Books in Strategic research and management in industrial engineering

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Project Management, Planning and Control

• 8th Edition
• August 27, 2021
• Albert Lester
• English
• Paperback 978-0-12-824339-8

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• eBook 978-0-12-824340-4

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Covering the principles and techniques you need to successfully manage an engineering or technical project from start to finish, Project Management, Planning and Control is an established and widely recommended project management handbook. Building on its clear and detailed coverage of planning, scheduling and control, this eighth edition includes new case studies from industries including petrochemical and construction, as well as updates throughout to account for changes and best practice in governance and adjudication. It also now includes expanded coverage of AI, Big Data and sustainability. Ideal for those studying for Project Management Professional (PMP) qualifications, Project Management, Planning and Control is aligned with the latest Project Management Body of Knowledge (PMBOK) for both the Project Management Institute (PMI) and the Association of Project Management (APM) and includes questions and answers to help you test your understanding.

Project Management, Planning and Control

• 7th Edition
• February 18, 2017
• Albert Lester
• English
• eBook 978-0-08-102021-0

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Project Management, Planning and Control, Managing Engineering, Construction and Manufacturing Projects to PMI, APM and BSI Standards, Seventh Editions an established and widely recommended project management handbook. Building on its clear and detailed coverage of planning, scheduling and control, this seventh edition includes new advice on information management, including big data, communication, dispute resolution, project governance, and BIM. Ideal for those studying for Project Management Professional (PMP) qualifications, the book is aligned with the latest Project Management Body of Knowledge (PMBOK) for both the Project Management Institute (PMI) and the Association of Project Management (APM), and includes questions and answers to help users test their understanding.

Design of Industrial Information Systems

• 1st Edition
• October 25, 2006
• Thomas Boucher + 1 more
• English
• Hardback 978-0-12-370492-4

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• eBook 978-0-08-046553-1

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Design of Industrial Information Systems presents a body of knowledge applicable to many aspects of industrial and manufacturing systems. New software systems, such as Enterprise Resource Planning, and new hardware technologies, such as RFID, have made it possible to integrate what were separate IT databases and operations into one system to realize the greatest possible operational efficiencies. This text provides a background in, and an introduction to, the relevant information technologies and shows how they are used to model and implement integrated IT systems.With the growth of courses in information technology offered in industrial engineering and engineering management programs, the authors have written this book to show how such computer-based knowledge systems are designed and used in modern manufacturing and industrial companies.

Pattern Recognition in Industry

• 1st Edition
• March 30, 2005
• Phiroz Bhagat
• English
• Hardback 978-0-08-044538-0

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• eBook 978-0-08-045602-7

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"Find it hard to extract and utilise valuable knowledge from the ever-increasing data deluge?" If so, this book will help, as it explores pattern recognition technology and its concomitant role in extracting useful information to build technical and business models to gain competitive industrial advantage.*Based on first-hand experience in the practice of pattern recognition technology and its development and deployment for profitable application in Industry.Phiroz Bhagat is often referred to as the pioneer of neural net and pattern recognition technology, and is uniquely qualified to write this book. He brings more than two decades of experience in the "real-world" application of cutting-edge technology for competitive advantage in industry.Two wave fronts are upon us today: we are being bombarded by an enormous amount of data, and we are confronted by continually increasing technical and business advances.Ideally, the endless stream of data should be one of our major assets. However, this potential asset often tends to overwhelm rather than enrich. Competitive advantage depends on our ability to extract and utilize nuggets of valuable knowledge and insight from this data deluge. The challenges that need to be overcome include the under-utilization of available data due to competing priorities, and the separate and somewhat disparate existing data systems that have difficulty interacting with each other.Conventional approaches to formulating models are becoming progressively more expensive in time and effort. To impart a competitive edge, engineering science in the 21st century needs to augment traditional modelling processes by auto-classifying and self-organizing data; developing models directly from operating experience, and then optimizing the results to provide effective strategies and operating decisions. This approach has wide applicability; in areas ranging from manufacturing processes, product performance and scientific research, to financial and business fields.This monograph explores pattern recognition technology, and its concomitant role in extracting useful knowledge to build technical and business models directly from data, and in optimizing the results derived from these models within the context of delivering competitive industrial advantage. It is not intended to serve as a comprehensive reference source on the subject. Rather, it is based on first-hand experience in the practice of this technology: its development and deployment for profitable application in industry. The technical topics covered in the monograph will focus on the triad of technological areas that constitute the contemporary workhorses of successful industrial application of pattern recognition. These are: systems for self-organising data; data-driven modelling; and genetic algorithms as robust optimizers.

