Engineering Design and Automation – serie

The last few years have seen important advances in the use ofgenetic algorithms to address challenging optimization problems inindustrial engineering. Genetic Algorithms and Engineering Designis the only book to cover the most recent technologies and theirapplication to manufacturing, presenting a comprehensive and fullyup-to-date treatment of genetic algorithms in industrialengineering and operations research. Beginning with a tutorial on genetic algorithm fundamentals andtheir use in solving constrained and combinatorial optimizationproblems, the book applies these techniques to problems in specificareas--sequencing, scheduling and production plans, transportationand vehicle routing, facility layout, location-allocation, andmore. Each topic features a clearly written problem description,mathematical model, and summary of conventional heuristicalgorithms. All algorithms are explained in intuitive, rather thanhighly-technical, language and are reinforced with illustrativefigures and numerical examples. Written by two internationally acknowledged experts in the field,Genetic Algorithms and Engineering Design features originalmaterial on the foundation and application of genetic algorithms,and also standardizes the terms and symbols used in othersources--making this complex subject truly accessible to thebeginner as well as to the more advanced reader. Ideal for both self-study and classroom use, this self-containedreference provides indispensable state-of-the-art guidance toprofessionals and students working in industrial engineering,management science, operations research, computer science, andartificial intelligence. The only comprehensive, state-of-the-arttreatment available on the use of genetic algorithms in industrialengineering and operations research . . . Written by internationally recognized experts in the field ofgenetic algorithms and artificial intelligence, Genetic Algorithmsand Engineering Design provides total coverage of currenttechnologies and their application to manufacturing systems.Incorporating original material on the foundation and applicationof genetic algorithms, this unique resource also standardizes theterms and symbols used in other sources--making this complexsubject truly accessible to students as well as experiencedprofessionals. Designed for clarity and ease of use, thisself-contained reference:* Provides a comprehensive survey of selection strategies, penaltytechniques, and genetic operators used for constrained andcombinatorial optimization problems* Shows how to use genetic algorithms to make production schedules,solve facility/location problems, make transportation/vehiclerouting plans, enhance system reliability, and much more* Contains detailed numerical examples, plus more than 160auxiliary figures to make solution procedures transparent andunderstandable

The phenomenal success of integrated product and process development (IPPD) at such companies as Boeing, Motorola, and Hewlett-Packard has led many manufacturers to place renewed emphasis on this critical aspect of concurrent engineering. If you are among those charged with the daunting task of implementing, upgrading, or maintaining IPPD, you need a single reference/handbook that covers all of the tools, technologies, and applications that support IPPD. You need Integrated Product and Process Development.Emphasizing applications, this extremely user-friendly guide covers everything from basic principles to cutting-edge research. It addresses ideas and methods in product design as well as issues related to process design and manufacturing. Case studies illustrate the application of various tools and techniques of IPPD in manufacturing for the defense industry, making the most of product planning, applications of quality function deployment (QFD), the effective use of design optimization, and integrating design and process planning.Other topics covered include: Identifying customer needs using QFD.Issues and constraints in time-driven product development.Enhancing automated design systems with functional design.Rapid prototyping.Case-based process planning systems

A comprehensive guide to a powerful new analytical tool by two of its foremost innovators The past decade has witnessed many exciting advances in the use of genetic algorithms (GAs) to solve optimization problems in everything from product design to scheduling and client/server networking. Aided by GAs, analysts and designers now routinely evolve solutions to complex combinatorial and multiobjective optimization problems with an ease and rapidity unthinkable withconventional methods. Despite the continued growth and refinement of this powerful analytical tool, there continues to be a lack of up-to-date guides to contemporary GA optimization principles and practices. Written by two of the world's leading experts in the field, this book fills that gap in the literature. Taking an intuitive approach, Mitsuo Gen and Runwei Cheng employ numerous illustrations and real-world examples to help readers gain a thorough understanding of basic GA concepts-including encoding, adaptation, and genetic optimizations-and to show how GAs can be used to solve an array of constrained, combinatorial, multiobjective, and fuzzy optimization problems. Focusing on problems commonly encountered in industry-especially in manufacturing-Professors Gen and Cheng provide in-depth coverage of advanced GA techniques for:* Reliability design* Manufacturing cell design* Scheduling* Advanced transportation problems* Network design and routing Genetic Algorithms and Engineering Optimization is an indispensable working resource for industrial engineers and designers, as well as systems analysts, operations researchers, and management scientists working in manufacturing and related industries. It also makes an excellent primary or supplementary text for advanced courses in industrial engineering, management science, operations research, computer science, and artificial intelligence.

Practical, up-to-date coverage for a new generation of engineering and management professionals. Lawrence S. Aft s Productivity, Measurement, and Improvement has long served as a seminal reference for students and professionals in industrial engineering, quality management, and other related fields. Now Work Measurement and Methods Improvement brings his work right up to date with the demands of today s rapidly changing marketplace, where work measurement and methods improvement have a vital role to play in improving quality and enhancing productivity in a wide range of industries. Accessible and easy to follow, this book presents solid, practical coverage of the key principles and practices of work measurement. It explains the purpose, use, advantages, and limitations of tools and methods for:* Work analysis including graphical productivity analysis and work methods improvement* Product measurement from time study and standard data systems to work sampling and labor reporting issues* Product improvement ergonomics, incentive systems, continuous improvement, process improvement, and more With straightforward examples, chapter-end summaries, review questions, and practice exercises that emphasize the application of fundamental concepts, Work Measurement and Methods Improvement is an essential reference for current and future professionals who must do the work and manage the process to achieve better quality, higher productivity, and powerhouse performance for their organization.