Materials Selection of Thermoplastic Matrices of Natural Fibre Composites for Cyclist Helmet Using an Integration of DMAIC Approach in Six Sigma Method Together with Grey Relational Analysis Approach

Natural fibre reinforced polymer composite(NFRPC)materials are gaining popularity in the modern world due to their eco-friendliness,lightweight nature,life-cycle superiority,biodegradability,low cost,and noble mechanical properties.Due to the wide variety of materials available that have comparable attributes and satisfy the requirements of the product design specification,material selection has become a crucial component of design for engineers.This paper discusses the study’s findings in choosing the suitable thermoplastic matrices of Natural Fibre Composites for Cyclist Helmet utilising the DMAIC,and GRA approaches.The results are based on integrating two decision methods implemented utilising two distinct decision-making approaches:qualitative and quantitative.This study suggested thermoplastic polyethylene as a particularly ideal matrix in composite cyclist helmets during the selection process for the best thermoplastic matrices material using the 6σtechnique,with the decision based on the highest performance,the lightest weight,and the most environmentally friendly criteria.The DMAIC and GRA approach significantly influenced the material selection process by offering different tools for each phase.In the future study,selection technique may have been more exhaustive if more information from other factors had been added.

Application of Six Sigma DMAIC Method in Improving the Good Rate of Blank Value of Cytological Method for Dairy Products

In this paper,the six Aigma DMAIC method was used to systematically analyze and study the process affecting the good rate of blank value of cytological method for dairy products.Through data collection,analysis and verification in each link,the room for improvement in the experimental process was identified.C&E matrix and FMEA were used to analyze the factors affecting the good rate of blank value.Through the DOE experiment design method and risk analysis,the main influencing factors were optimized and improved.The optimized experimental conditions were:silica gel activation temperature(500±50)℃,activation time(23±1)h,cells adherent rate(95±1)%,and single-use of 1.5 mL conical flask.Under the above conditions,the good rate of blank value of cytological method was improved from 52.8%to 100%.The improvement of these conditions is of great significance to ensure the accuracy of results,save the testing cost and improve the testing efficiency.

Overview of the Theoretical Exploration and Application of Lean Six Sigma

In contemporary contexts,Lean Six Sigma(LSS)is extensively utilized and has evolved across various sectors due to its substantial benefits.This paper aims to explore the definition,origin,and development of LSS,as well as its key tools,methods,theoretical research,and future prospects.Furthermore,it analyzes the theoretical foundations and practical applications of LSS in-depth,with an emphasis on anticipating future development trends.The goal is to provide readers with a comprehensive overview of LSS and offer insights for enterprises seeking to implement LSS for process improvement and innovation.

Six Sigma： The Panacea to Sustainability

Whilst there are a number of qualified methodologies, the researchers have opted to utilise the tools available through Six Sigma to prove that Six Sigma can be used to save resources and improve quality and process. Five industry sectors were identified as the ones to be surveyed using quantitative and qualitative methods and finally piloting the results on five different SMEs. Since this is a relative new methodology to the Cypriot entrepreneur and regrettably at the time of carrying out the study an international financial crisis caused a lot of financial problems to many respondents and as such could not see the immediate effects or benefits of Six Sigma and were reluctant to co-operate or participate. The Six Sigma methodology can be customized to industrial sectors and a tailored version of the methodology can be developed for a particular process or problem. The paper illustrates the problem areas identified from both the qualitative and quantitative research per industry. This is the first study carried out on Six Sigma in a small economy like Cyprus and tested on five industry sectors using both qualitative and quantitative methods

Leveraging Six Sigma Tools and Methodology to Improve Student English Language Performance at Elementary School

Purpose: The purpose of this paper is to discuss how the Six Sigma (SS) methodology can be used to improve the performance of students in English as a second language and enhance the teaching process by utilizing quality tools in an educational environment. Design/Methodology/Approach: The paper uses the different quality improvement tools within the Define, Measure, Analyze, Improve and Control (DMAIC) phases to improve student performance in an English language class at a private school. Findings: Quality tools, such as cause and effect diagrams and quality function deployment, have been successfully applied within the Six Sigma DMAIC framework in the educational sector to improve the performance of students and enhance the teaching process. Practical Implications: This paper helps school administrations to analyze student performance and implement improvement actions to improve their performance. Originality/Value: The principal objective of this paper is to demonstrate how quality improvement tools can be introduced and successfully applied in an elementary school to improve student performance and communication between the school administration, teachers and parents.

