gOovfFjPJm7rCOyamluixumtUQPcJy0ZlJVNFs9XbuswE4bjHeMMbcUkkjOb3aQo5ENWx5Fxj/oy+MFyIJNp+eF8EtEY5pGk3hyNraOm2bBHTWtlcXFxoTUpkMgiu/27SZdmf0cIggMOeiBDrdtpYWC4RVCaAUXH0WbTTVRdUqGWr6jX7LproU04XvAHMaztgAjLWQfd1KnKxuvvYNhNJG8FhtmZxvh5bzsQzbd8wyVDQsZTGG1GAQMAXuyfyLreupf3Ctsc+0h586S0M5umnZUlV6/BsEyJRQNupmRLOkts9GlpvnFUlOjCa2l6zVAYDTuvnbnScHH/rM7dRr4PXvqTG47XvcMKRr+asvfCVEr08rS7V7tJax8Og3REbJwXMA/PCuXdC37f8PuhwELmRXagFRlZgrjwm+VCnIptPqOhIQNZp1qB31XCcaYQTDvHjlFCUgvUf9zH46iavhdn7upIX8ZHIsM4XUNtSjiOlxA9ESHFnIssUi9IBHVpCYRPUEUPiqpk9+JKaMjUaE5YeGnqWaF5vOI5MkUC5D4zfHzYTavoMgqYrpyTfBbHRb4KWtAXC8yNs0iR0brRdx9bDwd4l6mFTiU+j/v56CH31uRz/hdGP9PfXpvANPXyQf7Q34Fw/EQctnz11qgEtxPpt8+E1lkt1UByFX8zAP8dlNJRBiJnoiJyfx/zuTsoT7pwR6drvh1239n3KgfHW4+q94gxkVluDMgIaCPCoTWXfSEgM1QhjyW4jYqftYIu7jr6cd0ASlFoJtWCQqEiC+iDe5kP+i/ISW9oAVlQkKR3CoYrDR5N16LHw53ERw3DW/1lRAJA+SBAl5Buab8K/cQC5F2+uOLWUyWYtmZqAQpbPiDYkG5U4v3WOs7b4qdUztChrA6IuL2J5K895ec92gX1qqy5v/5eemHF0IP5d/a7rFiCq8VW8Fgb/ML5TqvGeRzH8Yfb5mo52NqsNAzKapBSW3K0JNtlULbj1s1zfC89bDS08xQePrbB3aw2cpCbg9vsncExoDPBodkr2CPjwfF9nXe3fjZXJxvuWRkWF2FyJXfuViTauh4Av1tIWguFfo8mIMzPzxOVzIOmRliJOLsU0cA2aY5ymOTZi2Iwj2VmbnoIAbo9ZPhuNHE6kUjVFVLX0BKnR5dCdVOzgNiK3hKFxBZyEP5bWO/eKwqZxhDw3kDWbV+jMC+X7S0t4mImU7Y3OQfsvhF3+J1zjYD6fdAyjQHFkibwQ//e4eXvDrUaRi+VQ/vsJz3e7JcpKf/09syDKQW1g8eYs/uVF6jePuACnrTptmKFNeIM3WHZJmJPBgZ7MYHN6Ms9jmG/sAuDgne7LhtUviFoZouwBHxPvIT8Zrms5TbD9c8EHYDjKnSraqkKaga578sxgzSET+4FKbrhRqY+PtgVZCc87rAJvFz606jniudjTeLu5Q8nPHoqsh9/6orC/kE8RHw7DZkd7yOlhUQSzEI2eaeoyCfnjUCCNsvCrugFAUPp+p5JN681j5Ie+POKTdQbOLEDfxGNmmFTaHjGSfPZH5dsXEKx8Ih9+NXZA0lLj564Mz69th6oDCLY0CgaQ0FJI03R8JmwoqQpU1Gpz7Od6+fsDz9zWXPrMv5WJ2+Xg1kn3A+2CnPPqKZRRk9KQQGStemnCRuHIOL0QHN4IUl1fMlgR0tGpNZUjVwVPO3SGChO8J1/12pdyMCjIf3Flzvtm3aTKRVV4DMRt3C5t7kkNwsFBX609zhb9BLDLCr1doVB0P3MFs1tBz3C3TB3qD29vyzOdvXVU+eo5A1uxy6eMduD9gPl5Sabk+6mJSlm1C0yQ8O3A5iQpZ+JlfwglZsQeDnyNYZsJGIHjv8iTf7/NSa8cC30cDuK3paOmTZrKxPe83I+OcMij67Z72Fre2/YE6EmPcU16NGxeToXcfzGF2tN0WTBYswx+6JHYOjIddNzjqdm3f2p1y7npd/JazFolDgYqqeNxkgRjbP/YuEqdYMfUUiHAybzV0NBDYTtdBiTbLHK28jTY7Bd8AHs6m/ueD5UxXGyS1+DtGofmAEg9Z5XQWOzmkh0yb7wXGP0Kas4PBmPA5heG+Kh1qfX6UFTfuY6mkolEglb2HitMhWlB1BcVtyE8ldaN4qmRjIyZIAzYGi5WlnoTsL/Rym6W/sqw3xN9ZkKmIMZChDhlRj2k3DA90rC+ux8SMkFNnHL1ZFIrOLTLF7d2P5yDB0M26RPAJgIVf2bCOV+gCi3oyMReSAlMZ7TLa03SWZ+5HB/n99g4mbYcvng/aLDaOH/hBb0z3Jbf01zR//Ze3IQeK3QIpV9DWXjuE81hh2bbNRkJC+xI4AG/fr10lq88oriian+TWIDDCaN1JeA5FYAf