From the Foreword by Marshall Fisher, The Wharton School, University of Pennsylvania: As generation of academics and practitioners follows generation, it is worthwhile to compile long views of the research and practice in the past to shed light on research and practice going forward. This collection of peer-reviewed articles is intended to provide such a long view. This book contains a collection of chapters written by leading scholars/practitioners who have continued their efforts in developing and/or implementing innovative OR/MS tools for solving real world problems. In this book, the contributors share their perspectives about the past, present and future of OR/MS theoretical development, solution tools, modeling approaches, and applications. Specifically, this book collects chapters that offer insights about the following topics: * Survey articles taking a long view over the past two or more decades to arrive at the present state of the art while outlining ideas for future research. Surveys focus on use of a particular OR/MS approach, e.g., mathematical programming (LP, MILP, etc.) and solution methods for particular family of application, e.g., distribution system design, distribution planning system, health care. * Autobiographical or biographical accounts of how particular inventions (e.g., Structured Modeling) were made. These could include personal experiences in early development of OR/MS and an overview of what has happened since. * Development of OR/MS mathematical tools (e.g., stochastic programming, optimization theory). * Development of OR/MS in a particular industry sector such as global supply chain management. * Modeling systems for OR/MS and their development over time as well as speculation on future development (e.g., LINDO, LINGO, and What'sBest!) * New applications of OR/MS models (e.g., happiness) The target audience of this book is young researchers, graduate/advanced undergraduate students from OR/MS and related fields like computer science, engineering, and management as well as practitioners who want to understand how OR/MS modeling came about over the past few decades and what research topics or modeling approaches they could pursue in research or application.

This book consolidates the current state of knowledge on implementing cooperating robot-based systems to increase the flexibility of manufacturing systems. It is based on the concrete experiences of experts, practitioners, and engineers in implementing cooperating robot systems for more flexible manufacturing systems. Thanks to the great variety of manufacturing systems that we had the opportunity to study, a remarkable collection of methods and tools has emerged. The aim of the book is to share this experience with academia and industry practitioners seeking to improve manufacturing practice. While there are various books on teaching principles for robotics, this book offers a unique opportunity to dive into the practical aspects of implementing complex real-world robotic applications. As it is used in this book, the term "cooperating robots" refers to robots that either cooperate with one another or with people. The book investigates various aspects of cooperation in the context of implementing flexible manufacturing systems. Accordingly, manufacturing systems are the main focus in the discussion on implementing such robotic systems. The book begins with a brief introduction to the concept of manufacturing systems, followed by a discussion of flexibility. Aspects of designing such systems, e.g. material flow, logistics, processing times, shop floor footprint, and design of flexible handling systems, are subsequently covered. In closing, the book addresses key issues in operating such systems, which concern e.g. decision-making, autonomy, cooperation, communication, task scheduling, motion generation, and distribution of control between different devices. Reviewing the state of the art and presenting the latest innovations, the book offers a valuable asset for a broad readership.

The fundamental motivation of this book is to contribute to the future advancement of Asset Management in the context of industrial plants and infrastructures. The book aims to foster a future perspective that takes advantage of value-based and intelligent asset management in order to make a step forward with respect to the evolution observed nowadays. Indeed, the current understanding of asset management is primarily supported by well-known standards. Nonetheless, asset management is still a young discipline and the knowledge developed by industry and academia is not set in stone yet. Furthermore, current trends in new organizational concepts and technologies lead to an evolutionary path in the field. Therefore, this book aims to discuss this evolutionary path, starting first of all from the consolidated theory, then moving forward to discuss: * The strategic understanding of value-based asset management in a company; * An operational definition of value, as a concept on the background of value-based asset management; * The identification of intelligent asset management, with the aim to frame a set of "tools" recommended to support the asset-related decision-making process over the asset lifecycle; * The emergence of new technologies such as cyber physical systems and digital twins, and the implications of this on asset management.

Present an up-to-date, consolidated view on modern cement manufacturing technology, applying new systems Provides narration of complexity and variables in modern cement plants and process Discusses evolution of automation and computerization for the process Covers application of ERP techniques to cement enterprises Includes data-driven approaches for energy, environment and quality management

The efficient functioning of modern society depends on the smooth operation of many complex systems which provide products and services. These include transport systems, communication systems, utilities, manufacturing plants, processing plants, hospitals and banks. Such systems are unreliable in the sense that they degrade with age and/or usage and fail when they are no longer capable of delivering the products and services. When a complex system fails, the consequences can be dramatic. It can result in serious economic losses, affect humans and do serious damage to the environment. These failures can be controlled through preventive maintenance actions.