A Six Sigma Security Software Quality Management

Today, the demand for security software is Six Sigma quality, i.e. practically zero-defects. A practical and stochastic method is proposed for a Six Sigma security software quality management. Monte Carlo Simulation is used in a Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) approach to security software testing. This elaboration used a published real project’s data from the final product testing lasted for 15 weeks, after which the product was delivered. The experiment utilised the first 12 weeks’ data to allow the results verification on the actual data from the last three weeks. A hypothetical testing project was applied, supposed to be completed in 15 weeks. The product due-date was Week 16 with zero-defects quality assurance aim. The testing project was analysed at the end of the 12th week with three weeks of testing remaining. Running a Monte Carlo Simulation with data from the first 12 weeks produced results which indicated that the product would not be able to meet its due-date with the desired zero-defects quality. To quantify an improvement, another simulation was run to find when zero-defects would be achieved. Simulation predicted that zero-defects would be achieved in week 35 with 56% probability, and there would be 82 defects from Weeks 16 - 35. Therefore, to meet the quality goals, either more resources should be allocated to the project, or the deadline for the project should be moved to Week 36. The paper concluded that utilising Monte Carlo Simulations in a Six Sigma DMAIC structured framework is better than conventional approaches using static analysis methods. When the simulation results were compared to the actual data, it was found to be accurate within ﹣3.5% to +1.3%. This approach helps to improve software quality and achieve the zero-defects quality assurance goal, while assigning quality confidence levels to scheduled product releases.

The ISBSG Software Project Repository: An Analysis from Six Sigma Measurement Perspective for Software Defect Estimation

The International Software Benchmarking Standards Group (ISBSG) provides to researchers and practitioners a repository of software projects’ data that has been used to date mostly for benchmarking and project estimation purposes, but rarely for software defects analysis. Sigma, in statistics, measures how far a process deviates from its goal. Six Sigma focuses on reducing variations within processes, because such variations may lead to an inconsistency in achieving projects’ specifications which represent “defects”, which mean not meeting customers’ satisfaction. Six Sigma provides two methodologies to solve organizations’ problems: “Define-Measure-Analyze-Improve-Control” process cycle (DMAIC) and Design of Six Sigma (DFSS). The DMAIC focuses on improving the existed processes, while the DFSS focuses on redesigning the existing processes and developing new processes. This paper presents an approach to provide an analysis of ISBSG repository based on Six Sigma measurements. It investigates the use of the ISBSG data repository with some of the related Six Sigma measurement aspects, including Sigma defect measurement and software defect estimation. This study presents the dataset preparation consisting of two levels of data preparations, and then analyzed the quality-related data fields in the ISBSG MS-Excel data extract (Release 12 - 2013). It also presents an analysis of the extracted dataset of software projects. This study has found that the ISBSG MS-Excel data extract has a high ratio of missing data within the data fields of “Total Number of Defects” variable, which represents a serious challenge when the ISBSG dataset is being used for software defect estimation.

Combining Lean Concepts &Tools with the DMAIC Framework to Improve Processes and Reduce Waste

Six Sigma DMAIC methodology has been applied to systematically apply lean manufacturing concepts and tools in order to improve productivity in a local company specialized in the manufacturing of safety and fire resistance metal doors, windows, and frames. In-depth analysis of the plant processes unfolded different critical processes, specifically foam injection process and sheet metal cutting process. Throughout the different project phases, various improvements had been implemented to reduce production cycle time from 216 min to 161 min;non-value added activities in the different processes were identified and eliminated. Plant layout and machine reconfiguration reduced backtracking and unutilized space. Percentage of defective doors (needing rework) dropped from 100% to only 15%. The successful implementation of this project is largely due to top management active involvement and participation of workers and operators in all stages of the project. Finally, new policies and mentoring programs are introduced to maintain improvements.