4y0DSRw435N15Kf3tMIZ80iMJAPdeVQh15rcYacyI563y0mrBsxGhWU5aTJ0GahNHOByhcTA0kZ0cElhZ5X0Myj89EJRSa3JaG0CUAguZeMJAnDttOIXR1SQbwFoZomL0WkE7bZ8nViPJ4Q2exkoJA/Irmd3e/NTcBT66OogoYYSEVHKfIeeghpAHlPgCNfh7ju/iwJETNKBSVyOT8KYPRC0Hm5xxy3rc1zqtCze3Jg37hJaNG+qq5RfyjCYlXOZFqJ5J0snjrWLfKpgZLJTDAe3s8XBTQ/TeWXn9Mk6MBhs6CGj6L4BNGlQRxhTsDnthV82Jyw0QV83rtoBsoPIOLuAgKxXSCBQEB4r63tJVp/Cvl8aLte/XwPrvO/p9uGkhsaWWw0Ym2PE9emMgQG7rx5skOaX7cp9zOq5JDViQSl1oX/GNVFGgUGhO8O4pk9Whu4agI6W0WXEptM2NP3JWhpqrkuCazE8ZpOTXtxWVQyCchU0W7WasD+BTo5x2jG6cf6MNlteYqlHFxNQ20xbJ3+yZVzJ4cyFvMivH/2av9yRdl2ZkW1M2iNMoM5KGYXQozT35imqRAGsWV5sK8G2IQR0pEoZDKQ0c7YLCS358mgG1g2+nRGtGO2E+IjMEpCc2knKgWIT37QLiwIQboWlTejcCgZhETbjvE9ImJCPNSP7MBcReudFEEsLaWg9AEC790eAHdYoZCQ+paFXf7ItR5QCO2T8Lrl7exyOFQMTJYOLmaSSJqIUd/e3t7gWHi2d7HkIMLGvIssYRGA0W5NnLWm+b8+Hl7f/Awanz+G+2+sx6Fy4iOAeoJni37RxtFbrixP7bO8AhIOWzBFjpUJ9WFM9rC4a6nqFH7jzuDysTp6SzamOs3TmtwhyjFRSYbnEXfrCmyJtKk8iGHoG6wdUkHrYx2ekIfDFKPhR34EdJgTRB5V1V+F9qrmfpm8XC7oopK8txMkXvCpfViURi4bdOTp2thKjLg4EjC0jfXYodlQV1NPJKW0ApvMbaGQ+MAVkFHuH3EpiojbxH/N4wKdIiaDYY4DUNsiGOr/I4VrL8kqqwYUyG7bDAYiY7mFxkfI5ogBh7BJOtLL3CRqwUsyjJplSCLG7wHwJyH431dg2PCx2ISTg3KelzTm7o6fhHoSXSsePXqU+EaQPcdpHW8oWuy3rtwt5lSnqJdqLqkJmYIHJQ2NwqoDgK144SfGo8822ugeQI72ChUCWQntagNRNzLoaduwBkm/ygy7ejYmWb6/saVw6PK5zgeXjQhEC9vhCpp2c4C55WKb4lCNrIClZ3TWPbKUk+coDBqyUGyxnYWfZEGQw9v3EMePx5n1k0jqG8+d/AP15WaEvN/famGmZLTlvrOFlKK60kaFKz5WWL9d6/G5Ei+cnahrCl6zGjlXvASjBOKWCdvMGvbMWTwlp5zV+CYqkGtzWPfgBWz6hUMLZw8LK6xshKaLYnZHdAJReM0xzG3e0fgiMr+0MrjR1l5hZJQv9jDcfdrCyw9LGxoaueTwvd42p/wxTrQXjl661hc9ftdgSonMj7BxgmFz892H7z7q/O+Xq+stkQDfPYn1nGg+f79kRUUVX3fE0uawuN9yQ9y7Jz+h65J+KSc5i9s8CGG0BLkjIrC12nqtQV6heGsGXTvIigsenT4QdPMkUSd6uK8hMvQEaqMhZbRmTzPBLMmjuiLMe4IEnTAX25zQPq/z7kTqZXI0SBn+ngIE3Gocv9NJeBw/nIP0PjJwyhhJEsmIkKMX8rX4dvf2NKBkoQ+yu0yX2ieOvL5jcsDF+N5Znlg/1KfoJpHc2JAcHFdMXI0IUm4dJQ1Y4EwBNQHfPew+YWkIXiRdI1UNXkf0T777sDqlqkHYBA0pJOEbDvq6gVoZEJ63rJ6FduiihxB4Jlb8+PopDaEBv8/IY3GagfUU0k+dE5PwXdPEfsM7klHKRTeIpcL6vHtSHL5Dh5vUeNOoZO5EWe3R0FdXcU/e3Q5fJX/pkn2uPXGVGnd0ZVRgspz+gKkrLzjp1uo9jMwY6LDev26ZBzY65/C7gPXn+vq71+N44kvGRGNgoufjlIZiq4SF2kqVP6wu/qTlkugj4sFzVButljg2ity1ti2TOELBeEkVEw2Dfv+kWlAdYU83tv0PkEqCEYH3o/xkdUsfG5s/tuSGnddyuD1pMQpjuRGMl0hWVW+dRVHDohOAjADo/H9FEgH3ABhn7wjj2ntPQqZ+EthsYHZK2STk1V7i+KrjfyVB6ZLoO54RtUzmiLetqxJ9WuVE+JHKCVrkcqNEnq5rP//X+XKQTNR0pwkhrHtZ80fUc8WLy8bRXO03HlPtX2xwwyHp1qCjCat6v5vw3x2e/2z5UHiuHjl+1mWZWNgZLxdXeavZucbVEZe/5ayJ1M70yzsv+V/OH1Ou+8tvljUhq96+f90GYPTG8YBk6LzsHVJpVWyakpKaDszVB9LLv/a9xbfU5z9+bPRBQwzmuXEO3/Wce+Td45fKh/0cp8K6R9yKdTthW6YtuOa1y/9W6mupjP52p0q9lqzseNp0G4Dfn3nhtbW7wjM0lU22L727RhWedO1Oq9v1968dED+aHglyupHzv2ev2hiVxLEd/I1UUXk7MyWp3lnXbkfjMVNVwkHtlALQ7QAmPMnS+0d+DTxWsazPlHXxXtY/zuwQ8vlGWuoZ9lMayHkl7m87+IOLy25TGH6W85iqrfj4VfQp+FhmZ7cDuO7BPubF38qXVf6wOMp31wjrNgej2xTSM9A/SwPdCmBMP1rbxZuyuFwfTzzhNGIuhJJYXMFmZ7dnc84ztSO6lNn1z1J/z2y+VAPdBmAijBZ1MCvi3J2EfsUR1gonnV9moNtFRp/xdXIwQo2IKfUA+EtX81/YvtsAjHTLv5+Stjq/tpK44SYi+XQeCsmX5FeyYJzcw7ZLyH/hEvRM+Us08B/GpYLDa3exLAAAAABJRU5ErkJggg==极差:data:image/png;base64,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.(1)平均值:8.6(2)中位数:8(3)极差:6(4)标准差:2.43.样本均值为:(158×20+152×10)/(20+10)=156
第十章统计过程控制一、不定项选择题1.B 2.B 3.C 4.A 5.C6.ABCD 7.ABC 8.ACD 9.BC 10.ABCD二、简答题1.统计过程控制(SPC)就是根据产品质量的统计观点,运用数理统计方法对生产制造过程或服务形成过程的数据加以收集、整理和分析,从而了解、预测和监控过程的运行状态和水平。统计过程控制主要解决两个问题:一是过程是否稳定,二是过程能力是否充足。前者可利用控制图(Control Chart)来进行监测,后者可通过过程能力分析来完成。2.过程能力又被称为工序能力,是指过程处于稳定状态下的过程(或工序)的实际加工能力,也是指过程生产出合格产品的能力。它是衡量过程加工内在一致性的指标。影响过程能力的因素主要有以下几个方面:(1)操作者,如操作人员的技术水平、熟练程度、质量意识、责任心等。设备,如设备精度的稳定性、性能的可靠性定位装置和传动装置的准确性、设备的冷却润滑的保护情况、动力供应的稳定程度等。(2)材料,如材料的成分、物理性能与化学性能,配套元器件的质量等。(3)工艺,如工艺流程的安排,过程之间的衔接,工艺方法、工艺装备、工艺参数、测量方法的选择,过程加工的指导文件,工艺卡、操作规范、作业指导节等。(4)环境,如生产现场的温度、湿度、噪声干扰、振动、照明、现场污染程度等。3.(1)调整过程加工的分布中心以减小偏移量。(2)减小分散程度。可以通过以下措施减小分散程度:①修订操作规程优化工艺参数,补充或增添中间过程,推广应用新工艺、新技术;②改造或更新与产品质量标准要求相适应的设备,对设备进行周期性检查,按计划进行维护,从而保证设备的精度;③提高工具、工艺装备的精度,对大型工艺装备进行周期性检查,加强维护保养,以保证工装的精度;④按产品质量要求和设备精度要求来保证环境条件;⑤加强人员培训,提高操作者的技术水平和质量意识;⑥加强现场质量控制。(3)修订标准范围。当确信若降低标准要求或放宽公差范围不致影响产品质量时,就可以修订不切实际的现有公差的要求。4.(1)制作时机不同:初始过程研究时用分析用控制图;日常过程控制用控制用控制图。(2)使用者不同:管理者用分析用控制图;操作者用控制用控制图。(3)方式不同:分析用控制图先采集数据,画控制限;控制用控制图沿用控制限,然后描点。(4)作用不同:分析用控制图对过程进行研究,了解过程的稳定性和能力,是对过程的事后了解;控制用控制图对过程进行控制,保持过程的稳定,是对过程的事前控制。(5)预防性不同:分析用控制图没有预防性;控制用控制图有预防作用。5.第Ⅰ类错误是虚发报警(False Alarm)。将正常判为异常,即生产仍处于统计控制状态,但由于随机性因素的影响,点子超出控制限,虚发警报而将生产误判为出现了异常。第Ⅱ类错误是漏发报警(FalseMissing)。将异常判为正常,生产已经变化为非统计控制状态,但点子没有超出控制限,而将生产误判为正常,这是漏发警报。把犯第Ⅱ类错误的概率记作β。这两类错误不可以同时避免。孤立地看,哪类错误都可以缩小,甚至避免,但是要同时避免两类错误是不可能的。显然,放宽控制限可以减少第Ⅰ类风险。但是,由于将界限从3σ扩大到5σ,因而使第Ⅱ类风险增大,即β增大。如果压缩控制限,则可以减少犯第Ⅱ类错误的概率β,但会增加犯第I类错误的概率α。三、案例分析题1.