Manufacturing Engineering: Principles For Optimization PDF Download
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Author: Daniel T. Koenig
Publisher: CRC Press
ISBN: 9781560323013
Category : Technology & Engineering
Languages : en
Pages : 444
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Book Description
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: Daniel T. Koenig
Publisher: CRC Press
ISBN: 9781560323013
Category : Technology & Engineering
Languages : en
Pages : 444
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Book Description
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
ISBN: 9780824799090
Category : Technology & Engineering
Languages : en
Pages : 356
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Book Description
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: Abhinav Goel
Publisher: CRC Press
ISBN: 1000544877
Category : Mathematics
Languages : en
Pages : 232
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Book Description
This book provides different approaches used to analyze, draw attention, and provide an understanding of the advancements in the optimization field across the globe. It brings all of the latest methodologies, tools, and techniques related to optimization and industrial engineering into a single volume to build insights towards the latest advancements in various domains. Applications of Advanced Optimization Techniques in Industrial Engineering includes the basic concept of optimization, techniques, and applications related to industrial engineering. Concepts are introduced in a sequential way along with explanations, illustrations, and solved examples. The book goes on to explore applications of operations research and covers empirical properties of a variety of engineering disciplines. It presents network scheduling, production planning, industrial and manufacturing system issues, and their implications in the real world. The book caters to academicians, researchers, professionals in inventory analytics, business analytics, investment managers, finance firms, storage-related managers, and engineers working in engineering industries and data management fields.
Author: Xinbao Liu
Publisher: Springer
ISBN: 9783319878225
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
Problems facing manufacturing clusters that intersect information technology, process management, and optimization within the Internet of Things (IoT) are examined in this book. Recent advances in information technology have transformed the use of resources and data exchange, often leading to management and optimization problems attributatble to technology limitations and strong market competition. This book discusses several problems and concepts which makes significant connections in the areas of information sharing, organization management, resource operations, and performance assessment. Geared toward practitioners and researchers, this treatment deepens the understanding between resource collaborative management and advanced information technology. Those in manufacturing will utilize the numerous mathematical models and methods offered to solve practical problems related to cutting stock, supply chain scheduling, and inventory management. Academics and students with a basic knowledge of manufacturing, combinatorics, and linear programming will find that this discussion widens the research area of resource collaborative management and unites the fields of information technology, manufacturing management, and optimization.
Author: Rajendran Saravanan
Publisher: CRC Press
ISBN: 9780824726799
Category : Technology & Engineering
Languages : en
Pages : 256
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Book Description
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
ISBN: 110898861X
Category : Mathematics
Languages : en
Pages : 653
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Book Description
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: Richard Gustavson
Publisher: McGraw Hill Professional
ISBN: 0071701893
Category : Technology & Engineering
Languages : en
Pages : 256
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Book Description
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: S. S. Rao
Publisher: New Age International
ISBN: 9788122411492
Category : Engineering
Languages : en
Pages : 936
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Book Description
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: Alfred
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
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: Adedeji Bodunde Badiru
Publisher: Prentice Hall
ISBN:
Category : Industrial management
Languages : en
Pages : 584
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Book Description
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.
