scholarly journals Reduction in Rejection Rate of Soy Sauce Packaging via Six Sigma

2021 ◽  
Vol 22 (1) ◽  
pp. 57-70
Author(s):  
Ronald Sukwadi ◽  
Leonardus Harijanto ◽  
M.M. Wahyuni Inderawati ◽  
Po Tsang B. Huang
Keyword(s):  
Quality Improvement ◽  
Six Sigma ◽  
Rejection Rate ◽  
Soy Sauce ◽  
Control Plan ◽  
Maintenance Schedule ◽  
Sigma Level ◽  
Fishbone Diagram ◽  
Cutting Error ◽  
Six Sigma Methodology

The Six Sigma methodology is the most powerful quality improvement technique. This research deals with applying the Six Sigma methodology in reducing the rejection rate of soy sauce packaging in food production. The DMAIC methodology of Six Sigma provides a step-by-step quality improvement methodology in which statistical techniques are applied. The leakage and cutting error problems were identified in the Define phase. The extent of the problem was measured in the Measure phase. The current DPMO value was 5,794.39, or sigma level at 4.0245. The root cause of the problem and the improvement priority were identified in the Analyze phase by applying the fishbone diagram and FMEA. The design of new Standard Operating Procedures (SOPs) and preventive maintenance schedule were used in the Improve phase to increase the sigma level by 50-60 percent and decrease DPMO by 99 percent for the upcoming four months implementation. Furthermore, a control plan was provided in the Control phase to monitor and sustain the achieved improvements.

Modern methods of the quality improvement and their application in managing of changes in a company

2018 ◽  
Vol 4 (10) ◽  
pp. 64-72
Author(s):  
Pavol Gejdos
Keyword(s):  
Quality Improvement ◽  
Six Sigma ◽  
Business Processes ◽  
Relevant Information ◽  
Correct Choice ◽  
Sigma Level ◽  
Continuous Quality ◽  
Modern Methods ◽  
Six Sigma Methodology ◽  
A Company

This article deals about the application of the Six Sigma methodology by using modern methods in various stages of the DMAIC improvement model. The change management of business processes in terms of quality is determined by the correct choice of methods and tools for reducing discrepancies and non-productive costs. The evaluation of selected processes of furniture production through defects per million opportunities, efficiency, capability and sigma level before the change and after the change in the quality process provides relevant information for ensuring continuous quality improvement. Implementation of assessing changes in the process is a source of information for continuous improvement of process performance. Keywords: Processes, quality improvement, Six Sigma, DMAIC, changes in processes.

Measure and Analyze the Problems of Concrete Mixture Production via Six Sigma DMAIC Tools: Central Concrete Mix Plant as a Case Study

2012 ◽  
Vol 622-623 ◽  
pp. 472-477
Author(s):  
Ali A. Karakhan ◽  
Angham E. Alsaffar
Keyword(s):  
Six Sigma ◽  
Business Strategy ◽  
Concrete Mixture ◽  
Statistical Tools ◽  
Sigma Level ◽  
Defect Rate ◽  
Concrete Production ◽  
Concrete Mix ◽  
Six Sigma Methodology

The aims of this study are to measure the defect rate and analyze the problems of production of ready concrete mixture plant by using Six Sigma methodology which is a business strategy for operations improvement depending basically on the application of its sub-methodology DMAIC improvement cycle and the basic statistical tools where the process sigma level of concrete production in the case study was 2.41 σ.

scholarly journals QUALITY IMPROVEMENT ON CERAMIC TILES PROUCTION PROCESS WITH SIX SIGMA METHOD (DMAIC) AT PT ARWANA CITRAMULIA

2018 ◽  
Vol 3 (2) ◽  
pp. 101
Author(s):  
Priskila Christine Rahayu ◽  
Vanesa Darvin
Keyword(s):  
Quality Improvement ◽  
Production Process ◽  
Six Sigma ◽  
Ceramic Tiles ◽  
Control Approach ◽  
Sigma Level ◽  
And Control

This study focused on quality improvement on ceramic tiles production process at PT Arwana Citramulia. This study used data defects for 12 months (May 2016 – April 2017) and only focus on one type of defect and it is chop corner. Six sigma with DMAIC (define, measure, analyze, improve, and control) approach was used to improve the process. Each step of DMAIC was conducted to carefully analyze and keep the process precisely. The ceramic tiles production process contains a number of 4375 products defects in million opportunities (DPMO), with sigma level of 4.13. In the improve step of DMAIC, FMEA form was used to propose some recommendations in order to improve the process, some of that that are provision of lubricant periodically by the operator, polishing on the surface of the liner to clean and clear, examination and maintenance periodically. Keyword : Quality, Six Sigma, DMAIC, Defects.

