An Introduction to Organisational Behaviour for Managers and Engineers: A Group and Multicultural Approach gives a comprehensive overview of how organisations work, with a special focus on group and team working, and issues of diversity and intercultural management. This second edition has been updated throughout, drawing on the latest literature, along with: a new chapter on organisational change, a process which all managers and engineers will encounter on the job; case studies and illustrations showing theories in action; more cross-referencing between chapters, showing how topics are interlinked. This concise textbook not only provides a practical introduction to organisational behaviour for management students, but is also specifically geared towards the needs of engineering students and professionals.
Managing Engineering and Technology is ideal for courses in Technology Management, Engineering Management, or Introduction to Engineering Technology. This text is also ideal forengineers, scientists, and other technologists interested in enhancing their management skills. Managing Engineering and Technology is designed to teach engineers, scientists, and other technologists the basic management skills they will need to be effective throughout their careers.
Enhanced by sections drawn from other management courses, this book is based on the Engineering Management Program, a course which offers all its undergraduate engineers portable management skills.
A human-centric guide to solving complex problems in engineering management, from sizing teams to handling technical debt. There’s a saying that people don’t leave companies, they leave managers. Management is a key part of any organization, yet the discipline is often self-taught and unstructured. Getting to the good solutions for complex management challenges can make the difference between fulfillment and frustration for teams—and, ultimately, between the success and failure of companies. Will Larson’s An Elegant Puzzle focuses on the particular challenges of engineering management—from sizing teams to handling technical debt to performing succession planning—and provides a path to the good solutions. Drawing from his experience at Digg, Uber, and Stripe, Larson has developed a thoughtful approach to engineering management for leaders of all levels at companies of all sizes. An Elegant Puzzle balances structured principles and human-centric thinking to help any leader create more effective and rewarding organizations for engineers to thrive in.
Practical Management for the Digital Age is an innovative introductory management textbook that shows the sweeping impact of information technology on the business world. At the same time, it addresses the pressing issue of how environmental aspects are interwoven with management decisions. This book forms an academically rigorous, accurate, and accessible first exposure to a topic that often challenges novices with competing definitions, inconsistent use of terminology, methodological variety, and conceptual fuzziness. It has been written for readers with little or no prior knowledge of management and is compact enough to be read cover-to-cover over the course of a semester. Features of this book: Provides a broad, self-contained treatment of management for those without prior knowledge of management or commerce, emphasizing core ideas that every manager should know. Establishes the context of modern management by characterizing the nature of the private enterprise, the economic theory of the firm, the economics of digitalization and automation, processes of innovation, and life cycle thinking. Introduces readers to various activities of managing, including business modeling, new business formation, operations management, managing people, marketing, and the management of quality and risk. Provides practical introductions to broadly applied management techniques, including financial planning, financial analysis, evaluating flows of money, and planning and monitoring projects. This book is aimed at a wide range of undergraduate and postgraduate students in a variety of disciplines, as well as practitioners. It will be especially useful to those in the fields of engineering, science, computer science, medicine, pharmacy, social sciences, and more. It will help student readers engage confidently with project work in the final parts of their degree courses and, most importantly, with managerial situations later in their careers. For instructors, who may not have a management background, this book offers content for a self-contained year-long course in management at the intermediate undergraduate level. In addition, it has been developed for undergraduate and postgraduate courses with accreditation requirements that include a taught element in management, such as the UK Engineering Council’s Accreditation of Higher Education (AHEP) framework.
This book introduces the methods for predicting the future behavior of a system’s health and the remaining useful life to determine an appropriate maintenance schedule. The authors introduce the history, industrial applications, algorithms, and benefits and challenges of PHM (Prognostics and Health Management) to help readers understand this highly interdisciplinary engineering approach that incorporates sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering. It is ideal for beginners because it introduces various prognostics algorithms and explains their attributes, pros and cons in terms of model definition, model parameter estimation, and ability to handle noise and bias in data, allowing readers to select the appropriate methods for their fields of application.Among the many topics discussed in-depth are:• Prognostics tutorials using least-squares• Bayesian inference and parameter estimation• Physics-based prognostics algorithms including nonlinear least squares, Bayesian method, and particle filter• Data-driven prognostics algorithms including Gaussian process regression and neural network• Comparison of different prognostics algorithms divThe authors also present several applications of prognostics in practical engineering systems, including wear in a revolute joint, fatigue crack growth in a panel, prognostics using accelerated life test data, fatigue damage in bearings, and more. Prognostics tutorials with a Matlab code using simple examples are provided, along with a companion website that presents Matlab programs for different algorithms as well as measurement data. Each chapter contains a comprehensive set of exercise problems, some of which require Matlab programs, making this an ideal book for graduate students in mechanical, civil, aerospace, electrical, and industrial engineering and engineering mechanics, as well as researchers and maintenance engineers in the above fields.
This introductory textbook links theory with practice using real illustrative cases involving products, plants and infrastructures and exposes the student to the evolutionary trends in maintenance. Provides an interdisciplinary approach which links, engineering, science, technology, mathematical modelling, data collection and analysis, economics and management Blends theory with practice illustrated through examples relating to products, plants and infrastructures Focuses on concepts, tools and techniques Identifies the special management requirements of various engineered objects (products, plants, and infrastructures)
The trusted handbook—now in a new edition This newly revised handbook presents a multifaceted view of systems engineering from process and systems management perspectives. It begins with a comprehensive introduction to the subject and provides a brief overview of the thirty-four chapters that follow. This introductory chapter is intended to serve as a "field guide" that indicates why, when, and how to use the material that follows in the handbook. Topical coverage includes: systems engineering life cycles and management; risk management; discovering system requirements; configuration management; cost management; total quality management; reliability, maintainability, and availability; concurrent engineering; standards in systems engineering; system architectures; systems design; systems integration; systematic measurements; human supervisory control; managing organizational and individual decision-making; systems reengineering; project planning; human systems integration; information technology and knowledge management; and more. The handbook is written and edited for systems engineers in industry and government, and to serve as a university reference handbook in systems engineering and management courses. By focusing on systems engineering processes and systems management, the editors have produced a long-lasting handbook that will make a difference in the design of systems of all types that are large in scale and/or scope.
This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every engineering situation. Using typical engineering data, it presents the basic statistical methods that are relevant, in simple numerical terms. In addition, statistical terminology is translated into basic English. In the past, a lack of communication between engineers and statisticians, coupled with poor practical skills in quality management and statistical engineering, was damaging to products and to the economy. The disastrous consequence of setting tight tolerances without regard to the statistical aspect of process data is demonstrated. This book offers a solution, bridging the gap between statistical science and engineering technology to ensure that the engineers of today are better equipped to serve the manufacturing industry. Inside, you will find coverage on: the nature of variability, describing the use of formulae to pin down sources of variation; engineering design, research and development, demonstrating the methods that help prevent costly mistakes in the early stages of a new product; production, discussing the use of control charts, and; management and training, including directing and controlling the quality function. The Engineering section of the index identifies the role of engineering technology in the service of industrial quality management. The Statistics section identifies points in the text where statistical terminology is used in an explanatory context. Engineers working on the design and manufacturing of new products find this book invaluable as it develops a statistical method by which they can anticipate and resolve quality problems before launching into production. This book appeals to students in all areas of engineering and also managers concerned with the quality of manufactured products. Academic engineers can use this text to teach their students basic practical skills in quality management and statistical engineering, without getting involved in the complex mathematical theory of probability on which statistical science is dependent.
