Operational research

This book introduces readers to multicriteria decision aiding (MCDA) interventions used in complex situations.

This book presents recent advances in the theory and application of the Best-Worst Method (BWM).

How much risk should we take?

Decision-making Support Systems (DMSS) are computer-based systems that support individual or organisational decision-making processes.

Developing economies such as those in sub-Saharan Africa are searching for realistic economic policy prescriptions.

Services requiring parts has become a $1.

Uncertainty has been of concern to engineers, managers and .

This book examines seven key combinatorial engineering frameworks (composite schemes consisting of algorithms and/or interactive procedures) for hierarchical modular (composite) systems.

This book contributes to the theoretical discussions of equilibria that rest on error-in which we include mistaken choices of games to play.

In companies that produce goods and services, productivity and efficiency improvements are a constant challenge.

The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades.

This book provides a coherent description of the main concepts and statistical methods used to analyse economic performance.

This book offers the first introduction to the concepts, theories, and applications of pricing and revenue optimization.

This book provides an interdisciplinary concept of digital working environments in industry 4.

This collection of articles aspires to be a permanent record of ideas which are likely to become important determinants in the future of management sciences.

There are many invaluable books available on data mining theory and applications.

This tutorial introduces readers to several variants of routing problems with profits.

The figure of the entrepreneur has become a relevant factor that explains the process of growth and economic development.

This 2nd edition is a thoroughly revised and augmented version of the book with the same title published in 1999.

This book provides comprehensive coverage of the latest research on multiple criteria research analysis (MCDA) and related areas, gathering a collection of high-quality chapters prepared by leading scholars in the field.

Introductory courses in combinatorial optimization are popular at the upper undergraduate/graduate levels in computer science, industrial engineering, and business management/OR, owed to its wide applications in these fields.

Urban Freight Analytics examines the key concepts associated with the development and application of decision support tools for evaluating and implementing city logistics solutions.

N COMPUTER applications we are used to live with approximation.

This book explores the methodological and application developments of network design in transportation and logistics.

Evidence-Based Decision-Making: How to Leverage Available Data and Avoid Cognitive Biases examines how a wide range of factual evidence, primarily derived from a variety of data available to organizations, can be used to improve the quality of business decision-making, by helping decision makers circumvent the various cognitive biases that adversely impact how we all think.

Environmental decisions must satisfy a multitude of objectives and the matching of a plan, policy or project to such objectives is a matter of both facts and value judgements.

This book brings together studies broadly dealing with human error from different disciplines and perspectives.

The European Conference on Complex Systems, held under the patronage of the Complex Systems Society, is an annual event that has become the leading European conference devoted to complexity science.

This book provides an interdisciplinary concept of digital working environments in industry 4.

How People Negotiate brings together a set of negotiation stories, accompanied by an integrative overview.

Industry consolidation, mergers, changes to business models, the emergence of new threats all require managers to understand highly complex situations, assess risk and opportunity and make informed decisions.

This book provides a comprehensive introduction to nonlinear programming, featuring a broad range of applications and solution methods in the field of continuous optimization.

Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization, computational intelligence, soft computing and data science.

Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization.

Mathematical models are being increasingly used to estimate the concentrations of a wide range of substances in the environment for a variety of reasons, including government control and legislation, and risk and hazard estimation.

This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs.

This book examines relationships between pairwise comparisons matrices.

Production scheduling dictates highly constrained mathematical models with complex and often contradicting objectives.

This book systematically examines and quantifies industrial problems by assessing the complexity and safety of large systems.

Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language.

Offers deal-makers techniques to access mutually beneficial solutions that cannot make their way to the bargaining table without a cooperative strategy that enables the parties to together with mutual benefit and success.

This book offers a concise yet comprehensive introduction to supply chain resilience, covering management, modeling and technology perspectives.