Bøger i International Series in Operations Research & Management Science serien

Here is a much-needed attempt to reconcile optimization with apportionment in just-in-time (JIT) sequences. It argues that apportionment theory and optimization based on deviation functions provide benchmarks for a process, and examines recent developments.

There is an ever-increasing need to solve optimization problems in a wide variety of science and engineering applications. This up-to-date and highly relevant book provides a cutting-edge research tool to use for large-scale, complex systems optimization.

Potential Function Methods For Approximately Solving Linear Programming Problems breaks new ground in linear programming theory. During the last ten years, a new body of research within the field of optimization research has emerged, which seeks to develop good approximation algorithms for classes of linear programming problems.

This book analyzes three manufacturing classes in its attempt to discover a unified theory for the design of an array of manufacturing and service systems. The analysis factors in market and operating risks.

Focuses on the problem of managing the resource allocation taking place within the operational context of many technological applications, including flexibly automated production systems, automated railway and/or monorail transportation systems, electronic workflow management systems, and business transaction supporting systems.

Acknowledged risk authority Tony Cox shows all risk practitioners how Quantitative Risk Assessment (QRA) can improve risk management decisions and policies. It illustrates QRA methods for complex and uncertain biological, engineering, and social systems.

Focuses on the concepts and tools for the planning and management of an investment portfolio by a government or a business organization for either the development or the application of technologies.

A combination of both Integer Programming and Nonlinear Optimization, this is a powerful book that surveys the field and provides a state-of-the-art treatment of Nonlinear Integer Programming.

It systematically examines the uncertainties power companies are facing and develops models to describe them - including an innovative approach combining fundamental and finance models for price modeling.

Constrained optimization models are core tools in business, science, government, and the military with applications including airline scheduling, control of petroleum refining operations, investment decisions, and many others. This book summarizes the advances in algorithms related to feasibility and infeasibility in optimization.

Formal decision and evaluation models are so widespread that almost no one can pretend not to have used or suffered the consequences of one of them. A sound analysis of techniques is proposed and the presentation can be extended to most decision and evaluation models as a "decision aiding methodology".

This text describes a series of models, propositions, and algorithms developed in recent years on time-varying networks. References and discussions on relevant problems and studies that have appeared in the literature are integrated in the book.

Throughput Optimization In Robotic Cells provides practitioners, researchers, and students with up-to-date algorithmic results on sequencing of robot moves and scheduling of parts in robotic cells. It brings together the structural results developed over the last 25 years for the various realistic models of robotic cells.

4th Party Cyber Logistics For Air Cargo is a technical discussion for researchers and practitioners to understand the issues, models, and future directions of air cargo logistics in the cyber era.

This book shows how the application of fuzzy logic can benefit management, group decision making, strategic planning, supply chain management and other business imperatives.

Most books on inventory theory use the item approach to determine stock levels, ignoring the impact of unit cost, echelon location, and hardware indenture.

In today's global economy, operations strategy in supply chains must assume an ever-expanding and strategic role of risks. These operational and strategic facets entail a brand new set of operational problems and risks that have not always been understood or managed very well.

Addresses the increasing number of Operations Research and Management Science problems (that is, applications) that involve the explicit consideration of time and of gaming among multiple agents. This book is suitable for engineers, operation researchers, applied mathematicians and social scientists.

This text addresses the modeling of scenarios in virtually every combat area including shooting without feedback, shooting with feedback, target defense, attrition models, game theory and wargames, search, unmanned aerial vehicles, and terror and insurgency.

This book aims to spark students' interest in modeling problems as networks. It contains a range of not-too-large network optimization problems that need to be analyzed and solved using the computer. All the exercises have been rigorously classroom-tested.

This book presents an investigation of the project's time performance measurement methods and risk analysis techniques in order to evaluate methods in terms of their abilities to improve the corrective actions decision-making process during project tracking.

While maintaining the rigorous linear programming instruction required, Murty's new book is unique in its focus on developing modeling skills to support valid decision-making for complex real world problems, and includes solutions to brand new algorithms.

This important new work provides a comprehensive discussion of the customer satisfaction evaluation problem. It presents an overview of the existing methodologies as well as the development and implementation of an original multicriteria method dubbed MUSA.

With a particular focus on inventory models where these world events are modeled by Markov processes, the authors present their research on Markovian demand inventory models, which was carried out over a period of ten years beginning in the early nineties.

Other goals are to edit the known results in a unified manner, classify them and identify where and how they relate to each other, and fill in some gaps with new results. we have highlighted the results For each topic covered in the book, that, in our opinion, are the most important.

At this point, software for the following four algorithms is available: The two-phase simplex method The primal-dual simplex method The path-following interior-point method The homogeneous self-dual methods.GBP/LISTGBP.

An Annotated Timeline of Operations Research: An Informal History recounts the evolution of Operations Research (OR) as a new science - the science of decision making.

This systematic treatment of the most important and successful algorithmic and implementation techniques of the Simplex Method focuses on computational issues, offering essential, never-discussed details of algorithmic elements and their implementation.

Real problems are formulated into tractable mathematical models, which allow for an analysis of various approaches. Attention is focused on solutions. Provides a unified treatment of the models discussed , presents a critique of the existing results, and points out potential research directions.

In a straightforward and approachable manner, this book introduces complementarity models, and uses them to carry out an in-depth analysis of energy markets, including formulation issues and solution techniques.