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Lean Six Sigma

About: Lean Six Sigma is a research topic. Over the lifetime, 1919 publications have been published within this topic receiving 29142 citations.


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01 Jan 2018
TL;DR: It was noted the real influence actions intended by the Lean Six Sigma methodology and its truthful contribution in the improvement on the productivity of the bulldozer Liebherr R 954 SME, with the increase around 40%, providing great operational earnings in the mining activity.
Abstract: The lead equipments have a fundamental role in the mining operation. Its sizing and allocation upon the mining must occur in order to optimize the operation and reach better indicators of efficiency and productivity. This work was developed from data provided by the company Ferro+ Mineracao, and emerged from the improvement process initiative enforcing the Lean Six Sigma methodology, developed by Mining an Operations management, whit the purpose of decreasing cost value ($/l) of the load equipment. The studies sought to analyse some variables around the process, such as prioritizing the bulldozer Liebherr R 954 SME having a great impact on mining activities and it’s interdiction on performing secondary tasks. It was also executed time cycle measurement of the equipment on the field, with the purpose to verify the effectiveness of the data provided by the current office system SmartMine. Over time with the study, it was noted the real influence actions intended by the Lean Six Sigma methodology and its truthful contribution in the improvement on the productivity of the bulldozer Liebherr R 954 SME, with the increase around 40%, providing great operational earnings in the mining activity. Besides the cutback on Diesel consumption by 4 l/t.

1 citations

01 Jan 2013
TL;DR: The concept of Lean Six Sigma is a combination of both the Lean and Six Sigma as mentioned in this paper, which is a business improvement methodology that increases profits and delivers value to customers by focusing on the reduction of variation and elimination of defects with the help of various statistical, data-based tools and techniques.
Abstract: Six Sigma was a technique developed in 1985 by Bill Smith of Motorola. Six Sigma is a business improvement methodology that increases profits and delivers value to customers by focusing on the reduction of variation and elimination of defects with the help of various statistical, data-based tools and techniques. Whereas, Lean methodology is a business transformation technique which was derived from the Toyota Production System (TPS) which focuses on increasing customer value by reducing the cycle time of product and service delivery through the elimination of all forms of waste and unevenness in the workflow. The concept of Lean Six Sigma is a combination of both the Lean and Six Sigma. The aim of this review paper is to define the meaning and basic principles of Process Improvement Techniques. For this purpose, Process Improvement Techniques focuses on Lean, Six Sigma and combined approach as Lean Six Sigma. These techniques have been used in various sectors like private sector, manufacturing and service organisations for many years.

1 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a challenge to humanitarian organizations whose mandate is to ensure that disasters are responded to or mitigated by means of disaster response or mitigation, in the context of natural disasters.
Abstract: Natural disasters affect people and their livelihoods daily in the world, posing a challenge to humanitarian organisations whose mandate is to ensure that disasters are responded to or mitigated th...

1 citations

Journal ArticleDOI
TL;DR: In this paper , the authors focus on reducing the time required to compile meeting minutes and provide an example that others can use to improve organizational communication and demonstrate an application of problem-solving for driving change in organizations.

1 citations

Dissertation
01 Jan 2015
TL;DR: In this article, the authors present the results of a pilot project to compare the performance level of the material handling process from the current state versus that achieved post-solution implementation.
Abstract: Volvo Powertrain is facing problems with the current material handling operations in the production site for heavy-duty engines. There are variations leading to ergonomic inefficiencies as well as non-value adding activities, which are leading to negative impacts on productivity. This thesis has been conducted in order to come up with solutions to the current hindrances in material handling for the main engine line as well as provide financial calculations for the benefits of the proposed solutions. The thesis has been structured in order to utilize Lean Six Sigma principles and continuous improvement methodologies as a foundation for problem investigation and analysis, as well as concepts from material handling and ergonomics. The DMAIC (Define-Measure-Analyze- Improve-Control) framework was utilized during this process improvement project. The project aims to provide a future state for an improved material handling process and lead to financial contributions for Volvo Powertrain. The perspective towards problem understanding and investigation has been taken from three diverse standpoints, namely in terms of variation, ergonomic inefficiency and the risk due to physical load on the operators by taking different factors into consideration. Within the DMAIC cycle a pilot project was conducted to compare the performance level of the material handling process from the current state versus that achieved post-solution implementation. The result of this project has essentially led to a more improved performance level within material handling within each of the different standpoints taken for the analysis. Moreover, the findings have also led to financial contributions achieved through a more stable and capable process in the heavy-duty engines main production line. Which could be applied within other production lines as well as industrial environments when applicable.

1 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
2023109
2022205
2021183
2020187
2019190