Due to advances in the understanding of the physics of failure, and in the technologies used to combat this failure; the literature on maintenance of unreliable systems is vast. Complex System Maintenance Handbook is the first book to integrate this vast literature with chapters written by internationally-renowned active researchers and experienced practitioners focussing on different aspects of maintenance. Each chapter will review the literature dealing with a particular aspect of maintenance, report on developments and trends in a particular industry sector or present a case study.

Complex System Maintenance Handbook narrows the gap between theory and practice and will trigger new research on different aspects of maintenance. It will be of interest to maintenance engineers and managers working in industry as well as researchers and graduate students in the fields of maintenance, industrial engineering and applied mathematics.

- Written by world-leading subject specialist in both sport management and artificial intelligence - Includes interviews with elite sports managers and coaches - Examines the competitive advantages offered by AI to a wide-range of areas including Recruitment, Performance & Tactics, Health & Fitness, Pedagogy, Broadcasting, eSports, Gambling, and Stadium Design

This book should be of interest to students and practitioners of materials science, production engineering and engineering design.

This book presents the proceedings from the International Symposium for Production Research 2020. The cross-disciplinary papers presented draw on research from academics and practitioners from industrial engineering, management engineering, operational research, and production/operational management. It explores topics including: * computer-aided manufacturing; Industry 4.0 applications; simulation and modeling big data and analytics; flexible manufacturing systems; decision analysis quality management industrial robotics in production systems information technologies in production management; and optimization techniques. Presenting real-life applications, case studies, and mathematical models, this book is of interest to researchers, academics, and practitioners in the field of production and operation engineering.

This book presents a broad collection of models and computational methods - from atomistic to continuum - applied to crystal dislocations. Its purpose is to help students and researchers in computational materials sciences to acquire practical knowledge of relevant simulation methods. Because their behavior spans multiple length and time scales, crystal dislocations present a common ground for an in-depth discussion of a variety of computational approaches, including their relative strengths, weaknesses and inter-connections. The details of the covered methods are presented in the form of 'numerical recipes' and illustrated by case studies. A suite of simulation codes and data files is made available on the book's website to help the reader 'to learn-by-doing' through solving the exercise problems offered in the book.

Since 2007, the biennial International Conferences on Dynamics in Logistics (LDIC) offers researchersand practitioners from logistics, operations research, production, industrial and electrical engineering aswell as from computer science an opportunity to meet and to discuss the latest developments in thisparticular research domain. From February 23th to 25th 2022 for the eighth time, LDIC 2022 was held inBremen, Germany. Similar to its seven predecessors, the Bremen Research Cluster for Dynamics inLogistics (LogDynamics) organized this conference. The spectrum of topics reaches from the dynamicmodeling, planning and control of processes over supply chain management and maritime logistics toinnovative technologies and robotic applications for cyber-physical production and logistics systems.LDIC 2022 provided a forum for the discussion of advances in that matter. The conference programconsisted of keynote speeches and research papers selected by a severe double-blind reviewing process.Within these proceedings all the papers are published. By this, the proceedings give an interdisciplinaryoutline on the state of the art of dynamics in logistics as well as identify challenges and solutions forlogistics today and tomorrow.

This book summarizes the effect of COVID-19 on the global supply chain. Eminent researchers, practitioners, and professors discuss the challenges faced by supply chain providers and supply chain strategies related to various global, retail, fast moving consumer goods, humanitarian, pharmaceutical, and agricultural supply chains. This book also suggests the resilient approach adopted by supply chain organizations for quick recovery and re-establishing their networks. This book helps the readers explore the pandemic's impact on the supply chain and rebuilding the same using suitable approaches.

This book offers a concise and up-to-date introduction to the popular field of quantum information. It has originated in a series of invited lecture courses at various universities in different countries. This is reflected in its informal style of exposition and presentation of key results in the subject. In addition to treating quantum communication, entanglement and algorithms in great depth, this book also addresses a number of interesting miscellaneous topics, such as Maxwell's demon, Landauer's erasure, the Bekenstein bound, and Caratheodory's treatment of the Second Law of thermodyanmics. All mathematical derivations are based on clear physical pictures which make even the most involved results - such as the Holevo bound - look comprehensible and transparent. The book is ideal as a first introduction to the subject, but may also appeal to the specialist due to its unique presentation.

