Program Risk Management ........................................... Gary Hamilton, MBA, PMP, PgMP, PMI- SP, PMI- RMP, PMI- ACP, CAPM, Certified Scrum Master, Project+, PRINCE2, MSP, ITIL- F, MCTS (Sharepoint), MCITP (Project), and Six Sigma Lean Certified Professional

2016 ◽  
pp. 300-319
Keyword(s):  

This chapter presents the novel Six Sigma DMAIC generic approach to Risk Management. The method is introduced first. In The Generic Approach and Algorithms section, generic mathematical concepts are elaborated. Also, four generic classes of applications of the proposed method are identified including: 1) Portfolio Management; 2) Quality Management; 3) Project Management; and 4) Income Management. Furthermore, four generic algorithms are elaborated for the respective four classes of application of the method. The generic algorithms include description and process flow of the applications. Finally, the modelling tools used in the book's elaborations are detailed, as well as references for how to use these tools and run Simulation and Stochastic Optimisation step-by-step.


This chapter outlines the future directions for the Risk Management research. Eminent Risk Mangement scholars and practitioners are referenced considering the future direction for Risk Management in general across industries. Also, references to the future directions for specific industries, disciplines and corporate businesses are provided including: 1) Financial Risk Management; 2) Information Systems Security; 3) Energy Sector; 4) Project Management; 5) Construction Industry; 6) Supply Chain; 7) Agriculture; and 8) Six Sigma.


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.


2013 ◽  
Vol 581 ◽  
pp. 547-553
Author(s):  
Róbert Skapinyecz ◽  
Béla Illés

In the paper, an emerging approach for risk-management in holonic manufacturing networks is going to be introduced, one that is based partly on the already-proven methods of process capability and six-sigma, but combines these with a novel cost-model and a general form of the extended enterprise architecture. The aim of the research is to develop this approach into an easily adaptable, network-based evaluation tool that would be especially suitable for holonic manufacturing systems, but might also be applied in other fields of the industry as well.


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