Operational research

This book presents the latest trends and developments in multimodal optimization and niching techniques.

This book constitutes the proceedings of the Third International Conference on Decision Support Systems, ICDSST 2017, held in Namur, Belgium, in May 2017.

In this book, Dr.

This volume is the second (II) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT).

This book explores a new framework of Adaptive Water Management (AWM) for evaluating existing approaches in urban water management.

This book explores the impact of industry 4.

Industry 4.

This book presents papers based on the presentations and discussions at the international workshop on Big Data Smart Transportation Analytics held July 16 and 17, 2016 at Tongji University in Shanghai and chaired by Professors Ukkusuri and Yang.

This book highlights quantitative risk assessment and modeling methods for assessing health risks caused by air pollution, as well as characterizing and communicating remaining uncertainties.

Durable strategies that have prolonged effects are prevalent in real-world situations.

A seminal collection of research methodology themes, this two-volume work provides a set of key scholarly developments related to robustness, allowing scholars to advance their knowledge of research methods used outside of their own immediate fields.

This textbook teaches the basic concepts and methods of project management but also explains how to convert them to useful results in practice.

This book systematically studies the stochastic non-cooperative differential game theory of generalized linear Markov jump systems and its application in the field of finance and insurance.

This new Edition of Electronic Commerce is a complete update of the leading graduate level/advanced undergraduate level textbook on the subject.

The book is intended for graduate students and researchers in mathematics, computer science, and operational research.

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

This book examines current and emerging challenges in manufacturing related to the ideal of developing production processes with variability and agility on one level of the system, combined with structures ensuring stability and robustness on another level; close to what by other scholars has been discussed in terms of continuous innovation.

This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs.

This book offers a comprehensive introduction to fuzzy methods for solving flow tasks in both transportation and networks.

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

This book constitutes the proceedings of the 4th International Conference on Decision Support Systems, ICDSST 2018, held in Heraklion, Greece, in May 2018.

The book takes the inventory control perspective to tackle empty container repositioning logistics problems in regional transportation systems by explicitly considering the features such as demand imbalance over space, dynamic operations over time, uncertainty in demand and transport, and container leasing phenomenon.

This book outlines the latest trends in the use of multicriteria analysis in agriculture by highlighting recent applications for modeling agricultural decision-making.

This monograph studies voting procedures based on the probability that paradoxical outcomes like the famous Condorcet Paradox might exist.

In scheduling theory, the models that have attracted considerable attention during the last two decades allow the processing times to be variable, i.

This book is a tribute to Professor Pedro Gil, who created the Department of Statistics, OR and TM at the University of Oviedo, and a former President of the Spanish Society of Statistics and OR (SEIO).

This book covers topics in portfolio management and multicriteria decision analysis (MCDA), presenting a transparent and unified methodology for the portfolio construction process.

This book reviews the development of physics-based modeling and sensor-based data fusion for optimizing medical decision making in connection with spatiotemporal cardiovascular disease processes.

Management of supply chains has been evolving rapidly over the last few years due to the inception of Industry 4.

Intended for advanced undergraduate/graduate students as well as scientists and engineers, this textbook presents a multi-disciplinary view of optimization, providing a thorough examination of algorithms, methods, techniques, and tools from diverse areas of optimization.

This book offers a structured framework for critical thinking and decision making that shows how to use hindsight, insight, and foresight to navigate through complexity.

This Palgrave Pivot presents tournament design mainly within the axioms of incentive compatibility and fairness.

This book offers new transparent views and step-by-step methods for performance evaluation of a set of units using Data Envelopment Analysis (DEA).

This book examines the different motivational policies used for inventory management.

This proceedings volume highlights the state-of-the-art knowledge related to optimization, decisions science and problem solving methods, as well as their application in industrial and territorial systems.

This book reports on the latest advances in understanding human cognition and its interplay with various cultural constructs, such as geographical, historical, sociological, and organizational cultures.

This book is about discrete-time, time-homogeneous, Markov chains (Mes) and their ergodic behavior.

This volume is dedicated to Bill Helton on the occasion of his sixty fifth birthday.

The theory of optimization, understood in a broad sense, is the basis of modern applied mathematics, covering a large spectrum of topics from theoretical considerations (structure, stability) to applied operational research and engineering applications.

The main goal of this book is to introduce readers to functional analysis methods, in particular, time dependent analysis, for reliability models.

This work prepares current and future managers and consultants focused on health care delivery systems to improve the efficiency of processes that deliver care.

This book aims to stimulate debate in the growing and highly controversial area of measuring scholarly work.

This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science.

This book provides insights from research and practice in how organizations were able to sustain resilience in their global supply chains during the COVID-19 pandemic and to advance the understanding of supply chain risk management.

This textbook provides a comprehensive overview of noncooperative and cooperative dynamic games involving uncertain parameter values, with the stochastic process being described by an event tree.

This book presents contributions to the 50th Annual Conference of the Operations Research Society of South Africa (ORSSA), which was jointly hosted with the African Federation of Operations Research Societies (AFROS) at North-West University in Potchefstroom, South Africa from 12 to 15 September, 2021.

This monograph introduces a novel multiset-based conceptual, mathematical and knowledge engineering paradigm, called multigrammatical framework (MGF), used for planning and scheduling in resource-consuming, resource-producing (industrial) and resource-distributing (economical) sociotechnological systems (STS).

Addressing the entire care chain, this book presents the outcomes of advanced research on healthcare operations management based on real-world data and practices in China.

The book discusses the study and implementation of controlling in the modern enterprise from the perspective of Industry 4.

This monograph presents a comprehensive treatment of the maximum-entropy sampling problem (MESP), which is a fascinating topic at the intersection of mathematical optimization and data science.