Applying quality improvement methodologies to decrease the time-to-activation of new clinical trials at an NCI-designated comprehensive cancer center.

2019 ◽  
Vol 37 (27_suppl) ◽  
pp. 296-296
Author(s):  
Timothy J Brown ◽  
Erin Fenske Williams ◽  
Patrice Griffith ◽  
Asal Shoushtari Rahimi ◽  
Rhonda Oilepo ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Quality Improvement ◽  
Six Sigma ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Process Map ◽  
Decision Points ◽  
Improvement Methodologies ◽  
Six Sigma Methodology ◽  
Pass Through

296 Background: Initiating a new clinical trial is burdensome and complex. The time to activate a clinical trial can directly affect the ability to provide innovative, state-of-the-art care to patients. We sought to understand the process of activating an oncology clinical trial at a matrix National Cancer Institute-designated, comprehensive cancer center. Methods: A multidisciplinary team of stakeholders within the cancer center, university, and affiliate hospitals held a retreat to map out the process of activating a clinical trial from packet receipt to enrollment of the first patient. We applied classical QI and Six Sigma methodology to determine bottlenecks and redundancies in activating a clinical trial. During this process, particular attention was paid to time to pass through each step and perceived barriers and bottlenecks were identified through group discussions. The time to activation was measured from the day the trial packet was received until the time when the trial was open for enrollment. Results: The process map identified 66 steps with 12 decision points to activate a new clinical trial. The following two steps were instituted first: 1) allow parallel scientific committee and institutional review board (IRB) review and 2) allow the clinical research coordination committee to review protocols for feasibility and university interest separate from the IRB approval process. These changes resulted in a mean time-to-activation change from 194 days at baseline to 135 days after these changes were implemented. The committee continues to track the activation time and this frame work is used to identify additional improvement steps. Conclusions: By applying quality improvement methodologies and Six Sigma principles, we were able to redesign redundant aspects of the process of activating a clinical trial at a matrix comprehensive cancer center. This was associated with a reduction of time to activation of trials. More importantly, the process map provides a framework to maintain these gains and implement further changes.

Reduction of Rejection Rate for High Gloss Plastics Product Using Six Sigma Method

2014 ◽  
Vol 606 ◽  
pp. 141-145
Author(s):  
Che Ku Abdullah Che Ku Kairulazam ◽  
M.I. Hussain ◽  
Zuraidah Mohd Zain ◽  
Nabilah A. Lutpi
Keyword(s):  
Injection Molding ◽  
Six Sigma ◽  
Rejection Rate ◽  
Injection Molding Process ◽  
Molding Process ◽  
Sigma Level ◽  
Potential Factors ◽  
High Rejection Rate ◽  
And Control ◽  
Plastic Injection

High gloss plastics part in injection molding industries were widely used in Malaysia. However the high rejection rate in this industries were major problem affecting the economic aspects. Therefore this paper presents an approach of implementing six sigma method to reduce the rejection rate in a plastic injection molding process for high gloss plastics part. Define, Measure, Analyze Improve and Control (DMAIC) methodology was applied as basis of the study. By using current process, the average of rejection is 40.6% and the aim of this study is to reduce the rejection rate to less than 10 % . All potential factors were taken into account to identify the significant factors. The improvement process was made base on the analysis output. This study was successful with increment in sigma level from 1.74 σ to 3.00 σ. .

