scholarly journals ANALISIS PENGENDALIAN KUALITAS LINE PRODUKSI BODY INNER K56 DENGAN TAHAPAN DMAIC DI PT.KMIL (KURNIA MUSTIKA INDAH LESTARI)

2020 ◽  
Vol 1 (2) ◽  
pp. 137-150
Author(s):  
Gunawan Ferdiansyah ◽  
Helena Sitorus
Keyword(s):  
Quality Control ◽  
Quality Improvement ◽  
Tolerance Limit ◽  
Limit Set ◽  
Root Cause ◽  
Spare Time ◽  
Rest Time ◽  
Research Findings ◽  
Dominant Root

One of the products of PT. Kurnia Mustika Indah Lestari is the inner body of K56. In one month the product rejects amounted to 2.0%, which exceeds the tolerance limit set by the company, namely 0.5%. It is necessary to carry out research aimed at determining the root of the dominant problem that causes rejection of the inner K56 body and determining the quality improvement proposal. The method used is quality control with the DMAIC stage. The results of the research findings show that the dominant root cause of reject burry is that work instructions are not carried out (Method) and working in a hurry to quickly rest (Human). The reject scratch type is due to lack of skill (Method) and pursuing a lot of rest time (Human). The recommendation to improve the quality of the reject burry is to carry out work instructions, be more careful when loading the material into the dies, always clean the inside of the dies, checkman supervises the manpower of the production process so that it works according to cycle time. For the reject scratch type, it is to provide training for man power, give warning instructions for the placement of parts while running the process, set rules for working times that are not too fast, take advantage of spare time to clean the machine. Keywords: Quality, Reject,  DMAIC (Define, Measure, Analyze, Improve, Control).

scholarly journals Quality Control in Production Processes

2016 ◽  
Vol 19 (3) ◽  
pp. 77-83 ◽  
Author(s):  
Miroslav Prístavka ◽  
Martina Kotorová ◽  
Radovan Savov
Keyword(s):  
Quality Control ◽  
Quality Improvement ◽  
Quality Management ◽  
Statistical Methods ◽  
Developed Countries ◽  
Basic Knowledge ◽  
Root Cause ◽  
Production Processes ◽  
Basic Quality ◽  
Quality Tools

AbstractThe tools for quality management are used for quality improvement throughout the whole Europe and developed countries. Simple statistics are considered one of the most basic methods. The goal was to apply the simple statistical methods to practice and to solve problems by using them. Selected methods are used for processing the list of internal discrepancies within the organization, and for identification of the root cause of the problem and its appropriate solution. Seven basic quality tools are simple graphical tools, but very effective in solving problems related to quality. They are called essential because they are suitable for people with at least basic knowledge in statistics; therefore, they can be used to solve the vast majority of problems.

Study on Internal Quality of Billets for 20CrMnTiH Steel

2014 ◽  
Vol 941-944 ◽  
pp. 132-137
Author(s):  
Hong Guang Li ◽  
Tian Ming Chen ◽  
Liang Chen ◽  
Jia Qi Wang ◽  
Wen Zhong Yang
Keyword(s):  
Quality Control ◽  
Quality Improvement ◽  
Casting Speed ◽  
Cooling System ◽  
Current Intensity ◽  
Internal Quality Control ◽  
Internal Quality ◽  
Secondary Cooling ◽  
Carbon Segregation

According to the requirement of 20CrMnTiH steel, the effects of casting peed, EMS current intensity and secondary cooling system on internal quality of billets are studied. The results show that, it is beneficial to internal quality control of 20CrMnTiH billets when the casting speed is in the range of 1.2~1.4m/min, and when the current intensity of EMS is 380A, the level of center porosity can be controlled in 1.0, the index of carbon segregation can be controlled in 1.08 and equiax crystal ratio reaches 34.9%. Furthermore, it is beneficial to internal quality improvement when weak secondary cooling system is adopted. With the application of the studies, the quality of billet macrostructure and hardenability can meet the requirement of 20CrMnTiH steel.

scholarly journals Kaizen a Tool for Continuous Quality Improvement in Indian Manufacturing Organization

2019 ◽  
Vol 4 (2) ◽  
pp. 452-459 ◽  
Author(s):  
Ravinder Kumar
Keyword(s):  
Quality Control ◽  
Point Of View ◽  
Automobile Manufacturing ◽  
Root Cause ◽  
Continuous Quality ◽  
Manufacturing Assembly ◽  
A New Technique ◽  
Manufacturing Organization ◽  
Case Organization

