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.

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.

SIX SIGMA OPTIMIZATION IN SHEET METAL FORMING BASED ON DUAL RESPONSE SURFACE MODEL

Iterations in optimization and numerical simulation for the sheet metal forming process may lead to extensive computation. In addition, uncertainties in materials or processing parameters may have great influence on the design quality. A six sigma optimization method is proposed, by combining the dual response surface method （DRSM） and six sigma philosophy, to save computation cost and improve reliability and robustness of parts. Using this method, statistical technology, including the design of experiment and analysis of variance, approximate model and six sigma philosophy are integrated together to achieve improved quality. Two sheet metal forming processes are provided as examples to illustrate the proposed method.

Six Sigma Robust Optimization of Fatigue Life for the Passenger Car Battery Hanging Device

In engineering practice, influencing factors including material properties,external load,dimension error and so on,are uncertain to structural fatigue life,and those uncertain factors make the structure fatigue life have a wide dispersion. Aiming at this problem,the parametric model is built in this paper,and it is used to obtain the structural first principal stress in the module of probabilistic design system( PDS). Parameters of P-S-N are added to the parametric model,and then,the fatigue life of chosen points has been calculated automatically under the reliability of 0. 99. The fatigue life response surface model is obtained by simulation of the sampling points using Monte Carlo method. The six sigma robust optimization mathematical model of fatigue life is established with the combination of six sigma robust optimization and fatigue life response surface model. Take a railway passenger car battery hanging device as an example, and the mathematical model of optimization is established. The minimum mean and mean squared of structural fatigue life are obtained under the requirements of design fatigue life. The results show that the material has been saved by the new method,and the robustness of the fatigue life has been improved.

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.

Development of six sigma concurrent parameter and tolerance design method based on response surface methodology

Using Response Surface Methodology (RSM), an optimizing model of concurrent parameter and tolerance design is proposed where response mean equals its target in the target being best. The optimizing function of the model is the sum of quality loss and tolerance cost subjecting to the variance confidence region of which six sigma capability can be assured. An example is illustrated in order to compare the differences between the developed model and the parameter design with minimum variance. The results show that the proposed method not only achieves robustness, but also greatly reduces cost. The objectives of high quality and low cost of product and process can be achieved simultaneously by the application of six sigma concurrent parameter and tolerance design.

Structural Multi-objective Probabilistic Design for Six Sigma

Uncertainties in engineering design may lead to low reliable solutions that also exhibit high sensitivity to uncontrollable variations. In addition, there often exist several conflicting objectives and constraints in various design environments. In order to obtain solutions that are not only "multi-objectively" optimal, but also reliable and robust, a probabilistic optimization method was presented by integrating six sigma philosophy and multi-objective genetic algorithm. With this method, multi-objective genetic algorithm was adopted to obtain the global Pareto solutions, and six sigma method was used to improve the reliability and robustness of those optimal solutions. Two engineering design problems were provided as examples to illustrate the proposed method.

An Adaptive Design for Six Sigma(ADFSS): a Simulated Annealing and Regression Analysis Embedded Approach

Design for six sigma （DFSS） is a powerful approach of designing products, processes, and services with the objective of meeting the needs of customers in a cost-effective maimer. DFSS activities are classified into four major phases viz. identify, design, optimize, and validate （IDOV）. And an adaptive design for six sigma （ADFSS） incorporating the traits of artifidai intelligence and statistical techniques is presented. In the identify phase of the ADFSS, fuzzy relation measures between customer attributes （CAs） and engineering characteristics （ECs） as well as fuzzy correlation measures among ECs are determined with the aid of two fuzzy logic controllers （FLCs）. These two measures are then used to establish the cumulative impact factor for ECs. In the next phase （ i. e. design phase）, a transfer function is developed with the aid of robust multiple nonlinear regression analysis. Furthermore, 1this transfer function is optimized with the simulated annealing （ SA ） algorithm in the optimize phase. In the validate phase, t-test is conducted for the validation of the design resulted in earlier phase. Finally, a case study of a hypothetical writing instrument is simulated to test the efficacy of the proposed ADFSS.

The Six Sigma Approach to Solid Waste Management and Minimization： Moving towards Zero Landfill Facilities

This article provides an overview of an eleven step solid waste analysis and minimization process that is based on the six sigma approach to problem solving that may be applied at a wide variety of organizations. The six sigma approach provides a holistic process that focuses on minimizing defects, in this case, eliminating waste disposed at landfills. As many organizations are moving towards ＂zero landfill＂ facilities, such a process is needed to aid in achieving these goals. The eleven step processes provides details on establishing goals, creating process flowcharts, conducting waste sorts, data collection, establishing baseline data, identifying improvement opportunities, cost justification, executing improvement plans and validating results. The article also includes a case study that applies that eleven step process. The goal of the article is to provide the audience with a structured process to evaluate and minimize solid waste generation based on cost justified improvement opportunities.

Six Sigma in Service Organizations

Six sigma was developed as a managing tool for the manufacturing industry to eliminate defects. However, it has received considerable attention over the last five years in service organizations. The paper will point out the advantages of implementing six sigma in service organizations through case study analysis. Benefits and challenges of implementing six sigma in service organizations are indicated.

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.

