Author : Daniel T. Koenig
Publisher : CRC Press
Page : 444 pages
File Size : 47,44 MB
Release : 1994-08-01
Category : 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
Page : 356 pages
File Size : 33,91 MB
Release : 1997-04-15
Category : 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
Page : 237 pages
File Size : 37,62 MB
Release : 2019-06-25
Category : 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 : Richard E. Gustavson
Publisher : McGraw Hill Professional
Page : 254 pages
File Size : 10,95 MB
Release : 2010-01-22
Category : 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
Author : Rajendran Saravanan
Publisher : CRC Press
Page : 256 pages
File Size : 45,15 MB
Release : 2006-02-27
Category : Technology & Engineering
ISBN : 9780824726799
Effective utilization of equipment is critical to any manufacturing operation, especially with today's sophisticated, high-cost equipment and increased global competition. To meet these challenges in the manufacturing industry, you must understand and implement the myriad conventional and intelligent techniques for different types of manufacturing problems. Manufacturing Optimization Through Intelligent Techniques covers design of machine elements, integrated product development, machining tolerance allocation, selection of operating parameters for CNC machine tools, scheduling, part family formation, selection of robot coordinates, robot trajectory planning and both conventional and intelligent techniques, providing the tools to design and implement a suitable optimization technique. The author explores how to model optimization problems, select suitable techniques, develop the optimization algorithm and software, and implement the program. The book delineates five new techniques using examples taken from the literature for optimization problems in design, tolerance allocation; selection of machining parameters, integrated product development, scheduling, concurrent formation of machine groups and part families, selection of robot co-ordinates, robot trajectory planning and intelligent machining. All the manufacturing functions described have been successfully solved by Genetic Algorithm. Other intelligent techniques have been implemented only for solving certain types of problems: simulated annealing; design and scheduling, particle swarm optimization and ant colony optimization; tolerance allocation and tabu search; as well as machining parameters optimization. After reading this book, you will understand the different types of manufacturing optimization problems as well as the conventional and intelligent techniques suitable for solving them. You will also be able to develop and implement effective optimization procedures and algorithms for a wide variety of problems in design manufacturing.
Author : Joaquim R. R. A. Martins
Publisher : Cambridge University Press
Page : 653 pages
File Size : 12,20 MB
Release : 2021-11-18
Category : 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 : Alfred
Publisher :
Page : 0 pages
File Size : 26,37 MB
Release : 2023-12
Category : Business & Economics
ISBN :
Overview of Process Optimization In today's competitive manufacturing industry, the ability to optimize processes is crucial for engineering professionals. Process optimization plays a vital role in improving efficiency, reducing costs, and enhancing overall productivity. This subchapter provides an overview of process optimization, its key concepts, and its significance in the field of manufacturing engineering. Process optimization can be defined as the systematic approach of improving a manufacturing process to achieve desired outcomes. It involves analyzing existing processes, identifying bottlenecks and inefficiencies, and implementing strategies to enhance performance. By optimizing processes, engineers can streamline operations, eliminate waste, and achieve higher levels of quality and productivity. One of the fundamental concepts in process optimization is the concept of continuous improvement. Continuous improvement is a mindset that focuses on making incremental enhancements to processes over time. It involves constantly evaluating and refining processes to achieve greater efficiency and effectiveness. Engineers who embrace this concept are always seeking new methods and technologies to optimize their manufacturing processes. Another important concept in process optimization is data-driven decision making. Engineers rely on data to identify areas for improvement and to measure the impact of process changes. By collecting and analyzing data, they can gain insights into the root causes of inefficiencies and make informed decisions to optimize their processes. This data-driven approach ensures that changes are based on evidence rather than assumptions. Process optimization also involves the application of various tools and techniques. These tools can range from simple process mapping and value stream analysis to more complex methodologies such as Six Sigma and Lean Manufacturing. Each tool has its own purpose and can be used to address specific process optimization challenges. Engineers must have a comprehensive understanding of these tools and know how to apply them effectively in their manufacturing environment. The significance of process optimization in manufacturing engineering cannot be overstated. It enables companies to stay competitive by improving product quality, reducing costs, and increasing customer satisfaction. By optimizing processes, engineers can identify and eliminate inefficiencies, resulting in shorter lead times and faster delivery of products to the market. Moreover, process optimization fosters innovation and encourages the adoption of new technologies, enabling companies to stay ahead in the ever-evolving manufacturing landscape
Author : S. S. Rao
Publisher : New Age International
Page : 936 pages
File Size : 27,80 MB
Release : 2000
Category : 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 : Wayne A. Taylor
Publisher :
Page : 0 pages
File Size : 23,42 MB
Release : 2005
Category :
ISBN : 9780963512215
Author : Sandip Kunar
Publisher : CRC Press
Page : 285 pages
File Size : 15,98 MB
Release : 2024-11-29
Category : Business & Economics
ISBN : 1040040721
Optimization for advanced manufacturing processes in fabrication is becoming increasingly important around the world across a range of industries because of its improved productivity, capabilities, efficacy, and sustainability characteristics. This new book explains how to optimize various industrial systems and processes utilizing new significant statistical and evolutionary methodologies. Statistical, multi-criteria decision-making, and evolutionary strategies for single- and multi-objective optimization are covered here, with relevant theoretical details, salient characteristics, implementation processes, effectiveness studies, and results in manufacturing. The chapters present a variety of advanced manufacturing processes and optimization techniques. Processes are described with basic explanations, characteristics, and applications in various technological and biomedical domains. The chapters address the processes prediction of mechanical properties, design and development of tools, impact of power supply, increasing machining precision and efficiency, genetic algorithm optimization, additive manufacturing, and much more. Providing a comprehensive study of advanced manufacturing processes, this volume is a valuable reference for engineers and R&D researchers involved in optimization for advanced manufacturing processes as well as for academics and postgraduate-level students in mechanical engineering, manufacturing engineering, and machining processes.
