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Information Systems Research: Relevant Theory and Informed Practice comprises the edited proceedings of the WG8.2 conference, "Relevant Theory and Informed Practice: Looking Forward from a 20-Year Perspective on IS Research," which was sponsored by IFIP and held in Manchester, England, in July 2004. Meer
Process Improvement and CMMI® for Systems and Software provides a workable approach for achieving cost-effective process improvements for systems and software. Meer
The U.S. government mandates that all Department of Defense logistic-wide initiatives adopt commercially proven practices and strategies to undergo maintenance, repair and overhaul (MRO) transformations. Meer
Charged with ensuring the confidentiality, integrity, availability, and delivery of all forms of an entity's information, Information Assurance (IA) professionals require a fundamental understanding of a wide range of specializations, including digital forensics, fraud examination, systems engineering, security risk management, privacy, and compliance. Meer
Best Practices in Configuration Management to Ensure Quality
Many organizations are invoking a new kind of management technique – Configuration Management – meant to ensure a product maintains its originally intended design, materials, composition, and processing throughout its entire lifecycle. Meer
This book provides an overview of, and practical guidance on, the range of human factors (HF) methods that can be used for the purposes of accident analysis and investigation in complex sociotechnical systems. Meer
A must-have reference resource for quantitative management researchers, this text contains over 100 entries covering the fundamentals of quantitative methodologies. Meer
Although there are countless books about process improvement and business performance, there is a dearth of literature on how process improvement yields business performance results. Meer
axiomatic results should be at the heart of such a science. Through them, we should be able to enlighten and scientifically assist decision-making processes especially by: - making that wh ich is objective stand out more c1early from that which is less objective; - separating robust from fragile conc1usions; - dissipating certain forms of misunderstanding in communication; - avoiding the pitfall of illusory reasoning; - emphasizing, once they are understood, incontrovertible results. Meer
Since I started working in the area of nonlinear programming and, later on, variational inequality problems, I have frequently been surprised to find that many algorithms, however scattered in numerous journals, monographs and books, and described rather differently, are closely related to each other. Meer
This work grew out of several years of research, graduate seminars and talks on the subject. It was motivated by a desire to make the technology accessible to those who most needed it or could most use it. Meer
In recent years global optimization has found applications in many interesting areas of science and technology including molecular biology, chemical equilibrium problems, medical imaging and networks. Meer
Polynomial extremal problems (PEP) constitute one of the most important subclasses of nonlinear programming models. Their distinctive feature is that an objective function and constraints can be expressed by polynomial functions in one or several variables. Meer
Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities. Meer
Today’s global business environments drive companies to be more technology dependent, and to remain competitive, firms need to introduce or adopt a new technology to business. Meer
The Multi-Agent Based Beam Search (MABBS) method systematically integrates four major requirements of manufacturing production - representation capability, solution quality, computation efficiency, and implementation difficulty - within a unified framework to deal with the many challenges of complex real-world production planning and scheduling problems. Meer
Decision makers in the Renewable Energy sector face an increasingly complex social, economic, technological, and environmental scenario in their decision process. Meer
This volume presents a collection of contributions dedicated to applied problems in the financial and energy sectors that have been formulated and solved in a stochastic optimization framework. Meer
Although studies on multiobjective mathematical programming under uncertainty have been accumulated and several books on multiobjective mathematical programming under uncertainty have been published (e. Meer
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