2016
DOI: 10.1108/ci-01-2015-0003
|View full text |Cite
|
Sign up to set email alerts
|

Six Sigma improvement project in a concrete block plant

Abstract: Purpose This paper aims to describe the application of several Six Sigma tools to explain the improvement changes needed in a company that manufactures concrete blocks. The paper explains the methodology and the tools of the Six Sigma system, their use in the project, the application of the DMAIC (Define, Measure, Analyse, Improve and Control) process for the identification and definition of the problems, the related performance variables and the results obtained. Design/methodology/approach The paper report… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2019
2019
2025
2025

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 8 publications
(3 citation statements)
references
References 30 publications
(29 reference statements)
0
3
0
Order By: Relevance
“…Assessing the readiness of the organization (company maturity level) using Six Sigma implementation Kumar et al (2017), India [41] process industry (thermal power plant) Identification of capacity waste Choi et al (2011), Korea [42] electronic industry Sig Sigma based management in improving competitiveness John & Areshankar (2018), India [43] automotive industry Focus on reducing the bearing end plate reworks due to variation in thickness & diameter Chabukswar et al (2011), India [44] pharmaceutical industry Improvement of process capability from sigma level 1.5 to 4, and reduce defect to 50% Zasadzień (2017), Poland [45] pipe industry Presents an implementation of Six Sigma in production processes connected with maintenance Jaffal et al (2017), Turkey [15] carpet industry Determining key success factor & investigating obstacles in implementing Six Sigma Indrawati & Ridwansyah (2015), Indonesia [46] mining industry Improving the process capability of Iron ores manufacturing Barbosa et al (2017), Portugal [47] automotive industry Improving performance & product quality rate in bead APEX production process Morales et al (2016), Mexico [48] concrete blocks industry Eliminating machine downtime & reduction of scrap from 18 to 2 percent Zhan (2008), USA [49] electrical industry Identification & deduction of variation in the average motor speed Gajbhiye et al (2016), India [50] casting industry Reduction in the number of accidents in the manufacturing industry using Lean Six Sigma Chang& Wang (2007), China [9] various industry Collaborative planning, of Six Sigma with forecasting & replenishment (CPFR) can decrease variances Chang et al (2012), China [5] chip industry Simulating Six Sigma to improve performance of production planning procedure Rahman&Talapatra (2015), Bangladesh [51] casting industry Defect reduction in the casting process Srinivasan et al (2016), USA [7] furnace industry Increasing sigma level from 3.31 to 3.67 in the case of drilling a hole in a 'furnace nozzle' component Khawale et al (2017), India [14] automotive industry Defect reduction of piston rod & increased productivity Purnama et al (2019), Indonesia [18] manufacturing industry Improvement by DMAIC in implementation of ISO 14001 El Hassani et al (2017), Morocco…”
Section: Six Sigma In the Manufacturing Industrymentioning
confidence: 99%
“…Assessing the readiness of the organization (company maturity level) using Six Sigma implementation Kumar et al (2017), India [41] process industry (thermal power plant) Identification of capacity waste Choi et al (2011), Korea [42] electronic industry Sig Sigma based management in improving competitiveness John & Areshankar (2018), India [43] automotive industry Focus on reducing the bearing end plate reworks due to variation in thickness & diameter Chabukswar et al (2011), India [44] pharmaceutical industry Improvement of process capability from sigma level 1.5 to 4, and reduce defect to 50% Zasadzień (2017), Poland [45] pipe industry Presents an implementation of Six Sigma in production processes connected with maintenance Jaffal et al (2017), Turkey [15] carpet industry Determining key success factor & investigating obstacles in implementing Six Sigma Indrawati & Ridwansyah (2015), Indonesia [46] mining industry Improving the process capability of Iron ores manufacturing Barbosa et al (2017), Portugal [47] automotive industry Improving performance & product quality rate in bead APEX production process Morales et al (2016), Mexico [48] concrete blocks industry Eliminating machine downtime & reduction of scrap from 18 to 2 percent Zhan (2008), USA [49] electrical industry Identification & deduction of variation in the average motor speed Gajbhiye et al (2016), India [50] casting industry Reduction in the number of accidents in the manufacturing industry using Lean Six Sigma Chang& Wang (2007), China [9] various industry Collaborative planning, of Six Sigma with forecasting & replenishment (CPFR) can decrease variances Chang et al (2012), China [5] chip industry Simulating Six Sigma to improve performance of production planning procedure Rahman&Talapatra (2015), Bangladesh [51] casting industry Defect reduction in the casting process Srinivasan et al (2016), USA [7] furnace industry Increasing sigma level from 3.31 to 3.67 in the case of drilling a hole in a 'furnace nozzle' component Khawale et al (2017), India [14] automotive industry Defect reduction of piston rod & increased productivity Purnama et al (2019), Indonesia [18] manufacturing industry Improvement by DMAIC in implementation of ISO 14001 El Hassani et al (2017), Morocco…”
Section: Six Sigma In the Manufacturing Industrymentioning
confidence: 99%
“…In their study, they demonstrate the application of SS as feasible and how it produces attractive financial and operational results in this segment of the construction industry. As main result, they obtained the increase in customer service through the rapid delivery of complete orders [47].…”
Section: Servicesmentioning
confidence: 99%
“…Six Sigma is implemented in a methodical manner using the "five-stage DMAIC approach (Define-Measure-Analyze-Improve-and-Control)" [6]. Several academics have utilized this technique in their studies to enhance operations such as concrete block production, a flywheel manufacturer's sand-casting process, and the quality valuation of ready-mix tangible plants [7] [8].…”
Section: Introductionmentioning
confidence: 99%