Bøger i International Series in Operations Research & Management Science serien

The Practice of Supply Chain Management: Where Theory and Application Converge is a must-have volume for users of supply chain management methods, supply chain management researchers, and students in supply chain management.

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.

Using simplified notation and revealing unifying concepts, this book covers flow shop systems including two-machine, flexible and stochastic, and examines the reentrant flow shop, in which a job may be reprocessed at the same station or sequence of stations.

Critical Infrastructures: State of the Art in Research and Application, comprising a selection of reviewed and edited contributions from all over the world, aims to shed light on the various aspects of critical infrastructures.

The principle aim of this book, entitled "Operations ResearchlManagement Science at Work", is to provide a summary snapshot of recent research in and applications of Operations Research (OR)/ Management Science (MS) in the Asia-pacific region.

Analysis and Modeling of Manufacturing Systems is a set of papers on some of the newest research and applications of mathematical and computational techniques to manufacturing systems and supply chains.

The book demonstrates that scheduling must be combined with project selection and financing, and that scheduling helps to give an answer to the planning issue of the amount of resources required for a project.

Convexity of sets in linear spaces, and concavity and convexity of functions, lie at the root of beautiful theoretical results that are at the same time extremely useful in the analysis and solution of optimization problems, including problems of either single objective or multiple objectives.

Multiple criteria decision-making research has developed rapidly and has become a main area of research for dealing with complex decision problems which require the consideration of multiple objectives or criteria.

This tremendous research activity has been prompted by the discovery of important applications in combinatorial optimization and control theory, the development of efficient interior-point algorithms for solving SDP problems, and the depth and elegance of the underlying optimization theory.

Strategies for Quasi-Monte Carlo builds a framework to design and analyze strategies for randomized quasi-Monte Carlo (RQMC).

Project scheduling problems are, generally speaking, the problems of allocating scarce resources over time to perform a given set of activities. ), Advances in Project Scheduling, Elsevier, 1989, summarizing the state-of-the-art across project scheduling problems, was published.

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.

Problems with multiple objectives and criteria are generally known as multiple criteria optimization or multiple criteria decision-making (MCDM) problems.

Thus firms must weigh the benefits of product variety against its cost in order to determine the optimal level of product variety to offer to their customers. How can a company exploit its product and process design to deliver a higher level of product variety quickly and cheaply?

3 The M 1M IS System with Last Come, First Served 50 3. 6 3. 8 56 4 ERLANGIAN QUEUEING SYSTEMS 59 4. 3 The System E/cl Mil 67 4. 5 Problems for Solution 74 PRIORITY SYSTEMS 79 5 5. 6 Problems for Solution 93 6 QUEUEING NETWORKS 97 6. 3 Closed Networks 103 Open Networks: The Product Formula 104 6. 5 Jackson Networks 111 6.

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 summarizes supply chain literature, offering approaches for mitigating supply chain risk and using industry examples and cases to highlight important concepts. Discusses ways to restore and stabilize supply chain operations after a major disruption.

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 book summarizes a line of research that maps certain classical problems of discrete mathematics and operations research - such as the Hamiltonian cycle and the Travelling Salesman problems - into convex domains where continuum analysis can be carried out.

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.

This Handbook on Semidefinite, Conic and Polynomial Optimization provides the reader with a snapshot of the state-of-the-art in the growing and mutually enriching areas of semidefinite optimization, conic optimization, and polynomial optimization.

This volume could provide an excellent introduction to the field of operations research applied to health-care policy, and it could also serve as an introduction to new areas for researchers already familiar with the topic.The book is divided into six sections.

This book reviews theories of waiting lines including exposition distributions and generating functions, the M/G/1 model, priority queues, continuous-time Markov processes, memoryless queues and two-dimensional queueing models. Includes chapter-end exercises.

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 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 book offers a practitioner's guide to the extensive and comprehensive use of data, data analysis, explanatory and predictive models and methods, and management based on facts, in support of business decisions and actions. Includes real-world case studies.

The papers cover a great variety of topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others.