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Bissonette Michael M. - Project Risk Management: A Practical Implementation Approach

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Bissonette Michael M. Project Risk Management: A Practical Implementation Approach
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    Project Risk Management: A Practical Implementation Approach
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Project Risk Management: A Practical Implementation Approach: summary, description and annotation

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Its not exactly news that putting the concepts of risk management into action can help make a project more successful. In fact, a solid understanding of risk management is a vital component of any project management professionals training, regardless of the industry in which he or she might work. In todays fast-paced, constantly changing, and extremely competitive environment, risk management is more important than ever for businesses hoping to find their footing in the global market. In Project Risk Management: A Practical Implementation Approach, author Michael M. Bissonette not only provides insights into the best ways to implement the traditional techniques of risk management, but also explores innovative new methods that can help modern organizations build their culture, improve financial performance, and ultimately achieve greater success in all of their projects

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Acknowledgments

In order to successfully write and publish this book I've had to be blessed with very good people and associations throughout my life. A book of this nature requires specific knowledge, experience, and resources to align. As a young man from a small dairy farm community in northern New York State, I was fortunate to have my parents, Martin and Billie Bissonette, who inspired me and opened doors for me to become the person I am today. My father was my first coach and engrained in me the benefits of hard work, leadership, and personal integrity. My parents, people of minimal means, ensured that I was able to attend the elite Clarkson University, which exposed me to the scientific wonders of the world and prepared (and inspired) me for a fruitful career in the development of new products and services within several industries. Earning a master's in business administration from the University of California, Irvine afforded me successive opportunities to take on project and program management roles. Managers at the companies I've worked for provided me with a wealth of experience, which has culminated in the writing of this book. My colleagues and students have all played valuable parts, as well. In addition, the Project Management Institute and its staff, whom have graciously elected to publish this work, have helped me to present the content of this book in an organized and eloquent way. Finally, my wife, Laura, and entire family (including my four children, Brittany, Bryan, Julia, and Grace) have been extremely supportive. To all of these people, I am indebted, and to them, I wish to dedicate this book.

I also dedicate this book to the memory of my father, Martin Bissonette (19322016).

Appendix A
Sample Project Traffic-Light Ratings

The overall project rating is based on the number of Red Yellow and Green - photo 1

The overall project rating is based on the number of Red, Yellow, and Green category ratings, as shown in .

Appendix B Data Supporting EVM Example Appendix C Project Profile Data - photo 2

Appendix B
Data Supporting EVM Example

Appendix C Project Profile Data - photo 3

Appendix C Project Profile Data Appendix D Multiproject Postmortem - photo 4

Appendix C
Project Profile Data

Appendix D Multiproject Postmortem Example Background An enterprise-wide - photo 5

Appendix D Multiproject Postmortem Example Background An enterprise-wide - photo 6

Appendix D
Multiproject Postmortem Example

Background

An enterprise-wide project postmortem evaluation was initiated at a fast-growing organization that had realized that project performance on development projects needed to improve. A 102-question survey was developed to facilitate this process. All of the most recent sizable projects that were conducted and concluded prior to this survey were included in the evaluation. A group of seven projects was specifically filtered out for one of the major assessments. These seven were all relatively complex R&D projects with established customer contract commitments.

About the Survey

The survey inputs were provided by the project managers assigned to the projects. The survey consisted of 102 questions: seven administrative, 25 for project description, 22 on project management tools and techniques used, 11 relative to overall project performance, and 37 relative to specific project performance. The project description data included the project profile categories listed in fish-bone diagram, and most were rated on a scale from 0 to 4 (0 being the worst rating and 4 being the best). Most of the questions required answers, and the survey typically took about two hours for each of the participants to complete.

Once the survey inputs were collected, the raw data were tabulated and analyzed. It was important to ensure that: (1) the input information remains anonymous to encourage honest assessments, (2) the raw inputs are not altered to ensure 100 percent ownership by the project managers, and (3) the analysis of the data was objectively performed to avoid obvious preconceived biases, and to gain acceptance of systemic corrective action initiatives. Subsequently, a task force team convened to review improvement initiative options and decide on specific systemic corrective actions to implement.

Summary of Survey Inputs

All survey inputs provided below are numbered by the survey question number they correspond to. Not all survey questions were relevant to this set of projects, and some were designed for collecting additional information that is not considered relevant to this analysis.

Relevant Project Profile Data:

3. Shows project management transitionsonly two project managers on the project from start to finish

4. Total project durations between 9 months and 43 months (median of 19 months)

11. Customer priorities and perceptions(1) Quality (Technical), (2) Project Costs, (3) Schedule, and (4) Product Cost

12. All project managers were primary customer points of contact (POCs)

16. Internal priorities and perceptions(1) Quality (Technical), (2) Schedule, (3) Project Costs, and (4) Product Cost

18. Six of seven projects had budgets greater than US$5 million

19. All were considered complex and risky product development projects

20. All were considered to have aggressive project schedules

21. For six of seven projects, most of the requirements were negotiated prior to contract award

22. Some projects were initiated with open-ended requirements

25. All project teams assumed that they could trade off scope if necessary

26. Six of seven projects had firm project budgets

Project Management Tools and Techniques Used:

33. Four of seven used a form of EVMthree of seven used actual-plus-plan costs versus time

36. All seven used a form of IMS Lite scheduling (i.e., no resource loading)

39. All seven used a bottom-up product cost estimation technique

41. All seven used a bottom-up project cost estimation technique to establish baseline budgets

43. All seven used a bottom-up project schedule estimation technique to establish baseline schedules

46. Four of seven used formal risk management techniquesthree of seven used informal (reactive) techniques

49. All teams used several Six Sigma tools and techniquesmostly reactive

51. Requirements management was inconsistently applied and lacking in general

53. Five of seven had some form of project management plan and SOWthe other two projects did not

Summary of Survey Results

Survey results were displayed using the below tables in Figures . Each outcome and performance rating was scored on a scale of 0 to 4. The rating for each input is shown, and the scheme used for evaluating the average scores was provided. This methodology was accepted, along with the final assessment and recommended action plans.

Note that after implementation of the systemic corrective actions delineated in , project performance improved markedly. This was a good first step in attempting to achieve flawless project execution within the performing organization. The general expectation is that with improved project performance comes improved customer satisfaction, and that leads to an improved business outlook.

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