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Business Process Modeling, Simulation and Design This book covers the design of business processes
from a broad quantitative modeling perspective. The text presents a multitude of
analytical tools that can be used to model, analyze, understand and ultimately,
to design business processes. The range of topics in this text include graphical
flowcharting tools, deterministic models for cycle time analysis and capacity
decisions, analytical queuing methods, as well as the use of Data Envelopment
Analysis (DEA) for benchmarking purposes. And a major portion of the book is
devoted to simulation modeling using a state of the art discrete-event
simulation package.
Computing
Tools for Modeling, Optimization and Simulation: Interfaces in Computer
Science and Operations Research Computing Tools for Modeling, Optimization and Simulation reflects the need for preserving the marriage between operations research and computing in order to create more efficient and powerful software tools in the years ahead. The 17 papers included in this volume were carefully selected to cover a wide range of topics related to the interface between operations research and computer science. The volume includes the now perennial applications of metaheuristics (such as genetic algorithms, scatter search, and tabu search) as well as research on global optimization, knowledge management, software maintainability and object-oriented modeling. These topics reflect the complexity and variety of the problems that current and future software tools must be capable of tackling. The OR/CS interface is frequently at the core of successful applications and the development of new methodologies, making the research in this book a relevant reference in the future.
Scatter Search: Methodology and Implementations in C The evolutionary approach called scatter search originated from strategies for creating composite decision rules and surrogate constraints. Recent studies demonstrate the practical advantages of this approach for solving a diverse array of optimization problems from both classical and real world settings. Scatter search contrasts with other evolutionary procedures, such as genetic algorithms, by providing unifying principles for joining solutions based on generalized path constructions in Euclidean space and by utilizing strategic designs where other approaches resort to randomization. The book's goal is to provide the basic principles and fundamental ideas that will allow the readers to create successful applications of scatter search. The book includes the C source code of the methods introduced in each chapter.
Tabu Search This book explores the metaheuristic approach called tabu search, which is dramatically changing our ability to solve a host of problems that stretch over the realms of resource planning, telecommunications, VLSI design, financial analysis, scheduling, space planning, energy distribution, molecular engineering, logistics, pattern classification, flexible manufacturing, waste management, mineral exploration, biomedical analysis, environmental conservation and scores of other problems. The major ideas of tabu search are presented with examples that show their relevance to multiple applications. Numerous illustrations and diagrams are used to clarify principles that deserve emphasis, and that have not always been well understood or applied. The book's goal is to provide `hands-on' knowledge and insight alike, rather than to focus exclusively either on computational recipes or on abstract themes. This book is designed to be useful and accessible to researchers and practitioners in management science, industrial engineering, economics, and computer science. It can appropriately be used as a textbook in a masters course or in a doctoral seminar. Because of its emphasis on presenting ideas through illustrations and diagrams, and on identifying associated practical applications, it can also be used as a supplementary text in upper division undergraduate courses. |