DMAIC护理管理在造口失禁患者中的应用

目的探讨六西格玛管理流程重要工具(DMAIC)护理管理对造口失禁患者营养指标、免疫指标及并发症的影响。方法选取2022年4月—2023年2月收治的60例造口失禁患者作为研究对象,按照组间基本特征具有可比性的原则将其分对照组和观察组,各30例,对照组患者接受常规护理,观察组患者接受DMAIC护理管理,两组均持续干预1个月。比较两组患者并发症发生率、干预前后营养指标[前白蛋白(PA)、血红蛋白(HGB)、转铁蛋白(TRF)、白蛋白(ALB)]、免疫指标[免疫球蛋白、T淋巴细胞亚群]及护理满意程度。结果观察组患者并发症发生率低于对照组,差异具有统计学意义(P<0.05)。干预前,两组PA、HGB、TRF、ALB比较差异无统计学意义(P>0.05);干预后,观察组患者PA、HGB、TRF、ALB高于对照组,差异具有统计学意义(P<0.05)。干预前,两组CD4^(+)、CD4^(+)/CD8^(+)、IgG、IgA比较差异无统计学意义(P>0.05);干预后,观察组患者CD4^(+)、CD4^(+)/CD8^(+)、IgG、IgA高于对照组,差异具有统计学意义(P<0.05)。观察组患者护理满意程度优于对照组,差异具有统计学意义(P<0.05)。结论DMAIC护理管理应用于造口失禁患者中,可有效调节机体营养指标、免疫功能,降低并发症发生率,提高护理满意程度。

六西格玛DMAIC模型结合中医综合疗法在SAP患者SIRS管理方案中的应用研究

目的:探讨以全身炎性反应综合征(systemic inflammatory response syndrome,SIRS)为特征的重症急性胰腺炎(severe acute pancreatitis,SAP)患者应用六西格玛DMAIC模型结合中医综合疗法的临床价值。方法:以确诊为SAP的126例患者为研究对象,采用同期奇、偶数方法分为对照组和六西格玛组各63例,对照组采用西医常规治疗,六西格玛组在对照组基础上采用六西格玛DMAIC模型结合中医综合疗法的SIRS管理方案。观察两组患者血清C反应蛋白(C-reaction protein,CRP)、白细胞介素6(interleukin-6,IL-6)和降钙素原(procalcitonin,PCT)水平以及体温、心率、呼吸、白细胞水平与中医证候积分、临床疗效。结果:与对照组干预后比较,六西格玛组患者血清CRP、IL-6和PCT水平降低(P<0.05),患者体温、心率、呼吸、白细胞水平降低(P<0.05),中医证候(发热、口渴、腹痛、舌苔黄腻及总分)积分降低(P<0.05)。六西格玛组总疗效优于对照组(P<0.05)。结论:六西格玛DMAIC模型结合中医综合疗法能够有效抑制SAP患者炎症反应,改善中医证候,提高临床疗效。

基于DMAIC的X公司电芯压伤报废改善

电芯作为新能源汽车的动力来源,由于外包呈方形,材质为铝壳,具有硬度低,易变形的属性,在制造的过程中存在大量的搬运和堆叠动作,导致电芯受挤压、磕碰造成报废。文章利用DMAIC模型,针对X公司电芯生产后工序压伤电芯的情况分析原因,通过托盘底部贴铁氟龙胶带、胶框加装珍珠棉等方法进行快赢改善,再通过对转运托盘设计支撑块来进行专项改善,最终压伤电芯报废率从0.09%降低至0.01%,年度改善直接成本收益为158万元。

