Managing Uncertainty, Mitigating Risk proposes that financial risk management broaden its approach, maintaining quantification where possible, but incorporating uncertainty. The author shows that by using broad quantification techniques, and using reason as the guiding principle, practitioners can see a more holistic and complete picture.

Effective risk management is essential for the success of large projects built and operated by the Department of Energy (DOE), particularly for the one-of-a-kind projects that characterize much of its mission. To enhance DOE's risk management efforts, the department asked the NRC to prepare a summary of the most effective practices used by leading owner organizations. The study's primary objective was to provide DOE project managers with a basic understanding of both the project owner's risk management role and effective oversight of those risk management activities delegated to contractors.

Risk is real—but you can manage it with this hard-hitting guide to reducing risk on any project, in any industry All projects, large and small, are subject to various risks. But the failure to manage inherent risk with diligence and know-how can lead to devastating consequences for an organization. In this comprehensive hands-on guide, a renowned expert in the field provides everything organizations need to conduct project risk management the right way. Why do so many projects come in over schedule and over budget? How do projected expenditures and schedules line up with reality? How can you accurately assess risk to mitigate financial disaster? Through a methodical, statistics-based approach, Christian B. Smart reveals: The enduring problem of cost and schedule growth How rigorous project risk management can reduce the impact of uncertainty The systematic tendency to underestimate risk—and how to avoid it Ways to accurately assess confidence levels in project risk management The need for proper risk management at the portfolio level The author lays out common problems and explains how to effectively solve them. And while he employs a wealth of illustrative charts, graphs, and statistics, he presents the material in an accessible style, and peppers the text with powerful personal anecdotes. Ideal for project managers, business analysts, and senior decision makers in both the public and private sectors, Solving for Project Risk Management offers everything you need to ensure your projects run smoothly, on budget, and deliver the expected outcomes.

In today's business world, competitiveness defines the industrial leading edge. Organizations and businesses of all sizes are adopting Lean manufacturing practices to increase efficiency and address worries about their bottom lines. In a detailed review of this staple of Lean manufacturing, Cellular Manufacturing: Mitigating Risk and Uncertainty ou

This book offers a framework for making decisions under risk and uncertainty. Synthesizing research from economics, finance, decision theory, management, and other fields, the book provides a set of tools and a way of thinking that determines the relative merits of different strategies. It takes as its premise that we make better decisions if we use the whole toolkit of economics and related fields to inform our decision making. The text explores the distinction between risk and uncertainty and covers standard models of decision making under risk as well as more recent work on decision making.

Every organization faces difficult decisions when managing risk and the potential consequences of its manifestation. For a more thorough outlook on risk, organizations should also evaluate and engage with its advantages. Organizational Risk Management: Managing for Uncertainty and Ambiguity covers a series of perspectives that represent both causal and interpretative frameworks. These perspectives shed light on how organizational structures and processes adapt amid a complex, dynamic organizational environment in an effort to manage and exploit the accompanying risks of that environment. This volume will oftentimes challenge the expectation for and utility of clarity in crisis situations, thereby favoring uncertainty and ambiguity as the necessary conditions to exploit organizational risk and explore opportunities that rely on interpretation, learning, and knowledge among individuals. The ultimate objective of Organizational Risk Management: Managing for Uncertainty and Ambiguity is to promote discussion among practitioners and organizational scholars who venture to understand organizational risk. Setting such a goal is to essentially practice what this volume shall inevitably preach: engage one another in order to proactively monitor and respond to risk. Strengthening ties along the bridge between practice and science will be a welcomed consequence of this volume.