Bøger i International Series in Operations Research & Management Science serien

The Pipeline and Hazardous Materials Safety Administration of the U.S. Department of Transportation defines hazardous materials (hazmat) as a substance or material capable of posing an unreasonable risk to health, safety, or property when transported in commerce.

Game Theoretic Risk Analysis of Security Threats introduces reliability and risk analysis in the face of threats by intelligent agents.

As technocratic public policy analysis approaches evolve to include greater sensitivity to political contexts, this volume synthesizes these former methods with new multi-actor, multiple perspective and poly-centric modes of analysis that are more inclusive.

This book provides a broad and interdisciplinary foundation to engineering risks and to their financial valuation and pricing. It uses both narrative and mathematical techniques and includes numerous examples and applications.

The chapters in this category focus on introducing basic concepts, providing mathematical background and validating algorithmic tools to solve operational problems in supply chains. The chapters in this category explicitly model the effect of information on decision-making and on supply chain performance.

Book I considers the zero-sum game that results when the target (here called the Hider) does not want to be found. In this case the Searcher and the Hider can be thought of as a team of agents (simply called Player I and Player II) with identical aims, and the coordination problem they jointly face is called the Rendezvous Search Problem.

In the foreword to Supply Chain Structures, Professor Paul Zipkin notes three global changes that have enabled the recent vast developments in the field of supply chains.

Learning plays a fundamental role in the production planning and growth of all organizations. Human Learning:From Learning Curves to Learning Organizations covers a broad range of learning models and related topics beginning with learning curves to recent research on learning organizations.

Markov modeling has found applications in many areas, three of which are described in detail: Chapter 10 analyzes discrete-time queues, Chapter 11 describes networks of queues, and Chapter 12 deals with reliability theory.

Perishable Inventory Systems explores the benefits of a periodic review versus continuous review, and a look at a one-period newsvendor perishable inventory model. Topics include one-for-one policies, models with zero lead time, and optimal policies with positive lead time.

This is a concise, readable introduction to the science and art of using modeling in logic for integer programming. References for further study are given at the end of each chapter, exercises are included, and applications in diverse fields are discussed.

Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order multivariate models, and higher-order hidden models. In each case, the focus is on the important kinds of applications that can be made with the class of models being considered in the current chapter. Special attention is given to numerical algorithms that can efficiently solve the models.Therefore, Markov Chains: Models, Algorithms and Applications outlines recent developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, DNA sequences, genetic networks, data mining, and many other practical systems.

This book defines the parameters of the emerging business strategy of mass customization, covering the main categories in a systematic examination of: manufacturing systems and mass customization;

This book concentrates on real-world production scheduling in factories and industrial settings. Its purpose is to present scheduling principles, advanced tools, and examples of innovative scheduling systems to persons who could use this information to improve their own production scheduling.

It further covers the range of the key models in the field, including deterministic, probabilistic, single- and multi-mode, single- and multi-objective, and a general model on discrete-continuous resources.

It presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. The book is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday, in view of his distinguished career.

This book will help readers to better manage supply chains in emerging economics. It addresses a host of issues and challenges, from infrastructure constraints and the logistics inefficiencies to contributing to the social and environmental developments of emerging economies.

This book is written by leading scholars in Network Science, Nonlinear Science and Infrastructure Systems, expressly to develop common theoretical underpinnings for better solutions to modern infrastructural problems.

As supply chain management has matured, maintaining the precise flow of goods to manage schedules (and minimize inventories) on a just-in-time basis still presents major challenges.

Since the introduction of system signatures in Francisco Samaniego's 1985 paper, the properties of this technical concept have been examined, tested and proven in a wide variety of systems applications.

There are few more urgent topics in today's world, so full of ecological uncertainty. Hydropower Economics uses various econometric measures to examine sustainable alternative energy sources. Forsund has extended his model to include thermal power and wind power, too - forms of alternative energy that are taking on an ever larger profile.

This is the first book in the field that uses the power of the basic models and principles to provide students and managers with an "intuitive understanding" of operations management. Some of the very biggest names in the Management Science field have developed and carefully written these chapters on the field's basic models.

This updated edition expands and illuminates the connection between the purely analytical character of an optimization problem, expressed by properties of the necessary conditions, and the behavior of algorithms used to solve a problem.

Moreover, the risk of uncertain demand can cut two ways: (1) there is the risk that unexpected demand will not be met on time, and the reverse problem (2) the risk that demand is over estimated and excessive inventory costs are incurred.

This volume offers a framework to study the interaction of various factors related to risk and their influence on supply chain management. The scope of area covered includes operations management, decision analysis and business administration.

Written by a leading expert in Mathematical Programming methods, this book introduces students to the conceptual ideas of Linear Programming methodology and its generalizations. The book has a distinct application focus with emphasis on application problems.

This book presents contributions dedicated to applied problems in the financial and energy sectors that have been formulated and solved in a stochastic optimization framework. Coverage also extends to theoretical and computational issues.

Data Envelopment Analysis

Focusing on extensively used Data Envelopment Analysis topics, this volume aims to both describe the state of the field and extend the frontier of DEA research. New chapters include DEA models for DMUs, network DEA, models for supply chain operations and applications, and new developments.

Although people from many disciplines routinely use OR methods, many scientific researchers, engineers, and others do not understand basic OR tools and how they can help them.