Applying surrogate variables to deal with destructive characteristics for robustification using Six Sigma methodology

<p>Even though there are remarkable advances in machinery and technological methodologies toward products robustness and precise operations on processes, engineers always address difficulties in setting a process at desirable conditions. Actually, due to the nature of the destructive characteristics of products and processes they might not be able to cope with the issue. Aforementioned traits create constraints against direct measurement. Consequently, surrogate variables are proposed to go through the obstacle. Since sources of deviations are easy to affect as noise factors, experts are required to ameliorate skillfully. Multiple quality characteristics are contemplated simultaneously in different industries such as pharmaceutical, food sections or productions for improving both product reliability and customer satisfaction. In order to overcome the expressed problems and facilitate the processes, a model is constructed through robust design concepts and a case study shows how to surmount the problem of working with different destructive quality characteristics at the same time by using Six Sigma methodology.</p>

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Six-Sigma Challenges in Services With Human-Based Data: An Investigative Case Study for Clients’ Satisfaction in Gas Company

Volume 13: Safety Engineering, Risk, and Reliability Analysis ◽

10.1115/imece2019-10344 ◽

2019 ◽

Author(s):

Mohammad Pourgol-Mohamad

Keyword(s):

Customer Satisfaction ◽

Six Sigma ◽

Business Processes ◽

Industrial Sector ◽

Human Data ◽

Industrial Sectors ◽

Data Limitations ◽

Six Sigma Methodology ◽

The Impact

Abstract Improvement of business processes, increasing customer satisfaction, and reducing organizational costs are important issues that institutions deal with. In this context, six sigma methodology has been considered as a systematic approach to achieve these goals by many organizations. In recent years, non-industrial sectors, where human data are involved, have also applied this technique to improve their processes quality. For application of six sigma procedure for non-industrial issues, there are several challenges that are not encountered in the conventional implementation of Six Sigma procedure. Most of these challenges are experienced on gathering the human (operators, experts) expressed data required for the six sigma projects on the phase of measurement and analysis. The challenges identification and analysis give the ability to address them and provide practical solutions. In this study, in addition to different stages of the Six Sigma methodology, its implementation has been investigated in the non-industrial sector in the DMAIC phases. The challenges dealt with in this research include the impact of external factors on human data, limitations in the design of experiments for human data, qualitative data and discrete data as well as one-sided data. Also, considering a case study on the implementation of six sigma methodology to enhance customer satisfaction in an East Azerbaijan Gas company, strategies are presented for overcoming these obstacles.

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Application of Lean Six Sigma Methodology and Queueing Theory to Minimize Systemic Variability: A Case Study from Public Services

2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) ◽

10.1109/ieem45057.2020.9309995 ◽

2020 ◽

Author(s):

F. P. Santhiapillai ◽

R. M. Chandima Ratnayake

Keyword(s):

Six Sigma ◽

Queueing Theory ◽

Public Services ◽

Lean Six Sigma ◽

Six Sigma Methodology

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.622-623.472 ◽

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.

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