Risk management and cost reduction of cancer drugs using Lean Six Sigma tools

2012 ◽  
Vol 25 (4) ◽  
pp. 318-330 ◽  
Author(s):  
Andrea Chiarini
2020 ◽  
Vol 32 (5) ◽  
pp. 1021-1037
Author(s):  
Roy Andersson ◽  
Yinef Pardillo-Baez

PurposeModern supply chains are at risk as a result of increasing disturbance. The use of Lean and Six Sigma’'s values, methods and tools can be one option to analyze, prevent and mitigate risks. The purpose of this study is to investigate whether a combined Lean Six Sigma philosophy can support the awareness and management of supply-chain risk.Design/methodology/approachThe methodology followed in the study is based on a literature review and multiple case study, performed by means of qualitative methods of data collection, such as observations on-site, face-to-face interviews and document analysis. Case selection includes the results of research conducted in seven large Swedish companies.FindingsIt has been indicated that Lean and Six Sigma values, methods and tools can be very effective in companies’ efforts to control the supply-chain risks and that they improve the companies’ ability to handle variability and risk management. Lean Six Sigma supports a risk-management culture in the focal companies, but they must involve customers and companies in the supply chain if they wish to create a risk-management culture in the entire supply chain. In order to do this, they can use the Six Sigma training structure, but they need to include more risk tools and methods developed for the supply chain management. It has also been indicated in the literature that if more people involve in 6S projects, the financial results will be better, and the innovation of processes will increase.Research limitations/implicationsThese include suggestions for how the companies can use the Six sigma training structure to collaborate in the supply chain.Practical implicationsThis study gives practical suggestions for how the companies in supply chain can collaborate and use the Six Sigma training structure for creating a more holistic view of supply chain, which also decrease risks in supply chain.Originality/valueThis study indicates that Lean Six Sigma supports risk awareness and management in the focal companies of the supply chains, which improves companies’ ability to handle variability and risk management. It has also been demonstrated that the companies should use the Six Sigma framework, especially training, as a foundation, and they should create common projects for better collaboration in the supply chain, which will decrease the risks in the entire supply chain.


Author(s):  
Brian J. Galli

Today, project managers are challenged with improving efficiency and overall productivity while working on certain tasks. They must be flexible and understand how to use tools and methods to improve results. While Lean Six Sigma (LSS) provides an overall data driven process to detect and improve system defects, project management has tools to evaluate and create a defined plan and manage a project. This article examines LSS alongside Project Management. It breaks down Six Sigma's DMAIC process, and shows incorporate both LSS and project management tools. If LSS only focuses on minimizing defects, then time management, cost reduction, and overall project planning must be incorporated to achieve successful project completion. This research demonstrates how that is possible. Finally, the research answers a key question: Can project management benefit LSS?


2019 ◽  
Vol 11 (3) ◽  
pp. 429-461 ◽  
Author(s):  
Pranay Sureshbhai Parmar ◽  
Tushar N. Desai

Purpose The purpose of this study is to determine the current status of Sustainable Lean Six Sigma (SLSS) practices execution in the industries by identifying the research gaps and also methodologies that are applied by different researchers and practitioners. Design/methodology/approach To find the current status of SLSS practices all over world, the literature review of the articles available through SCOPUS data base is given in different categories such as a country-wise and year-wise publication of the articles, journal-wise publication of articles, case study implementation focus in industry and data analysis techniques used by the researchers. Findings The different methodologies applied by the researchers and practitioners have been explained and the gaps for further research are identified. The extensive review of articles of last 18 years revealed that there are various opportunities such as quantitative study, framework modeling on the SLSS, and implementation of developed models in different industries, etc. which are required to be explored. Originality/value In the present study, a review of 129 articles for the time span of January 2000 to February 2018 is considered. The SCOPUS database was used for selecting the articles for review. A total of 129 articles were considered for the literature review, and the case study implementation in different industries with the focused areas such as cost reduction, defect reduction, economic, environmental and social aspects was explained.


2020 ◽  
Vol 3 (2) ◽  
pp. 1-23
Author(s):  
Brian J. Galli

The competitive business environment today is something that has never been seen before, as technology continues to challenge the way in which business has been done. As profit margins continue to shrink, it is imperative that companies have robust methods of process management to ensure peak efficiency. Continuous improvement, known as Kaizen in Japanese, is a natural step forward that is informed by the decisions made using risk management. The purpose of this article is to study the relationship between continuous improvement and risk management. In order to accomplish this task, proper definitions will be established, and proof will be provided of their relationship in real-world examples. This article represents the ideas of Lean Six Sigma and Kaizen as methods to improve the processes in many different settings, as they become excellent tools for the continuous improvement phase. Six Sigma is a set of techniques that can detect and improve defects to reduce the variability in processes that may lead to undesirable inconsistencies. Moreover, the article looks at the barriers that stop companies from adopting these methodologies. Finally, the article discusses a method for the implementation of Kaizen and Lean Six Sigma in the form of A3.


2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Hadijah Iberahim ◽  
Izmahariz Azman ◽  
Mohd Haniff Shahri ◽  
Nur Fara Ellyanie Abdul Hamid

Lean Six Sigma (LSS) is a method that helps an organization to maximize profit and minimize cost. One of the essential factors for a successful LSS project is the availability of employees who are willing to engage. Employee engagement brings about a strong sense of belonging and high productivity. Consequently, engaged employees will work harder to achieve the mission of the organization. This paper discusses a case of LSS project with a low level of employee engagement. As a result, LSS was less likely helpful in sustaining company’s performance. The purpose of this study is to identify factors that contribute to employee engagement in LSS practices. Review of the relevant literature suggests four variables, which include goal clarity, management support and trust, knowledge sharing and transfer, and teamwork. The questionnaire survey applied census in collecting feedback from 80 respondents. Statistical analysis results indicate that goal clarity, management support, and trust are significant to employee engagement. However, knowledge sharing and transfer as well as teamwork are not substantial. It is recommended for the organization to give attention to all the four factors. This paper extended understandings on critical inputs to a successful implementation of LSS for sustainable company’s performance and growth. Keywords: Lean Six Sigma, Employee Engagement, Goal Clarity, Management Support and Trust, Teamwork, Knowledge Sharing.


2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Sehul H. Patel ◽  
Dr. Darshak A. Desai

Author(s):  
Fernando Forcellini ◽  
Milton Pereira ◽  
Helio Aisenberg Ferenhof ◽  
Arthur Boeing Ribeiro

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