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| Author | : Daniel T. Koenig |
| Publisher | : CRC Press |
| Total Pages | : 444 |
| Release | : 1994-08-01 |
| Genre | : Technology & Engineering |
| ISBN | : 9781560323013 |
Offers instruction in manufacturing engineering management strategies to help the student optimize future manufacturing processes and procedures. This edition includes innovations that have changed management's approach toward the uses of manufacturing engineering within the business continuum.
| Author | : Rhyder |
| Publisher | : CRC Press |
| Total Pages | : 356 |
| Release | : 1997-04-15 |
| Genre | : Technology & Engineering |
| ISBN | : 9780824799090 |
This work presents the concepts of process design, problem identification, problem-solving and process optimization. It provides the basic tools needed to increase the consistency and profitability of manufacturing options, stressing the paradigms of improvement and emphasizing the hands-on use of tools furnished. The book introduces basic experimental design principles and avoids complicated statistical formulae.
| Author | : Kapil Gupta |
| Publisher | : Springer |
| Total Pages | : 237 |
| Release | : 2019-06-25 |
| Genre | : Technology & Engineering |
| ISBN | : 3030196380 |
This book provides a detailed understanding of optimization methods as they are implemented in a variety of manufacturing, fabrication and machining processes. It covers the implementation of statistical methods, multi-criteria decision making methods and evolutionary techniques for single and multi-objective optimization to improve quality, productivity, and sustainability in manufacturing. It reports on the theoretical aspects, special features, recent research and latest development in the field. Optimization of Manufacturing Processes is a valuable source of information for researchers and practitioners, as it fills the gap where no dedicated book is available on intelligent manufacturing/modeling and optimization in manufacturing. Readers will develop an understanding of the implementation of statistical and evolutionary techniques for modeling and optimization in manufacturing.
| Author | : Mitsuo Gen |
| Publisher | : John Wiley & Sons |
| Total Pages | : 520 |
| Release | : 1999-12-28 |
| Genre | : Technology & Engineering |
| ISBN | : 9780471315315 |
Im Mittelpunkt dieses Buches steht eines der wichtigsten Optimierungsverfahren der industriellen Ingenieurtechnik: Mit Hilfe genetischer Algorithmen lassen sich Qualität, Design und Zuverlässigkeit von Produkten entscheidend verbessern. Das Verfahren beruht auf der Wahrscheinlichkeitstheorie und lehnt sich an die Prinzipien der biologischen Vererbung an: Die Eigenschaften des Produkts werden, unter Beachtung der äußeren Randbedingungen, schrittweise optimiert. Ein hochaktueller Band international anerkannter Autoren. (03/00)
| Author | : S. S. Rao |
| Publisher | : New Age International |
| Total Pages | : 936 |
| Release | : 2000 |
| Genre | : Engineering |
| ISBN | : 9788122411492 |
A Rigorous Mathematical Approach To Identifying A Set Of Design Alternatives And Selecting The Best Candidate From Within That Set, Engineering Optimization Was Developed As A Means Of Helping Engineers To Design Systems That Are Both More Efficient And Less Expensive And To Develop New Ways Of Improving The Performance Of Existing Systems.Thanks To The Breathtaking Growth In Computer Technology That Has Occurred Over The Past Decade, Optimization Techniques Can Now Be Used To Find Creative Solutions To Larger, More Complex Problems Than Ever Before. As A Consequence, Optimization Is Now Viewed As An Indispensable Tool Of The Trade For Engineers Working In Many Different Industries, Especially The Aerospace, Automotive, Chemical, Electrical, And Manufacturing Industries.In Engineering Optimization, Professor Singiresu S. Rao Provides An Application-Oriented Presentation Of The Full Array Of Classical And Newly Developed Optimization Techniques Now Being Used By Engineers In A Wide Range Of Industries. Essential Proofs And Explanations Of The Various Techniques Are Given In A Straightforward, User-Friendly Manner, And Each Method Is Copiously Illustrated With Real-World Examples That Demonstrate How To Maximize Desired Benefits While Minimizing Negative Aspects Of Project Design.Comprehensive, Authoritative, Up-To-Date, Engineering Optimization Provides In-Depth Coverage Of Linear And Nonlinear Programming, Dynamic Programming, Integer Programming, And Stochastic Programming Techniques As Well As Several Breakthrough Methods, Including Genetic Algorithms, Simulated Annealing, And Neural Network-Based And Fuzzy Optimization Techniques.Designed To Function Equally Well As Either A Professional Reference Or A Graduate-Level Text, Engineering Optimization Features Many Solved Problems Taken From Several Engineering Fields, As Well As Review Questions, Important Figures, And Helpful References.Engineering Optimization Is A Valuable Working Resource For Engineers Employed In Practically All Technological Industries. It Is Also A Superior Didactic Tool For Graduate Students Of Mechanical, Civil, Electrical, Chemical And Aerospace Engineering.