六西格玛DMAIC方法在本科教学质量评价与持续改进中的应用

在OBE理念下,高校亟须构建本科教学质量持续改进体系,实现教学质量管理目标,促进人才培养质量的螺旋式上升。文章分析六西格玛DMAIC方法在本科教学质量持续改进应用的必要性和可行性,在此基础上,构建基于DMAIC方法的本科教学质量持续改进体系。以C高校两个学年的学生评教数据为依据,开展基于DMAIC方法的教师课堂教学质量持续改进工作实证分析。分析结果表明,该方法可用于提升持续改进教师课堂教学质量。

基于6Sigma过程改进的缩短住院病人急诊生化检验报告时间研究

目的:缩短住院病人急诊生化检验报告时间。方法:运用6Sigma管理方法,对住院病人急诊生化检验报告时间较长的问题进行调查分析,找出导致时间长的关键原因,采取针对性措施进行过程改进。结果:住院病人急诊生化检验报告时间由88min缩短到43min,合格率由33.4%提高到91.1%,DPMO由666084ppm降低到88582ppm。结论:6Sigma方法的应用显著缩短了住院病人急诊生化检验报告时间,优化工作流程,提高工作效率,提升医院的社会和经济效益。

基于6SIGMA理论的建筑施工现场安全管理方法

为提高建筑施工企业的现场作业安全管理水平,针对建筑施工现场事故高发的特点,将6SIGMA管理理论应用于安全管理研究。以建筑施工高处坠落事故为研究对象。建立高处坠落事故DMAIC模型。从项目选题与定义、测量、分析、改进和控制5个环节,研究6SIGMA管理方法和建筑施工安全管理的融合。利用鱼刺图和故障类型影响分析,找出其关键影响因素。研究结果表明,作业时间与季节(X1),建筑安全法规体系(X2),脚手架相关技术要求(X3)及强风、浓雾、雨雪等天气情况(X4)是导致建筑施工高处坠落事故的4个关键影响因素。在此基础上,提出改进方案。

DMAIC管理模式在提升儿科专科护士培训教学质量中的应用

目的 :探索儿科专科护士培训模式和经验,以供其他专科护士培训借鉴。方法 :将六西格玛DMAIC管理模式运用于儿科专科护士培训班,并对培训的效果进行评价。结果 :儿科专科护士培训基地建立了基于DMAIC管理模式的培训模式,学员的核心能力、知识和技能等均得到显著提升。结论 :系统规范的DMAIC管理模式有利于提升儿科专科护士的教学质量,符合现代儿科护理发展趋势,应不断改进并优化培训流程,进一步提高儿科专科护士培训质量和教学效果。

基于6SIGMA理论的高校实验室安全管理

为提升高校实验室安全管理水平,该文分析了高校实验室各类事故特征,尝试将6SIGMA理论应用于高校实验室安全管理。按照界定、测量、分析、改善、控制5个过程,将高校实验室安全管理与6SIGMA管理模型相结合,以实验室火灾爆炸典型事故类型作为研究对象,建立相应的火灾爆炸事故DMAIC模型;运用故障类型影响分析法,找出实验室事故主要影响因素,进一步提出切实可行的高校实验室安全管理改进方案。

DMAIC流程在自动焊接质量改进中的应用

本文按照六西格玛DMIAC流程对A企业自动焊接质量进行改进.按照DMAIC流程对问题进行定义,明确改进目标。然后测定导致自动焊质量问题的可能原因,并对相关测量系统的能力进行评定和改进.在此基础上进一步分析导致质量问题的根本原因,并设计了一个2^((-2))试验方案,找出影响焊接缺陷的显著因素并进行优化,使得自动焊过程的缺陷水平降为DPHU低于0.05,超过了预期目标,成本节省显著。最后,为了保持改进成果,对过程建立了适当的在控制方法.

六西格玛DMAIC模型定义阶段的改进

为了解决六西格玛DMAIC模型定义阶段存在的弱点,采用了发明问题解决理论TRIZ和问题分析与决策理论Kepner-Tregoe的状况评估模式以探查定义问题过程中的创新机会和有效地识别"正确"的问题。建立了使用六西格玛DMAIC模型定义问题的新流程,改进了六西格玛定义阶段存在的弱点。用一个实例说明了应用新流程定义问题的过程和方法,并证明了新流程定义问题的有效性。