Kaizen is a practice of continuous improvements in manufacturing, assembly, quality and engineering. In this paper author have discussed the problems faced by a leading automobile manufacturing organization on quality of interior parts of the automobile like plastics and rubber. During study author used a new technique called “Global Customer Audit” which is basically a vehicle audit from final customer point of view for interior parts of automobiles. During this audit, author has observed various defects and by using different quality control tools like pareto charts, histograms, check sheets and arranged defects according to their intensity or magnitude of occurrence i.e. finding useful one from trivial many. In this paper, the author found the root cause of defects by using different quality control tools. Kaizen is done to remove these defects and continuously improve products and production processes. Kaizen helps in making manufacturing process leaner, simple and fitter. The main purpose of this paper is to discuss the concept of Kaizen, its application in case organization for solving problems raising big quality concerns on a day to day bases.

scholarly journals An empirical study of entrepreneurship education and teaching in Colleges and Universities under the concept of sustainable development

2021 ◽  
Vol 251 ◽  
pp. 02084
Author(s):  
He Jiang ◽  
Yonghui Cao
Keyword(s):  
Sustainable Development ◽  
Quality Control ◽  
Quality Improvement ◽  
Empirical Study ◽  
Quality Function Deployment ◽  
Implementation Process ◽  
Entrepreneurship Education ◽  
Teaching Quality ◽  
Quality Design

This paper applies the quality function deployment (QFD) theory to improve the teaching quality of entrepreneurship education, and puts forward the QFD model of entrepreneurship education teaching quality improvement. First of all, the paper constructs a series of quality houses by mining the customers’ demand for entrepreneurship education, including the quality house of teaching quality design, the quality house of teaching quality implementation and the quality house of teaching quality control. The entrepreneurship education customer demands are expanded to the specific steps of teaching process, and the establishment of entrepreneurship education teaching target and a series of implementation process, to improve the teaching quality of entrepreneurship education in local universities through the realization of these goals.

scholarly journals Ratio of the structure of hotel online booking channels and the monitoring of the quality of hotel websites in a multidimensional system

2021 ◽  
Vol 34 (2) ◽  
pp. 319-335
Author(s):  
Mislav Šimunić
Keyword(s):  
Quality Improvement ◽  
Positive Impact ◽  
Channel Structure ◽  
Multidimensional System ◽  
Website Quality ◽  
Research Findings ◽  
Online Business ◽  
The Republic ◽  
Hotel Websites

Purpose: The purpose of this paper is to explore the potentials that can positively impact the success of a hotel online business by: (1) exploring the specifics of the internal structure of online booking channels in the hotel business, (2) identifying the value and distribution of the potential to increase hotel bookings through the hotel website, (3) identifying the potential by exploring the space for improving hotel website excellence, and (4) developing an innovative multidimensional metric for monitoring hotel website quality. Methodology: This research was approached in a way that the issue is considered from two aspects. Firstly, the potential to improve the ratio value of the hotel online booking channel structure is observed. The survey in the Republic of Croatia was conducted by regions on a sample of 4* and 5* hotels. Secondly, the potential to improve a hotel business is considered as the possibility to improve the performance of a hotel website. Results: The research results show the value and distribution of the potential which can be used for a positive impact on the hotel business. Furthermore, the use of the presented multidimensional metric model allows a clear recognition of the potential for the hotel website quality improvement. Conclusion: It can be concluded that both aspects of the potential research (in addition to the research findings), open up numerous possibilities for conducting similar or more complex analytical procedures and a new empirical research.

scholarly journals Quality improvement primer part 1: Preparing for a quality improvement project in the emergency department

CJEM ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 104-111 ◽  
Author(s):  
Lucas B. Chartier ◽  
Amy H.Y. Cheng ◽  
Antonia S. Stang ◽  
Samuel Vaillancourt
Keyword(s):  
Quality Improvement ◽  
Professional Training ◽  
Problem Statement ◽  
Improvement Project ◽  
Team Members ◽  
Root Cause ◽  
Change Team ◽  
Patient Safety Incidents