| Author | : Joaquim R. R. A. Martins |
| Publisher | : Cambridge University Press |
| Total Pages | : 653 |
| Release | : 2021-11-18 |
| Genre | : Mathematics |
| ISBN | : 110898861X |
Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-semester graduate course on optimization in aerospace, civil, mechanical, electrical, and chemical engineering departments.
| Author | : G. R. Sinha |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2019 |
| Genre | : Electronic books |
| ISBN | : 9780750324045 |
Achieving a better solution or improving the performance of existing system design is an ongoing a process for which scientists, engineers, mathematicians and researchers have been striving for many years. Ever increasingly practical and robust methods have been developed, and every new generation of computers with their increased power and speed allows for the development and wider application of new types of solutions. This book defines the fundamentals, background and theoretical concepts of optimization principles in a comprehensive manner along with their potential applications and implementation strategies. It encompasses linear programming, multivariable methods for risk assessment, nonlinear methods, ant colony optimization, particle swarm optimization, multi-criterion and topology optimization, learning classifier, case studies on six sigma, performance measures and evaluation, multi-objective optimization problems, machine learning approaches, genetic algorithms and quality of service optimizations. The book will be very useful for wide spectrum of target readers including students and researchers in academia and industry.
| Author | : Adedeji Bodunde Badiru |
| Publisher | : Prentice Hall |
| Total Pages | : 584 |
| Release | : 1995 |
| Genre | : Business & Economics |
| ISBN | : |
Project Management -- the process of managing, allocating, and timing resources to achieve a given goal in an efficient and expedient manner -- has emerged as a separate discipline that is being increasingly embraced by various sectors, ranging from business to engineering. Comprehensive in perspective, this book presents an approach to project management -- from planning through implementation -- that integrates qualitative and quantitative techniques . Practical in approach, it demonstrates with numerous examples how three categories of tools -- management practices, optimization models, and computer applications -- complement one another to enhance overall project management. Considers traditional project management techniques, modern applications of operations research methodologies, and computer applications -- as well as supporting topics such as forecasting and inventory management. Reviews other methodologies, such as regression analysis and decision making methodologies that a project manager can utilize. Organizes chapters hierarchically to illustrate the incremental steps in a project management process -- from setting project goals to terminating the project. Features numerous examples and a chapter-length case study. For Industrial Engineers and Operations Managers.
| Author | : Richard E. Gustavson |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 254 |
| Release | : 2010-01-22 |
| Genre | : Technology & Engineering |
| ISBN | : 0071701893 |
Optimize Economic and Technological Requirements in Production System Designs This pioneering work offers proven techniques, partially created and developed at The Charles Stark Draper Laboratory, for determining optimal resource allocation and cost-effective production system designs for today’s any-volume manufacturing environments. Production Systems Engineering presents a unique methodology that synthesizes applicable technology with economic requirements for an integrated solution. Featuring real-world case studies, this authoritative resource establishes a new paradigm for the manufacturing world that can also be applied to other enterprise environments. Coverage includes: Determining an improved manufacturing system design method System design basics, time allocation, resources, costs, and quality rating Stochastic analyses added to deterministic results System configuration options Multiple disparate products produced by one system World class versus mostly manual systems Determining allowable investment Simultaneous improvement in yield and cycle-time