解:data:image/png;base64,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data:image/png;base64,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:image/png;base64,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data:image/png;base64,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data:image/png;base64,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data:image/png;base64,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=data:image/png;base64,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0.999987]=0.035943≈3.59%2.解:data:image/png;base64,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data:image/png;base64,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=data:image/png;base64,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=data:image/png;base64,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data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJMAAAAaCAYAAACzWm4FAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAA9/SURBVGhD7Vp5PFXbF9/3utzrGiLzzEs0mCLqJ2N4RUqZHhWpX4lKr7lIR85rkBLppTRQkpeoXkVJKZRCxUOGJPOQ8BTCnX/7XEMITff93j93fT6He/Zea+21v2vttdfe9xICAwMBl7gIcAIBAieUcHVwEcAQ4AYTNw44hgA3mDgGJVcRN5i4McAxBLjBxDEouYq4wcSNAY4hwA0mjkHJVTQsmBAEkb5/+qLsfVG3SnIp+p7T8ED9QtbTZTVSSppIATGv3uGrLhePNQaCLFA1n20mm57TRZBw3dn7Li6oHEXR1gF+xNFQZ7allUBOEyBqWe7sKrgX1Ar7K0fqQ3wspvvvzyZKHtla+B5F6aONp9JwSumKkL/YrSPrXkEdHzEe6rNT0/YnNQnDj6R+mV6s2XPvNZwcrugFnItc+FIj2a0JWUJ0OoF2pKDx41YtiXwoz+I8bjskw/zWbX/QqSkxU6LTYxADxHtSRGDChNqAdaVkFO3h9LiYPjhP2aSQKOlb2qveyD1BP2BthpL040nlIsokm427yE8ODPpwMJimEisWbXEzPV3yQUPK/MgyJ0opSOSkcciaCtEdXk53RB12y62dkni3JCHgv9XT3Lxsyc8jR45jxcqw3rOy8ZrQZJebthJvi2Txhd76Ths7pdcesNZ/crRq4svff/1vVXWY0eqgAmrS2XNT6WkHfvE/Q9+4HpmddgZ91QeCocBZv1CvVe5JwY0TlzD+AED+OADvPgu2HZpzlhlSb3QaMMVgnxF8shAkAOdtIfVURG4S8X3DmxJMZpKytDwTLy7xVlz1aGSrfeUau9TybqXFZBMj/DbpnjKrJHTTvHLXDXvkANg39gJBSFG7rLVPVxp9tNFgvPwafOE8Jh/zWZuW2iHFVFEV2gJYnZiDeS4FOnqsc7QLf4M3J/sAoJ0HQOHX6PsWHnViuf3m5SaRJR1a4j87rLL7+ATcxORVNX+6P70pN+zWyZWP7sj7Gu0RS2RjRICGCaRGB6XeyJ+o0tD0hKe6+ycwXRnPgsZxlJLOtiemV4vN8ji1XrcVbcuXeR43P/uxYBgx4UwS5Qza8Gm1mWjtcbh9LayB+Fdn9rGlcKUzEKOGNovN9yMak40PIqGIW6BJAH+xjHBmNrrTFSVQGp2VK41t/U85JRta74ZpxH3HFmuzuNDk6AKKEvNlWSaDaLiULjrKbDCnxO1dGVrUwS8mgWdgHH1Zpf2WFv+k+AJzu2A/nfdnHmNNS8TygnZnq+ycYK15qHcvINe0fSgVd/eKMBXvjkIQj7zF0/zm5VydsfOvOCQW2lw9BnjKBMCbTSOwsEDS/BLA0D5ytK/t/Wu1k6WmxAcrSwWjTQjiMu3Pk/sTsjtkBMrePGR+UJgL5kC7OekvBFkjfvfc+aSbBWKKdQ1ZuBqqGpiuCFi5/QbHpNXeQAIjskT8rR43PDuVJn413Kz1KPoKZqZyKpMkE664adfDWYGxe6LbxTeQ+PpB/dJsv7IfQRyl1xif1uWbtJW5DoAqFMppyXVdEGks8yvKbFukBsDJQVXMdrm3Ld0kkrQ8tt0w2e2Glr0TmemAVxA3G77x4ywDg2wACIJOY3c319QzeIUmghYKPU8Ba+gsq2