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Robust Optimization

Author: Subir Chowdhury
Publisher: John Wiley & Sons
ISBN: 111921212X
Size: 61.90 MB
Format: PDF
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Robust Optimization is a method to improve robustness using low-cost variations of a single, conceptual design. The benefits of Robust Optimization include faster product development cycles; faster launch cycles; fewer manufacturing problems; fewer field problems; lower-cost, higher performing products and processes; and lower warranty costs. All these benefits can be realized if engineering and product development leadership of automotive and manufacturing organizations leverage the power of using Robust Optimization as a competitive weapon. Written by world renowned authors, Robust Optimization: World’s Best Practices for Developing Winning Vehicles, is a ground breaking book whichintroduces the technical management strategy of Robust Optimization. The authors discuss what the strategy entails, 8 steps for Robust Optimization and Robust Assessment, and how to lead it in a technical organization with an implementation strategy. Robust Optimization is defined and it is demonstrated how the techniques can be applied to manufacturing organizations, especially those with automotive industry applications, so that Robust Optimization creates the flexibility that minimizes product development cost, reduces product time-to-market, and increases overall productivity. Key features: Presents best practices from around the globe on Robust Optimization that can be applied in any manufacturing and automotive organization in the world Includes 19 successfully implemented best case studies from automotive original equipment manufacturers and suppliers Provides manufacturing industries with proven techniques to become more competitive in the global market Provides clarity concerning the common misinterpretations on Robust Optimization Robust Optimization: World’s Best Practices for Developing Winning Vehicles is a must-have book for engineers and managers who are working on design, product, manufacturing, mechanical, electrical, process, quality area; all levels of management especially in product development area, research and development personnel and consultants. It also serves as an excellent reference for students and teachers in engineering.

Optimization Methods In Finance

Author: Gérard Cornuéjols
Publisher: Cambridge University Press
ISBN: 1107056748
Size: 78.53 MB
Format: PDF, Docs
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Full treatment, from model formulation to computational implementation, of optimization techniques that solve central problems in finance.

Optimizing Distributor Profitability

Author: F. Barry Lawrence
Publisher: Natl Assn Wholesale-Distr
ISBN: 9781934014141
Size: 14.70 MB
Format: PDF, Kindle
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With more than 120 exhibits, a Distributor Profitability Framework map, real-world examples, and a five-step Optimizing Distributor Profitability methodology with how-to-implement ideas and tools, this book presents a powerful weapon for wholesaler-distributors across various lines of trade to use to enhance shareholder value.

Uncertainty And Environmental Decision Making

Author: Jerzy A. Filar
Publisher: Springer Science & Business Media
ISBN: 1441911308
Size: 42.23 MB
Format: PDF
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The 21st century promises to be an era dominated by international response to c- tain global environmental challenges such as climate change, depleting biodiversity and biocapacity as well as general atmospheric, water and soil pollution problems. Consequently, Environmental decision making (EDM) is a socially important ?eld of development for Operations Research and Management Science (OR/MS). - certainty is an important feature of these decision problems and it intervenes at very different time and space scales. The Handbook on “Uncertainty and Environmental Decision Making” provides a guided tour of selected methods and tools that OR/MS offer to deal with these issues. Below, we brie?y introduce, peer reviewed, chapters of this handbook and the topics that are treated by the invited authors. The ?rst chapter is a general introduction to the challenges of environmental decision making, the use of OR/MS techniques and a range of tools that are used to deal with uncertainty in this domain.

Car Guys Vs Bean Counters

Author: Bob Lutz
Publisher: Penguin
ISBN: 9781101516027
Size: 37.68 MB
Format: PDF, Docs
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A legend in the car industry reveals the philosophy that's starting to turn General Motors around. In 2001, General Motors hired Bob Lutz out of retirement with a mandate to save the company by making great cars again. He launched a war against penny pinching, office politics, turf wars, and risk avoidance. After declaring bankruptcy during the recession of 2008, GM is back on track thanks to its embrace of Lutz's philosophy. When Lutz got into the auto business in the early sixties, CEOs knew that if you captured the public's imagination with great cars, the money would follow. The car guys held sway, and GM dominated with bold, creative leadership and iconic brands like Cadillac, Buick, Pontiac, Oldsmobile, GMC, and Chevrolet. But then GM's leadership began to put their faith in analysis, determined to eliminate the "waste" and "personality worship" of the bygone creative leaders. Management got too smart for its own good. With the bean counters firmly in charge, carmakers (and much of American industry) lost their single-minded focus on product excellence. Decline followed. Lutz's commonsense lessons (with a generous helping of fascinating anecdotes) will inspire readers at any company facing the bean counter analysis-paralysis menace. From the Hardcover edition.

