Bøger i International Series in Operations Research & Management Science serien

The Economic Order Quantity (EOQ) inventory model first appeared in 1913, and in its centennial, it is still one of the most important inventory models. It is organized into three parts: Part I presents three papers that provide an introduction and review of various EOQ related models.

In Linear Programming: A Modern Integrated Analysis, both boundary (simplex) and interior point methods are derived from the complementary slackness theorem and, unlike most books, the duality theorem is derived from Farkas's Lemma, which is proved as a convex separation theorem.

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

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

Decision Criteria and Optimal Inventory Processes provides a theoretical and practical introduction to decision criteria and inventory processes.

This handbook treatment not only traces the development of location analysis right up to today's state of the art, but also examines its application to a range of fields from geography and economics to more recent use in business and industrial engineering.

Dynamic Portfolio Strategies: Quantitative Methods and Empirical Rules for Incomplete Information investigates optimal investment problems for stochastic financial market models.

This examination of the history of major technologies in OR/MS, which have technically enabled and transformed us as a society, contains contributions from leading academics and practitioners that take a long-term perspective on developments in the field.

This self-contained book offers comprehensive coverage of linear programming, multiobjective programming, fuzzy programming, stochastic programming, and fuzzy stochastic programming, with applications in purchase and transportation planning for food retailing.

Grid resource management is the process of identifying requirements, matching resources to applications, allocating those resources, and scheduling and monitoring Grid resources over time in order to run Grid applications as efficiently as possible.

Dynamic Portfolio Strategies: Quantitative Methods and Empirical Rules for Incomplete Information investigates optimal investment problems for stochastic financial market models.

The generalized area of multiple criteria decision making (MCDM) can be defined as the body of methods and procedures by which the concern for multiple conflicting criteria can be formally incorporated into the analytical process.

This book presents an overview of the risks involved in modern electricity production, delivery and trading, including technical risk in production, transportation and delivery, operational risk for the system operators, market risks for traders, and political and other long term risks in strategic management.

Essays in Production, Project Planning and Scheduling

Patient Flow

In both rich and poor nations, public resources for health care are inadequate to meet demand. KEY WORDS Health care delivery, Health care planning HEALTH CARE DELIVERY: PROBLEMS AND CHALLENGES 3 1.1 WORLDWIDE HEALTH: THE PAST 50 YEARS Human health has improved significantly in the last 50 years.

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.

Chapter 12 discusses a DEA modeling technique for a two-stage network process where the inputs of the second stage include both the outputs from the first stage and additional inputs to the second stage. Chapter 21 presents an application of a two-stage network DEA model for examining the performance of 30 U.S. airline companies.

Expanding on the author's previous book, this volume details his recent work using a stochastic/intelligent medium approach to meet the need for systematic, real-time management decision-making in a changeable, fast-moving, and risk-prone environment.

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.

This book offers many-faceted, up-to-date coverage of decision analytic methods for allocation resources to 'lumpy' investment opportunities in firms and public organizations where investment goes beyond purely discrete financial entities.

This comprehensive book details elementary models and results in stochastic scheduling. It also presents the latest developments and research topics in the area.

This new edition focuses on three crucial areas of retail supply chain management: (1) empirical studies of retail supply chain practices, (2) assortment and inventory planning and (3) integrating price optimization into retail supply chain decisions.

Hidden Markov Models in Finance

Nonparametric Estimation of Educational Production and Costs using Data Envelopment Analysis

DEAFrontier Software Included

The author is one of the prominent researchers in the field of Data Envelopment Analysis (DEA), a powerful data analysis tool that can be used in performance evaluation and benchmarking.

Theoretically, financial risks models are models of a real and a financial "uncertainty", based on both common and private information and economic theories defining the rules that financial markets comply to.

This volume examines how to deal with localized social problems for which demographic and social characteristics of affected populations are salient. Examples include defining rules for registered sex offenders in search of homes, or allocating primary-care physicians in a state to ensure access to health care.

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.