ABSTRACTEmergency medicine (EM) providers work in a fast-paced and often hectic environment that has a high risk for patient safety incidents and gaps in the quality of care. These challenges have resulted in opportunities for frontline EM providers to play a role in quality improvement (QI) projects. QI has developed into a mature field with methodologies that can dramatically improve the odds of having a successful project with a sustainable impact. However, this expertise is not yet commonly taught during professional training. In this first of three articles meant as a QI primer for EM clinicians, we will introduce QI methodology and strategic planning using a fictional case study as an example. We will review how to identify a QI problem, define components of an effective problem statement, and identify stakeholders and core change team members. We will also describe three techniques used to perform root cause analyses—Ishikawa diagrams, Pareto charts and process mapping—and how they relate to preparing for a QI project. The next two papers in this series will focus on the execution of the QI project itself using rapid-cycle testing and on the evaluation and sustainability of QI projects.

scholarly journals Reproducibility of preclinical data: one man's poison is another man's meat

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Anton Bespalov ◽  
Christoph H Emmerich ◽  
Björn Gerlach ◽  
Martin C Michel
Keyword(s):  
Precision Medicine ◽  
Clinical Efficacy ◽  
Study Design ◽  
Experimental Models ◽  
Preclinical Research ◽  
Experimental Conditions ◽  
Preclinical Data ◽  
Root Cause ◽  
Research Findings

Limited reproducibility of preclinical data is increasingly discussed in the literature. Failure of drug devel-opment programs due to lack of clinical efficacy is also of growing concern. The two phenomena may share an important root cause — a lack of robustness in preclinical research. Such a lack of robustness can be a relevant cause of fail-ure in translating preclinical findings into clinical efficacy and hence attrition, and exaggerated cost in drug develop-ment. Apart from the study design and data analysis factors (e.g., insufficient sample sizes, failure to implement blind-ing, and randomization), heterogeneity among experimental models (e.g., animal strains) and the conditions of the study used between different laboratories is a major contributor to the lacking of robustness of research findings. The flipside of this coin is that the understanding of the causes of heterogeneity across experimental models may lead to the identification of relevant factors for defining the responder populations. Thus, this heterogeneity within preclinical find-ings could be an asset, rather than an obstacle, for precision medicine. To enable this paradigm shift, several steps need to be taken to identify conditions under which drugs do not work. An improved granularity in the reporting of preclini-cal studies is central among them (i.e., details about the study design, experimental conditions, quality of tools and rea-gents, validation of assay conditions, etc.). These actions need to be discussed jointly by the research communities in-terested in preclinical data robustness and precision medicine. Thus, we propose that a lack of robustness due to the heterogeneity across models and conditions of the study is not necessarily a liability for biomedical research but can be transformed into an asset of precision medicine.

Are we using the right tools to manage variation, errors and omissions?

2020 ◽  
Vol 32 (2) ◽  
pp. 156-159 ◽  
Author(s):  
Dinesh K Arya
Keyword(s):  
Health Care ◽  
Quality Improvement ◽  
Quality Of Care ◽  
Wide Spread ◽  
Cause Analysis ◽  
Root Cause ◽  
Inherent Risk ◽  
Health Care Consumer ◽  
The Right

Abstract In all processes, there is an inherent risk of variability to occur. In the process of delivering healthcare, variability can occur as a result of an error or omission and compromise the quality of care or affect the safety of the health care consumer. Even though incident reporting, root cause analysis, use of checklists and other quality improvement methods are in wide-spread use, we may not be using these tools appropriately and therefore we are losing an opportunity to improve the quality of care.

scholarly journals Application of statistical methods in the analysis of nonconformities of nonconforming products in the production process

2021 ◽  
pp. 40-45
Author(s):  
N. V. Girilovich ◽  
G. V. Dovgopolaya
Keyword(s):  
Quality Control ◽  
Control System ◽  
Statistical Analysis ◽  
Production Process ◽  
Product Quality ◽  
Effective Control ◽  
Product Quality Control ◽  
Root Cause ◽  
Quality Of Products

Quality is the degree to which the totality of an object’s inherent characteristics meets the requirements. The product quality control system is a set of interrelated objects and subjects of control, the types, methods and means used to assess the quality of products. An effective control system allows you to make a timely impact on the level of product quality, prevent possible inconsistencies, and ensure their prompt detection at the lowest cost. One of the progressive methods in modern management is the statistical method.The article considers the program element for quality control in OJSC “BSW – Management Company of the Holding “BMC”. This program element is aimed at working with all types of nonconforming products of the enterprise, at finding the root cause and statistical analysis for these reasons.

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