Solid Code

Author: Donis Marshall
Publisher: Microsoft Press
ISBN: 0735638519
Size: 30.55 MB
Format: PDF, Mobi
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Get best-in-class engineering practices to help you write more-robust, bug-free code. Two Microsoft .NET development experts share real-world examples and proven methods for optimizing the software development life cycle—from avoiding costly programming pitfalls to making your development team more efficient. Managed code developers at all levels will find design, prototyping, implementation, debugging, and testing tips to boost the quality of their code—today. Optimize each stage of the development process—from design to testing—and produce higher-quality applications. Use metaprogramming to reduce code complexity, while increasing flexibility and maintainability Treat performance as a feature—and manage it throughout the development life cycle Apply best practices for application scalability Employ preventative security measures to ward off malicious attacks Practice defensive programming to catch bugs before run time Incorporate automated builds, code analysis, and testing into the daily engineering process Implement better source-control management and check-in procedures Establish a quality-driven, milestone-based project rhythm—and improve your results!

Optimization In Practice With Matlab

Author: Achille Messac
Publisher: Cambridge University Press
ISBN: 1107109183
Size: 54.21 MB
Format: PDF, Kindle
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This textbook is designed for students and industry practitioners for a first course in optimization integrating MATLAB® software.

Artificial Intelligence Evolutionary Computing And Metaheuristics

Author: Xin-She Yang
Publisher: Springer
ISBN: 3642296947
Size: 47.16 MB
Format: PDF, Mobi
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Alan Turing pioneered many research areas such as artificial intelligence, computability, heuristics and pattern formation. Nowadays at the information age, it is hard to imagine how the world would be without computers and the Internet. Without Turing's work, especially the core concept of Turing Machine at the heart of every computer, mobile phone and microchip today, so many things on which we are so dependent would be impossible. 2012 is the Alan Turing year -- a centenary celebration of the life and work of Alan Turing. To celebrate Turing's legacy and follow the footsteps of this brilliant mind, we take this golden opportunity to review the latest developments in areas of artificial intelligence, evolutionary computation and metaheuristics, and all these areas can be traced back to Turing's pioneer work. Topics include Turing test, Turing machine, artificial intelligence, cryptography, software testing, image processing, neural networks, nature-inspired algorithms such as bat algorithm and cuckoo search, and multiobjective optimization and many applications. These reviews and chapters not only provide a timely snapshot of the state-of-art developments, but also provide inspiration for young researchers to carry out potentially ground-breaking research in the active, diverse research areas in artificial intelligence, cryptography, machine learning, evolutionary computation, and nature-inspired metaheuristics. This edited book can serve as a timely reference for graduates, researchers and engineers in artificial intelligence, computer sciences, computational intelligence, soft computing, optimization, and applied sciences.

Optimized C

Author: Kurt Guntheroth
Publisher: "O'Reilly Media, Inc."
ISBN: 1491922036
Size: 65.40 MB
Format: PDF, ePub, Docs
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In today's fast and competitive world, a program's performance is just as important to customers as the features it provides. This practical guide teaches developers performance-tuning principles that enable optimization in C++. You'll learn how to make code that already embodies best practices of C++ design run faster and consume fewer resources on any computer--whether it's a watch, phone, workstation, supercomputer, or globe-spanning network of servers. Author Kurt Guntheroth provides several running examples that demonstrate how to apply these principles incrementally to improve existing code so it meets customer requirements for responsiveness and throughput. The advice in this book will prove itself the first time you hear a colleague exclaim, "Wow, that was fast. Who fixed something?"Locate performance hot spots using the profiler and software timersLearn to perform repeatable experiments to measure performance of code changesOptimize use of dynamically allocated variablesImprove performance of hot loops and functionsSpeed up string handling functionsRecognize efficient algorithms and optimization patternsLearn the strengths--and weaknesses--of C++ container classesView searching and sorting through an optimizer's eyeMake efficient use of C++ streaming I/O functionsUse C++ thread-based concurrency features effectively