This is a book that does what the title says, and is different from most business process mapping information in three key ways. First, it lets you capture all the knowledge that goes into a workflow in any kind of organization, including the most difficult kind of all, the tacit knowledge people bring to the job and carry in their heads. Second, it is simple, powerful, flexible, and easy to learn. Finally, this book does not require installing, learning, and applying a complicated program (sometimes requiring reorganization to support the software rather than the software supporting the organization). It was developed by the author in a 15-year-long program of studying, analyzing, and improving avionics maintenance processes for the U.S. Navy and the Royal Canadian Air Force, and then applied to organizations of all kinds over more than two decades. It has been taught and applied by the author and others in many short courses. In short—this book works.

By showcasing the work of technical services, and the ground-breaking changes they have encountered, this edited collection provides readers with an opportunity to re-assess the opportunities and challenges for library administration, and to understand how libraries should be managed in the future.

This is a book that does what the title says, and is different from most business process mapping information in three key ways. First, it lets users capture all the knowledge that goes into a workflow in any kind of organization, including the most difficult kind of all; the tacit knowledge people bring to the job and carry in their heads. Second, it is simple, powerful, flexible, and easy to learn. Third, it does not require installing, learning, and applying a complicated program (sometimes requiring reorganization to support the software rather than the software supporting the organization). It was developed by the author in a 15-year long program of studying, analyzing, and improving avionics maintenance processes for the U.S. Navy and the Royal Canadian Air Force, and then applied to organizations of all kinds ever since, for more than two decades. It has been taught and applied by the author and others in many short courses. It works.

This book is Volume II of simple but powerful tools for performance improvement. It is written for managers, analysts, and consultants who realize the value that system dynamic modeling can bring to companies and organizations, and would like to have that capability without a degree in math or computer science. It features the iThink modeling program, which requires no extensive knowledge of math; instead, iThink uses a small set of symbols and rules to allow any keen observer of a system to create models graphically—the user literally draws a graphic of the system within the program and works from that. In Chapter 1, the author describes his own experiences with modeling, the growth and development of modeling software, and makes the case for its value. Chapter 2 is an overview of iThink symbols and rules, sufficient to enable the reader to interpret and understand iThink models; while the program has many advanced features, a great many models are based on the fundamentals in this chapter. Chapter 3 provides guidelines for converting workflow-mapping models into iThink dynamic models, and discusses approaches to building models from scratch. This approach to modeling is consistent with the author’s approach to workflow mapping and analysis, which uses a small symbol set and related discipline to map workflows in any company or organization, without the need for expensive software or extended training. That process is described in this volume of the series, and these maps are often the foundation for modeling the system as a dynamic entity.

Almost every organization is exposed to financial risk stemming from commodity price volatility. Risk exposure may be direct, from the prices paid for raw materials transformed into products sold to customers, or indirect, from higher energy, transportation costs, and supplier commodity purchases. Managing Commodity Price Risk: A Supply Chain Perspective provides a range of approaches organizations can implement and adapt for assessing, forecasting, and managing commodity price volatility and reducing financial risk exposure associated with purchased goods and services. Understanding and managing commodity price risk is important for organizations and supply chain professionals due to the significant direct financial effects price volatility has on profitability, organizational cash flow, the ability to competitively price products, new product design, buyer–supplier relationships, and the negotiation process.

This book provides a short, concise overview of lean work design, which sees lean systems as the result of a systematic implementation of appropriate work processes. It discusses lean tools, but views tools only as a means of achieving a desirable work design and does not see the use of lean tools as a goal in themselves.

This book is for everyone who wants to make better forecasts. It is not about mathematics and statistics. It is about following a well-established forecasting process to create and implement good forecasts. This is true whether you are forecasting global markets, sales of SKUs, competitive strategy, or market disruptions. Today, most forecasts are generated using software. However, no amount of technology and statistics can compensate for a poor forecasting process. Forecasting is not just about generating a number. Forecasters need to understand the problems they are trying to solve. They also need to follow a process that is justifiable to other parties and be implemented in practice. This is what the book is about. Accurate forecasts are essential for predicting demand, identifying new market opportunities, forecasting risks, disruptions, innovation, competition, market growth and trends. Companies can navigate this daunting landscape and improve their forecasts by following some well-established principles. This book is written to provide the fundamentals business leaders need in order to make good forecasts. These fundamentals hold true regardless of what is being forecast and what technology is being used. It provides the basic foundational principles all companies need to achieve competitive forecast accuracy.