The Smart Card Report

• 8th Edition
• December 18, 2003
• Wendy Atkins
• English
• eBook 978-0-08-051900-5

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The definitive guide to the smart card industry. Will help you to keep track of the major issues affecting the market Will enable you to identify new business opportunities Includes profiles of key players, assesses market trends and drivers, comprehensive technology review Completely revised and updated, the 8th edition of The Smart Card Report examines the smart card market and major end-use sectors, identifying their needs for smart cards, assessing growth prospects and highlighting market opportunities. The study looks at the structure of the industry, profiles key players, assesses market trends and drivers, discusses industry issues and investigates usage by geographical region and application area. A comprehensive technology review is also included. We have drawn on the expertise from our existing portfolio, Card Technology Today newsletter and ID Smart: Cards for Governement & Healthcare conference to bring you vital information, analysis and forecasts that cannot be found anywhere else.

Getting It Right

• 1st Edition
• August 30, 2001
• Peter Bock
• English
• Hardback 978-0-12-108852-1

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• eBook 978-0-08-049137-0

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Over the past decade, the author has met with directors of R&D departments in large industrial firms, who are frustrated by the lack of coherent and consistent methodologies in R&D projects. As a direct result the author was asked to design and present a seminar to provide R&D engineers and scientists a standard methodology for conducting coherent, rigorous, comprehensible, and consistent R&D projects. The author also realized that this training should be included in engineering and science curricula in universities and colleges. To this end, he designed and presented a pilot course for his department that was received enthusiastically by students who participated. This course has now become a required course for all doctoral students in the author's department. This book has been designed to provide professional engineers, scientists, and students with a consistent and practical framework for the rigorous conduct and communication of complex research and development projects. Although courses and training in research methods are common and generally required of social science professionals, a vast majority of physical scientists and engineers have had no formal classroom training or on-the-job mentoring on proper procedures for research methods. Getting It Right emphasizes the comprehensive analysis of project problems, requirements, and objectives; the use of standard and consistent terminology and procedures; the design of rigorous and reproducible experiments; the appropriate reduction and interpretation of project results; and the effective communication of project design, methods, results, and conclusions.

Agile Manufacturing

• 1st Edition
• January 25, 2001
• A. Gunasekaran
• English
• Hardback 978-0-08-043567-1

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• eBook 978-0-08-052688-1

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Agile manufacturing is defined as the capability of surviving and prospering in a competitive environment of continuous and unpredictable change by reacting quickly and effectively to changing markets, driven by customer-designed products and services. Critical to successfully accomplishing AM are a few enabling technologies such as the standard for the exchange of products (STEP), concurrent engineering, virtual manufacturing, component-based hierarchical shop floor control system, information and communication infrastructure, etc.The scope of the book is to present the undergraduate and graduate students, senior managers and researchers in manufacturing systems design and management, industrial engineering and information technology with the conceptual and theoretical basis for the design and implementation of AMS. Also, the book focuses on broad policy directives and plans of agile manufacturing that guide the monitoring and evaluating the manufacturing strategies and their performance. A problem solving approach is taken throughout the book, emphasizing the context of agile manufacturing and the complexities to be addressed.