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This textbook on Linear and Nonlinear Optimization is intended for graduate and advanced undergraduate students in operations research and related fields.

Fundamental Theories of Mega Infrastructure Construction Management: Theoretical Considerations from Chinese Practices is a collection of decades of research and applications of managing megaprojects using theories of complex systems and management sciences.

This electroniccompanion contains models of problems to be solved built in Excel spreadsheetfiles.Optimizationmodels are too often oversimplifications of decision problems met in practice.

In scheduling theory, the models that have attracted considerable attention during the last two decades allow the processing times to be variable, i.e., to be subjected to various effects that make the actual processing time of a job dependent on its location in a schedule.

This book deals with complex problems in the fields of logistics and supply chain management and discusses advanced methods, especially from the field of computational intelligence (CI), for solving them.

This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL).

Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis

This book includes case studies that examine the application of operations research to improve or increase efficiency in industry and operational activities.

This book begins with a review of basic results in optimal search for a stationary target. Next it develops methods for computing optimal search plans involving multiple targets and multiple searchers with realistic operational constraints on search movement.

This third edition, which has been fully updated and now includes improved and extended explanations, is suitable as a core textbook as well as a source book for industry practitioners.

This is a new edition of Kleijnen's advanced expository book on statistical methods for the Design and Analysis of Simulation Experiments (DASE).

It is possible to go directly into Parts II and III omitting Part I, and, in fact, the book has been used in this way in many universities.New to this edition is a chapter devoted to Conic Linear Programming, a powerful generalization of Linear Programming.

Contract Analysis and Design for Supply Chains with Stochastic Demand

Nonparametric Estimation of Educational Production and Costs using Data Envelopment Analysis

This book provides an introduction to incorporating preference information in Data Envelopment Analysis (DEA) with a special emphasis in Value Efficiency Analysis. Some extensions are presented in Chapter 9, and in Chapter 10 Value Efficiency is extended to cover the case when a production possibility set is not convex.

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.

DEAFrontier Software Included

This book provides up-to-date analytical tools to address challenging operational problems in renewable energy production facilities, such as wind- and solar-based generation units. It includes many illustrative examples.

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.

Connecting mathematical representations of music to computational problem-solving, the author's spiral array geometric model for tonality benefits from his unique perspective-as concert pianist and successful PhD candidate in operations research.

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.

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

This book covers modeling, programming and analysis of simulation experiments and offers a rigorous treatment of the foundations of simulation and why it works. Emphasizes lasting principles, includes end of chapter exercises and an online manual of solutions.

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.

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.

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.

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.