A DMAIC Six Sigma approach to quality improvement in the anodising stage of the amplifier production process

2018 ◽  
Vol 35 (9) ◽  
pp. 1868-1880 ◽  
Author(s):  
Pallavi Sharma ◽  
Suresh Chander Malik ◽  
Anshu Gupta ◽  
P.C. Jha
Keyword(s):  
Quality Improvement ◽  
Production Process ◽  
Six Sigma ◽  
Shop Floor ◽  
Manufacturing Firm ◽  
Content Type ◽  
Root Cause ◽  
Six Sigma Methodology ◽  
Six Sigma Approach ◽  
Current Reality

Purpose The purpose of this paper is to study the anodising process of a portable amplifier production process to identify and eliminate the sources of variations, in order to improve the process productivity. Design/methodology/approach The study employs the define-measure-analyse-improve-control (DMAIC) Six Sigma methodology. Within the DMAIC framework various tools of quality management such as SIPOC analysis, cause and effect diagram, current reality tree, etc., are used in different stages. Findings High rejection rate was found to be the main problem leading to lower productivity of the process. Four types of defects were identified as main cause of rejections in the baseline process. Pareto analysis resulted in detection of the top defects, which were then analysed in details to find the root cause of the problem. Further study resulted in finding improvement measures that were discussed with the management before implementation. The process is sampled again to check the improvements, and control measures were established. Practical implications The study provides a framework for implementation of DMAIC Six Sigma methodology for a manufacturing firm. The results presented are based on the data collected from the shop floor. Results and findings of the study were implemented for quality improvement of the process. Originality/value The study is based on an original research conducted with the objective of quality improvement in the anodising process of the production process. Besides presenting an approach to DMAIC Six Sigma methodology, an application of the current reality tree tool for root cause analysis is presented, a tool used limitedly in the Six Sigma studies. The tool finds its uniqueness in its ability to address problems relating multiple factors than isolated factors.

scholarly journals ANALISIS PERBAIKAN KUALITAS INJECTION PART DENGAN PENDEKATAN LEAN SIX SIGMA

2020 ◽  
Vol 1 (01) ◽  
pp. 79-90
Author(s):  
Miftakul Huda
Keyword(s):  
Injection Molding ◽  
Six Sigma ◽  
Rejection Rate ◽  
Lean Six Sigma ◽  
Factorial Experiment ◽  
Full Factorial Experiment ◽  
Yield Rate ◽  
Sigma Level ◽  
And Control ◽  
Full Factorial

Lean Six Sigma is a collective approach, which uses various techniques and tools for quality improvement. Here, Lean Six Sigma methodology was applied to a small injection molding unit (which can be taken as representative of small and medium-size industries) manufacturing casing of electronics part. The DMAIC (Define, Measure, Analyze, Improve and Control) approach of Lean Six Sigma was applied to reduce the rejection rate of the casing (child part of an electronic product) by changing setting parameters: mold temperature, injection pressure and injection speed in the injection mold process. The statistical techniques such as DOE full factorial experiment, and process capability analysis were done to finding the process capability before and after the Lean Six Sigma implementation. After implementing the Lean Six Sigma DMAIC approach it was found that injection molding firms can increase their profit by increase yield rate and deleting rejection rate of casing part. Lean Six Sigma implementation increase the process sigma level from 4,3σ to 4,7σ by a reduction in casing flow mark variation and transparency. This increase in sigma level will give defect cost reduction to the industry which is a good figure for such an industry.  Abstrak Lean Six Sigma adalah pendekatan kolektif, yang menggunakan berbagai teknik dan alat untuk peningkatan kualitas. Di sini, metodologi Lean Six Sigma diterapkan pada unit injection molding kecil (yang dapat dianggap mewakili industri ukuran kecil dan menengah) manufaktur casing part. Pendekatan DMAIC (Define, Measure, Analyze, Improve and Control) Lean Six Sigma diterapkan untuk mengurangi tingkat penolakan casing part (bagian anak dari produk elektronik) dengan mengubah tiga setting parameter: suhu mold, tekanan dan kecepatan injection dalam proses cetakan injeksi. Teknik statistik seperti DOE full factorial experiment,dan  analisis kemampuan proses dilakukan untuk menemukan kemampuan proses sebelum dan sesudah implementasi Lean Six Sigma. Setelah menerapkan pendekatan Lean Six Sigma DMAIC ditemukan bahwa perusahaan injection molding dapat meningkatkan keuntungannya dengan menaikan yield rate dengan mengendalikan tingkat penolakan casing part. Implementasi Lean Six Sigma meningkatkan tingkat sigma proses dari 4,3σ menjadi 4,8σ dengan mengurangi variasi flow mark dan transperancy. Kenaikan tingkat sigma ini akan memberikan pengurangan biaya akibat cacat ke industri yang merupakan contoh yang baik untuk industri semacam ini.                                                                                                                                                

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