Implementation of Six Sigma Projects in Fortune 500 Companies

Six Sigma was introduced as a quality management tool at Motorola in the 1980s. Since then, leading U.S. companies have gained significant financial and non-financial benefits/results from the implementation of Six Sigma projects. Despite Six Sigma popularity, some companies have failed to gain quantifiable net financial benefits/results from Six Sigma implementation. In the process of Six Sigma implementation, vital components are critical factors and key ingredients for the success of Six Sigma projects because if these vital components do not exist, Six Sigma projects have little chance of success. Thus, this paper identifies most influencing and least influencing vital components. The results are generated from a survey conducted in U.S. Fortune 500 companies employing descriptive statistics. Based on the data analysis, ＂leadership commitment to Six Sigma＂ was the most influencing vital component and ＂overall, training on Six Sigma to reduce employee turnover＂ was the least influencing vital component.

Optimization of Steel Bar Manufacturing Process Using Six Sigma

Optimization of a manufacturing process results in higher productivity and reduced wastes. Production parameters of a local steel bar manufacturing industry of Pakistan is optimized by using six Sigma-Define, measure, analyze, improve, and controlmethodology. Production data is collected and analyzed. After analysis, experimental design result is used to identify significant factors affecting process performance. The significant factors are controlled to optimized level using two-level factorial design method. A regression model is developed that helps in the estimation of response under multi variable input values. Model is tested, verified, and validated by using industrial data collected at a local steel bar manufacturing industry of Peshawar（Khyber Pakhtunkhwa, Pakistan）. The sigma level of the manufacturing process is improved to 4.01 from 3.58. The novelty of the research is the identification of the significant factors along with the optimum levels that affects the process yield, and the methodology to optimize the steel bar manufacturing process.

Inconsistency Quality Products （on Six Sigma Programs） Effect on Customer Loyality： Case Study of Industry ＂Tahu＂

Product ＂Tahu＂ is a traditional food of Sumedang city in Indonesia, and becomes an icon of the city. This study aims to see how consistent the quality of the products developed by small and medium-sized enterprises （SMEs） in the prosess six sigma program compliance effect on customer loyalty. The method used in this paper is descriptive exploratory. Based on a sample of 30 SMEs and 143 end-consumers, it showed that inconsistency in the quality common among SMEs with small production capacity size that gives discomfort to the consumer. Inconsistency in the quality values at each of SMEs which are distinguished by the production capacity is 3.301 or unclassified often inconsistent on a small scale SMEs, 3.460 or unclassified SMEs are often inconsistent in size and capacity being 4.227 or inconsistent unclassified rare or likely to be consistent on SMEs the size of the production capacity. Based on calculations using simple regression, suggest that the effect of dimensional consistency of product quality to customer loyalty is at 34%, while the balance of 66% is influenced by other variables such as promotion, competition level, location of the company etc.. It is recommended for further research is to be able to analyze the causes of the high product quality inconsistencies SMEs.

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.

起重机吊钩的SIX SIGMA优化设计

依据某矿用起重机吊钩实际模型,以ANSYS为工作平台,绘制吊钩三维模型,并对模型进行倒角、圆整处理。结合力学相关知识,对吊钩进行受力分析,找出吊钩的危险截面,对模型进行有限元分析,得出最小安全因子。考虑到人为误差会在一定程度上影响到吊钩的结构性能,使用6sigma参数化模块来评价设计,验证设计的合理性,找出影响结构的参数,使用响应面优化对模型尺寸进行优化,找出最优模型。

Six Sigma管理法在医院管理控制中的应用研究

六西格玛(Six Sigma)管理法是质量管理中的一种方法,在社会的各个领域中广泛应用,并取得了显著效果。我国医院在管理过程中还存在着较多问题,致使医院管理工作不能顺利实施,对医院的发展带来不利影响。Six Sigma管理法在医院管理控制中的应用,能够促使医院管理水平的提高。通过对Six Sigma管理法含义与医院管理现状的分析,对Six Sigma管理法在医院管理控制中的应用进行阐述。

Development of a Six Sigma Infrastructure for Trabeculectomy Process

The aim of this article is to show how an eye clinic of a Turkish public hospital initiated Six Sigma principles to reduce the number of complications encountered during and after trabeculectomy surgeries. Data were collected for ten years. To analyse the process, main tools of Six Sigma’s Define-Measure-Analyze-Improve-Control (DMAIC) improvement cycle such as SIPOC Table, Failure, Mode and Effect Analysis were implemented. Sources and root causes of ten types of complications were identified and reported. Patient’s eye anatomy, experience of ophthalmic surgeon, quality of surgical equipment, quality and type of suture, and experience of staff were identified to be Critical-to-Quality (CTQ) factors for a successful surgery. The most frequently occurring complication was found to be hypotony. The process sigma level of the process was measured to be 3.1391. The surgical team concluded that ten complications (out of twelve) should be significantly reduced by taking the necessary preventative measures.

Elimination of Post-Operative Complications in Penetrating Keratoplasty by Deploying Six Sigma

This paper shows how a public eye and research hospital in Turkey initiated Six Sigma principles to reduce the number of complications occurring after penetrating keratoplasty surgeries. Data were collected for nine years. To analyse the complications among 55 patients (59 eyes) underwent penetrative keratoplasty, main tools of Six Sigma’s Define-Measure-Analyze-Improve-Control (DMAIC) improvement cycle such as SIPOC table and Failure, Mode and Effect Analysis (FMEA) were implemented. Sources and root causes of eleven types of complications were identified and reported. For a successful penetrating keratoplasty surgery patient’s anatomy, suitability of donor cornea, experience of ophthalmic surgeon, sterilization and hygiene, and performance of the equipment were determined to be the “critical-to-quality” factors. The complication with the highest hazard score was found to be the glaucoma. The process sigma level of the process was measured to be 3.1418. The surgical team concluded that all types of post-operative complications should be significantly reduced by taking the necessary preventive measures.