SJam4/vtkh2evJtZLXBD5280jKv7Tqt4eNMvoGupJtNbReLDP1kWjPSxH5ySYwkNiv0Kl82xdpO5P1V5aoxqLvglUDgZEqmAmKj/YLmDGVxMRAHZOOZXqecWBh0RnseKWNwzPY1fXU3zm9BCgquG4Ml4OB1NeR844lqBqIhuxOPmp1KfmRgLDpaAvla/SPzdP4kUWWDVX09U2bsS12/8VOcU8B/PCYwEoOxGeZT5rnxdSH57MOJiCIMwFFL2MTiwevUdDZCwRYLBYYtbD4EeuYtQsovUIiYvLSWN3BD5/3M4zn8fBlF4GryQ8YvqpDlOPVszXVRUqLGqostiU8Xei6wOJZfIi/bqeSIW2Sls5vcBId/Q7GtWelzAyJ9J4eUidnoTjP66rXEuXI5CIAgs9U1UKeWhQtBlQWD+9Awhk6BWSL/Oydns838dmsi+EPP0iqn+XhDPvZnkbRUnaaGqAXBw2W1fLOUFGysbMHyQWfIdH0x2a1wm5+wKOiEQrtezMOVB38fARAIJEhxF3jIgoDmPeyj57Na2BI3eeikvK4b91A26qwuvFKEVxIFAYviQVN5rS/UDQZq7/YMdHVi2PHxDBA+i1HI2vvyfC+qy3KerAEbJgjMPI0N27xiCCLJ+2wc9U/fJO9RY5KU4xXAb/UcxlVgysJslUX0z/yEEFOSdN1+MYuogl8JByBhQO93b3DxkTRxHYk2GdVlVPQrTi0al+pIihlAbKzgLF95gkn1aj+ZASasw5bHQlKWVncSbTvFNPjs3QwTUoeUYRChxBW3T71mZ2wHXdx87xjhQLmjDvLZ65dvR/E43B4jK97JDOWlfb9koJW8U4titcDf6LJwzkQ76nq/pvuRbSp2b8IPmi7Nxf9tOFgsrdD1tgu2XaWjwrFUlNTZaaLdIO3LSzxgOgbLpgmPpICWB7yR51Sa1rWiLGFG7pIDi09rJa5ANxl77WfEfTyOOTnojnD2cVb/Xp+85hc+g6+rLuJB5KPo+io0Q1dNOYYWJmQHlbFG3E2k4mrBOy0/A2En8oCPN5fEiAQAHaq6k/L8BOen8igUoG6kpgOfBOETzumg8mCuxhteMzD/Vps30JT38c0E9rSzW5eW63VylPRxQ2/Xw31seAR9zQFgF2wS83Zfk9Ivyc1coHKpEjU//zZ1aURprtO96jVxMSPZx8WSDmHrFwTyvkMqEYWq3E4HMNdA5CpNAp4dDM0MKeJUDlLhr5lQEdLqodTBf0nee2lS8NHntTg4Ze0a57v789E3WjHz/ttzUBRLGaGEhHgmCuhN7BTISgsLORvmcALWnveScBXNo5wfMDDQ0iHH0cEUwmrsqGdKiyhgIN9MLsCypdwH9mP52MaAhYLy7hjEovBYkJnYLE6fqocXQPz7/Ls8wrS03eFCYBF3xRMKHotSUjPMSlQz3Hceb0+0J+TB7iUtSuECV09DAJOHTaxj9rtDa97WfzCwMzCgAjeY7tSP1VE6RZ1Ehe9FJl6ZWF9xpMzZzIAcjL85aM57oSXxX8FIOeRy9CpHwYcG51c9WbfUhkkY1veg56mys1Qy7jBBPuFarrIP9/KLbwCbhtgW+5WuHAVqUUZ4NTfLIVOSft8uEOyjcEyW5SPCVKON6TFOyhcjx5ykQH7BBN3WCXk8tpYmPgEWGYEoxkjQYE2dgKgtNC//2c+2HVCnN/i+rAm41JblY9wXfRT891R8GwHFDoL8BIHbia+NZTgsTKm+ITOkvXwGV8Wnhi+XTmUwHwg+6rstYiQPk6ACRSHBROJwKQQeIkAVqIQBM4RiqY9EBfoeZdTUKA0sAJe1bZo4gT0gMcv08prhl4O4MkMPh4cwLNYQ2yjMwm8JECWEMXuOZhK3VWOmROcupRoz1PYVgrJCvMItwIJSREaqP9kN5wsnY+AYxIIfFjje+wPu+bi1fMI9NEbZKy7FmD4dtYCtUshnh6wH1Zd/VQR4fS4ml+NZGB1OhpFK4Yi8jx2S8iF1xJzG1aEz8SnoXnwXkwi4lCOabrnulSN43113Sgk0EOlAwa1Z7wivV9sDk5eXJCUVlcFr8fQUbMSLL/omL8gUOy5/RNE4mVRCEwimDhKTMDFgb97oMC7KK6JmUkACWyHLdeVFv9AlnWOeyRgXNOcDW4kPHbTNjBpEppvVpY7xkXftxq+xMk8qvrPl4F2h++H/SpPTbxTprpk4sy5aTWRaCrix6Pmahn94HL7XHgZeGiZtnBE7Ku/85e/YP283E6BURC9Y799jZQ5mGxuvguO2ysljk94dvsCEFuz0k2gPCor/Db1BHXyog5dMzXkbWyfZS6mJlptrTXmv8V0KLwh5YPT19M3MkV0L+zdaItdbg7WAWscpyrtvT5R9+/mdyCroU0GirKDCctKV3wXHH3Wqwo2+1ocrj/waRfym9es5b0tzbMQN7O91hmnHQDPm83lKVsZCu7KnqJgxhMA/hoDH4IgPwxsFpjwFfhRFCbiCygNbSoLkLCpsB4sHZBxMTX4qb2n0+bYNcr06o5cEHL1oY+ItO6JjZ62dXBufSfgHyRHQxXJHjDBKfYh0bC2LRskJD5aoaVr0iJka1Y+EBPYWMJV9fKiUrr4+RKgmR1MFS/iZ14uJs2/+6yjpPHDg/yrQVTB3Ckmy93mm2FH9poftIstbrzuShi//C7JtYd3iu3uEFhi4LL9ZITvQl92iqUTKLAwyIX1BbzlPt6FXK9wlwswaQ69HGp8gNalZW3rTrXetmL9+zuRN4ANwjNBZ9o6vQeJcx7+fnhBbcVzNZtVOx6v3uwRWR979OGArfcTD1nffdVrnPam6xK16izzNK3CUEprMXZyjYDP4NG86M4t06wG8Kj8dQTtV2l5yUXs6gajBFbaszc3lHSciasIoG7oRtDcwq/2orgyrradfT/qgP2JuPT0haGL/SNY7rfAYBqL2rt6aBdhUVv9JUyho7ocdRWu6jfi0VsvqPPh8WAwmJ4mh5onlTDnp77sSulg/EGPOdqsLqlmucLN0zYM6h0rK35pyGH9lZnnDRJKSPNT8zoL33bce54Q1CsKY8LNx9YMw68OY4bZWH7t3Csk6RlzKi3hEmEHUzbONEVZA6Ss1Zg1TGHVd+6lo1ndd6Qnb7CzsuvrpuWDWBSWJ5DQYErNlLnu9gM/IEbRQFjng222rtiu2Efv71zo44WXmPDfSZXZ1idVsIZ5WOnBAPUZ54YN2yrxn0N6EuCQnpH5kPZWTH4YX/ZH1RjnDb/G9DV+qt2w6wE5k6VecnAtjZQ5lyecuHiTf+Lizyba/RnvUBaopwkI67svFv665DHNc0OCThaC3j55ZoWtIggd0FUjOOecpgGAj/EQ9TQAT2SfWfS9DXkE06RJWiDJW2t4TOQNGaPs/BGkhqAnqm5luh7OrfubCvDvNYwr930IoGhm2cpfTDa1Rz0Ouy9oEZoZtnondNrIE+P3Kf8BKVgCEHPjd++JTO5aUyhivcMwNxp+W8X92e4PQPr/EY15znfMa6HcxxMZmbtdtuPVpwkBePn/71LO5aCLfz6iORUKLfT1Un17eMAabmb6d/3yVaMn1gifPRHlekXbPkFimg75q2T+Sab023nbZdZe2Waahg650+Fmpn8Sc47qhl9xdDjokDlSXP+oYRRVjRpK2uf1GTcz/SiyXPlBBLjBxA0GjiHwPyfqVqnNJSkxAAAAAElFTkSuQmCC[查附表,即标准正态分布函数表,得data:image/png;base64,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0.831472,而data:image/png;base64,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≈1]=0.168528≈16.85%3.由题意可知,UCL=1.2,LCL=0.8,Cp=1.0,Cpk=Cpku=0.8,由Cpku=(UCL-CL)/3s,得CL=UCL-Cpku×3s;由Cp=(UCL-LCL)/6s,得6s=(UCL-LCL)/Cp,3s=(UCL-LCL)/2Cp,因此:CL=UCL-Cpku×3s=UCL-Cpku×(UCL-LCL)/2Cp=1.2-0.8×(1.2-0.8)/(2×1.0)=1.2-0.8×0.4/2=1.2-0.16=1.04(mm)4.采用均值-极差控制图。
第十一章质量管理常用方法与工具一、单项选择题1.C 2.C 3.A 4.D 5.B6.ABE 7.ABC 8.ABCD 9.BD 10.ABCDE二、简答题1.根据应用场合的不同,质量工具可以分为以下两大类:(1)帮助建立解决质量管理问题的思路的工具,例如,头脑风暴、亲和图等。这些工具并不直接针对过程或产品中的数据,而是更强调一种创造性思维,强调跳出框框。这类工具更多地应用在管理和策划活动中。(2)分析和处理过程或产品中的数据波动的工具。这类工具是以统计技术为核心,用于质量控制或质量改进的各个阶段中,以帮助我们系统地识别、分析、诊断和改进产品或过程。2.(1)确定质量管理活动的阶段。选择质量工具时需要考虑处于质量管理活动的哪一个阶段,根据不同阶段选择适宜的质量工具;(2)确定质量工具要完成的任务。确定所处的阶段,选择具体质量工具并确定所要达到的目标;(3)质量工具矩阵的使用。由于质量管理涉及的范围几乎覆盖了组织的所有领域,因此适用的工具和方法非常多,而且还不断会有新的工具出现,我们可根据质量工具矩阵表针对不同阶段选择合适的质量工具。3.分层法就是分析产品质量原因的一种常用统计方法。分层法又称分类法、分组法,是指按照一定标志,把收集到的大量有关某一特定主题的统计数据、意见等加以归类、整理和汇总。常用的分层标志有5M1E、时间、意见和观点等,可根据具体情况灵活选用和细分,也可以在质量管理活动中不断开发出新的分层标志。