Bøger i International Series in Operations Research & Management Science serien

Models and Methods in Economics and Management Science

Principles of Forecasting: A Handbook for Researchers and Practitioners summarizes knowledge from experts and from empirical studies. Contributions were written by 40 leading experts in forecasting, and the 30 chapters cover all types of forecasting methods.

The field of operations research has had a tremendous impact on the management of air transportation. This book shows some advances in optimization techniques and decision support systems applications in air transportation. It covers a variety of operations research topics in the air transportation industry.

Our objectives in writing Project Scheduling: A Research Handbook are threefold: (1) Provide a unified scheme for classifying the numerous project scheduling problems occurring in practice and studied in the literature;

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.

Developing some guiding principles to be used when evaluating alternative proposals for reorganizing the US electric power industry, this text contains preliminary versions of papers that were presented at a Workshop convened by the Electric Power Research Institute at Stanford University in 1997.

Planning, operating, and policy making in the electric utility and natural gas sectors involves important trade-offs among economic, social, and environmental criteria.

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

Multicriterion Decision in Management: Principles and Practice is the first multicriterion analysis book devoted exclusively to discrete multicriterion decision making.

Offers a mixture of theoretical, algorithmic, and application chapters providing examples of the work that Professor Keilson has done or influenced over the course of his highly-productive and energetic career in applied probability and stochastic processes.

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.

Quality, Warranty and Preventive Maintenance examines the impact of product quality on warranty and maintenance costs and strategies, from the perspectives of both manufacturers and users.

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

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.

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

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.

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 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.

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 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.

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.

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.

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.

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.

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.

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.

Performance evaluation and benchmarking are a widely used method to identify and adopt best practices as a means to improve performance and increase productivity, and are particularly valuable when no objective or engineered standard is available to define efficient and effective performance.

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.