分层法的应用程序通常包括以下步骤:(1)收集数据和意见;(2)将采集到的数据或意见根据不同目的选择分层标志;(3)分层;(4)按层归类;(5)画分层归类图。4.因果图又称石川图、鱼骨图、特性要因分析图、树枝图等,是表示质量特性波动与其潜在原因的关系,即表达和分析因果关系的一种图表。因果图的应用程序主要包括以下步骤:(1)确定待分析的结果(质量问题),将其写在右侧的方框内,画出主箭线;(2)确定影响该质量问题的原因的分类方法。一般按其影响因素——人、机、料、法、环五大因素分类,将其写在原因类别方框内,画出支箭线;(3)将各分类项目分别展开,每个支箭线表示各项目中造成质量问题的一个原因——第一层原因,将代表第一层原因的支箭线与主箭线平行绘制;(4)进一步分析每一个第一层原因,找出导致它们质量不好的原因,逐类细分,用粗细不同、长短不一的支箭线表示,指导能采取具体的措施为止;(5)分析图上标出的各级原因是否有遗漏,找出主要原因;(6)标明因果图的名称、绘图者、绘图时间、参与分析人员等。5.质量功能展开(QFD)是一种把顾客或市场的要求转化为设计要求、生产制造要求、试验检验要求、售后服务要求等的多层次质量演绎分析方法。美国供应商协会(ASI)提出并倡导的四阶段展开方法,从顾客需求开始,依托四个矩阵完成QFD四阶段展开,最终得出产品的工艺和生产(质量)控制参数。ASI提出并倡导的四阶段包括:(1)产品规划阶段;(2)零件配置阶段;(3)工艺设计阶段;(4)生产控制阶段。三、案例分析题1.(1)建立因果图时必须通过有效的方法,比如头脑风暴法,充分发扬民主,畅所欲言,集思广益,把每个人的意见都记录下来;(2)确定需要分析的质量问题不能笼统,要具体。一张因果图分析一个主要质量问题;(3)因果图的层次要分明。最高层次的原因应追溯到可以采取措施为止;(3)要因一定是在末端(最高层次)因素上,而不是在中间层次上;(4)因果图本身只能用于分析原因或建立假设,是否是真正原因需要进行验证;(5)因果图与排列图、对策表结合起来应用,即我国企业所谓的“两图一表”会收到很好的效果。2.(1)计算极差:R=Xmax-Xmin=30.021-29.969=0.052mm(2)确定组距:h=R/k=0.052/10≈0.005mm(3)计算第一组的上下限值:第一组下限值=Xmin-1/2最小测量单位=29.969-0.001/2=29.9685,第一组上限值=第一组下限值+组距=29.9685+0.005=29.9735(4)分析原因:出现锯齿型可能是由于测量数据不准确引起。工序分布中心与公差中心M不重合,应调整分布中心与M重合。3.(1)计算极差R=Xmax-Xmin=351-302=49(克)(2)确定组距:h=R/k=49/10=4.9≈5(克)(3)计算第一组的上下限值:第一组下限值=Xmin-1/2最小测量单位=302-1/2=302-0.5=301.5(克),第一组上限值=第一组下限值+组距=301.5+5=306.5(克)(4)工序调整措施:当直方图中出现了两个峰,这是由于观测值来自两个总体、两个分布的数据混合在一起造成的。如两种有一定差别的原料所生产的产品混合在一起,或者就是两种产品混在一起,此时应当加以分层。
第十二章六西格玛管理一、不定项选择题1.C 2.D 3.A 4.A 5.D6.AD 7.DE 8.ACD 9.ABCD 10.ABCDE二、简答题1.不同西格玛下的质量水平如表12-1所示。表12-1不同σ下的质量水平
西格玛均值无偏条件下均值1.5σ偏移条件下
每百万机会缺陷数合格率每百万机会缺陷数合格率
1σ31730068.2769777030.23
2σ4550095.5430877069.13
3σ270099.736681093.32
4σ6399.9937621099.3790
5σ0.5799.99994323399.97670
6σ0.00299.99999983.499.99966
2.DMAIC模式五个阶段的工作内容包括:(1)界定阶段。界定阶段是六西格玛改进项目的策划与启动阶段,主要涉及界定项目的范围、项目的目标、项目实施团队以及项目实施计划等方面的内容。(2)测量阶段。测量阶段是在项目得到确定后,对拟改进对象(项目Y)当前的表现水平加以确定,一般用过程能力或不合格品率等指标来表征,同时验证对项目Y的测量系统的可接受性。该阶段的目的是确定当前的水平,以为后续改进程度的衡量打下基础。(3)分析阶段。分析阶段是六西格玛改进项目尤为关键的一个阶段。在该阶段,项目团队需要根据项目Y和那些潜在影响因素X的数据类型,通过搜集数据,运用相应的统计方法,如方差分析、回归分析等,确定起到主要影响作用的关键的少数X。该阶段也是六西格玛改进项目中,运用工具最多的阶段。(4)改进阶段。当起到主要影响作用的少数X得到确定后,在改进阶段,主要的任务是寻找到这些X的优化设定,以尽可能得到最佳的项目Y。在这个阶段,一般可能会用到实验设计(DOE)这样的方法或工具。(5)控制阶段。当主要影响因素X的优化设定明确,且项目Y的最佳水平已获得后,后续所需的活动自然是如何巩固和推广所获得的成果,这是控制阶段的主要任务。在这个阶段可能会涉及相关作业文件的制订或修订、统计过程控制等一系列活动。3.六西格玛设计主要的几种设计流程包括:(1)DMADV流程,即界定(Define)、测量(Measure)、分析(Analyze)、设计(Design)、验证(Verify),该模式可以充分利用已有的DMAIC流程,但其局限性是该流程主要适用于已经存在的产品或者流程的局部重新设计。(2)IDDOV流程,即识别(Identify)、界定(Define)、设计(Design)、优化(Optimize)、验证(Verify),该流程比较适合产品或流程的全新设计。(3)DMEDI流程,即界定(Define)、测量(Measure)、探索(Explore)、研发(Develop)、实现(Implement)。4.精益生产消除的八大浪费包括:①不良的浪费;②过分加工的浪费;③动作的浪费;④搬运的浪费;⑤库存的浪费;⑥制造过多过早的浪费;⑦等待的浪费;⑧管理的浪费,简称为八大浪费。5.DMAICII各阶段内容为:①界定阶段利用精益思想定义价值、提出流程框架,在此框架下,结合六西格玛工具,定义改进项目;②测量阶段把精益生产时间分析技术与六西格玛管理工具结合,测量过程管理现状;③分析阶段运用六西格玛技术与精益流动原则,分析变异和浪费;④改进阶段以流动和拉动为原则,运用两种模式中的所有可以利用的工具,对流程增加、重排、删除、简化、合并,同时对具体流程稳健性和过程能力改进;⑤控制阶段除了完成六西格玛管理控制内容外,还要对实施中产生的新问题进行总结,以便下一个循环对系统进行进一步完善。三、案例分析题1.解:DPU=16/8=2DPO=16/(8×10)=0.2DPMO=DPO×1000000=2000002.data:image/wmf;base64,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I-MR图,过程受控。
第十三章质量4.0时代的质量管理方法与工具一、不定项选择题1.D 2.BCD 3.C 4.C 5.D6.ABCD 7.ACD 8.ABCDE 9.ABCD 10.ABCDE二、简答题1.目前质量4.0尚无统一的定义。许多学者对此进行了探讨,主要观点包括:质量4.0是传统的质量管理实践和技术与机器学习、云技术、大数据、物联网和人工智能等新技术的集成。质量4.0是从人工测量、在质量图表上记录结果和重新调整制造过程,转变为全自动活动,即传感器进行测量、软件应用程序进行分析和控制自动调整的过程。质量4.0为与制造过程和活动相关的数据与质量管理的实时集成和同步,必须连接到实时分析系统,该系统可以监控、分析和控制整个价值链,以制定必要的对策,防止生产停止或产品拒绝。质量4.0是大数据驱动的全链质量管理,其中大数据涉及产品数据、运营数据、价值链数据以及外部数据,通过建模与仿真进一步扩大质量管理的范畴并提升其效率;全链包括供应链、价值链和产业链。质量4.0特点:(1)检测自动化;(2)结果数字化;(3)过程集成化。2.(1)质量和质量管理的范畴。一是质量管理对象大幅扩展。二是产品服务的质量维度增加数据特性。(2)质量供给。一是数据驱动的设计质量大幅提升;二是质量控制更加精准且智能,传统方法需改进;三是质量竞争更加激烈,质量创新更为迫切。(3)质量需求。消费者权利大幅提升。(4)质量基础设施。一是标准理念和实践发生变革;二是检验检测技术发展,检测认证机构权威性下降;三是质量管理方法面临更新。(5)质量监管。一是监管内容进一步扩展;二是社会共治的各方分工与协调需要重构;三是国际监管合作需要进一步加强,主导权归属可能存在争议。3.人工智能是计算机科学的一个分支,是研究、开发用于模拟、延伸和扩展人的智能的理论、方法、技术及应用系统的一门新的技术科学。人工智能对质量管理工具及方法带来的机遇和挑战:(1)人工智能促进质量专业人才研究重点的转型;(2)全球数字化发展趋势影响政府管理质量及测评方法;(3)机器学习与质量管理方法及工具将进一步交叉融合。4.区块链技术是一种互联网数据库技术,其基本特征是去中心化、公开透明、难以篡改,是一种安全的新兴互联网技术。基于区块链技术创新的质量控制方法:区块链技术的数字足迹防篡改特性也为质量界人士大量应用起来。用区块链技术建立的质量安全溯源体系,可对产品生产全过程及流通各环节发生的所有质量数据信息的管理和控制系统,实现多向追踪。实现对质量数据信息的搜索查询、采集、分析及汇总。5.大数据具有海量的数据规模、快速的数据流转、多样的数据类型和价值密度低四大特征。大数据环境下的质量管理方法与工具发展的趋势:(1)大数据环境促进新技术与统计质量管理方法的结合;(2)合理运用产品和服务过程中产生的大数据提高产品质量监控效果;(3)质量管理工具建模与大数据结合管理资产更有价值;(4)大数据环境下质量管理方法与技术创新支持质量提升势在必行。三、案例分析题1.利用大数据分析提升质量管理效力是未来质量管理领域一个很好的研究方向。大数据时代不断冲击管理理念和企业管理系统的变革也给质量管理工作带来前所未有的影响,加快研究利用大数据来推动质量管理及控制方法的创新势在必行。随着信息及信息通信技术的发展,全球数据信息量呈指数式增长,移动互联网、社交网络、移动互联、云计算等也促进企业的质量管理变革,通过大数据分析对掌握消费者行为,有利于企业在创新质量管理方法和模式时更加符合消费者利益,把控消费者趋势,有效分析数据信息并作出预判,从而改善企业自身生产水平、提升企业经营绩效,这将有助于打造企业核心竞争力。面临大数据所带来的挑战,质量管理必须积极面对、顺势而动,抓住大数据时代发展的变革契机,在应对新的市场竞争中顺势更新。
2.物联网大发展条件下,在质量管理业务领域需要诸如创造力、复杂问题解决和情商之类的技能。物联网数据本身无价值,但在识别隐藏模式、预测未来事件、预测使用情况和成本及从这些数据中获得洞察能力将有助于重塑制造业。
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