• Documents experiences of site managers in developing countries to improve the research and practice and ultimately safety performance of the construction industry • Essential reading for construction managers, researchers and academics in the field of safety management, infrastructure delivery and project management

This book deals with methodological issues in the field of management and industrial engineering. It aims to answer the following questions that researchers face every time they look to develop their research: How can we design a research project? What kind of paradigm should we follow? Should we develop a qualitative / phenomenological research or a quantitative / positivistic one? What technics for data collections can we use? Should we use the entire population or a sample? What kind of sampling techniques can we have? This book provides discussion and the exchange of information on principles, strategies, models, techniques, applications and methodological options possible to develop in research in management and industrial engineering. It communicates the latest developments and thinking on the research methodologies subject in the different areas, worldwide. It seeks cultural and geographic diversity in studies highlighting research methodologies that can be used in these different study areas. This book has a special interest in research on important issues that transcend the boundaries of single academic subjects. It presents contributions that challenge the paradigms and assumptions of individual disciplines or functions, with chapters grounded in conceptual and / or empirical literature. The main aim of this book is to provide a channel of communication to disseminate knowledge between academics and researchers, with a special focus on the management and industrial engineering fields. This book can serve as a useful reference for academics, researchers, managers, engineers, and other professionals in related matters with research methodologies. Contributors have identified the theoretical and practical implications of their methodological options to the development and improvement of their different study and research areas.

Concentration inequalities for functions of independent random variables is an area of probability theory that has witnessed a great revolution in the last few decades, and has applications in a wide variety of areas such as machine learning, statistics, discrete mathematics, and high-dimensional geometry. Roughly speaking, if a function of many independent random variables does not depend too much on any of the variables then it is concentrated in the sense that with high probability, it is close to its expected value. This book offers a host of inequalities to illustrate this rich theory in an accessible way by covering the key developments and applications in the field.
The authors describe the interplay between the probabilistic structure (independence) and a variety of tools ranging from functional inequalities to transportation arguments to information theory. Applications to the study of empirical processes, random projections, random matrix theory, and threshold phenomena are also presented.
A self-contained introduction to concentration inequalities, it includes a survey of concentration of sums of independent random variables, variance bounds, the entropy method, and the transportation method. Deep connections with isoperimetric problems are revealed whilst special attention is paid to applications to the supremum of empirical processes.
Written by leading experts in the field and containing extensive exercise sections this book will be an invaluable resource for researchers and graduate students in mathematics, theoretical computer science, and engineering.

This book discusses the rapidly growing interest in economic diversification through partnerships between industry, university and government (IUGP), with a focus on the economic diversification of the state of Qatar. It provides a comparative account of the knowledge ecosystem in the USA, Norway, Singapore and Qatar, and offers an evolutionary, national economic-transformational perspective on legislation, institutional and cultural settings, intermediary structures, and support programs. Providing a broad overview of the knowledge ecosystems in these countries, it is suitable for readers at various learning levels. It also includes case studies and a concise comparison of the Global Innovation Index (GII) of the four countries, and explores in detail the under-par comparative performance of Qatar, revealing that the country is still at the engagement level of IUGP. Further, it proposes evidence-based recommendations and strategies, making it a valuable resource for researchers, graduate students and policymakers.

This book reports on the implementation of evolutionary-game theory in the design of distributed optimization-based controllers. First, it discusses how the classical population-game approach can contribute to and complement the design of optimization-based controllers. It shows how the features of this approach can be exploited to extend their capabilities in the solution of distributed optimization problems, and examines density games in order to consider multiple coupled constraints and preserve the non-centralized information requirements. Furthermore, it establishes a close relationship between the possible interactions among agents in a population with constrained information sharing among different local controllers. It also discusses coalitional games, focusing on the Shapley power index and proposes an alternative method of computing the latter, which reduces computational time, as well as a different way of finding it using distributed communication structures. All the proposed strategies are then tested on various control problems, such as those related to the Barcelona water supply network, multiple continuous stirred tank reactors, various unmanned aerial vehicle systems, and a water distribution system. This thesis, examined at the Universitat Politecnica de Catalunya and Universidad de los Andes in 2017, received the award for best thesis in control from the control group of the Spanish Committee of Automatic Control (CEA) in the same year.

This textbook provides a comprehensive step-by-step guide for new public transport modelers. It includes an introduction to mathematical modeling, continuous and discrete optimization, numerical optimization, computational complexity analysis, metaheuristics, and multi-objective optimization. These tools help engineers and modelers to use better existing public transport models and also develop new models that can address future challenges. By reading this book, the reader will gain the ability to translate a future problem description into a mathematical model and solve it using an appropriate solution method. The textbook provides the knowledge needed to develop highly accurate mathematical models that can serve as decision support tools at the strategic, tactical, and operational planning levels of public transport services. Its detailed description of exact optimization methods, metaheuristics, bi-level, and multi-objective optimization approaches together with the detailed description of implementing these approaches in classic public transport problems with the use of open source tools is unique and will be highly useful to students and transport professionals.

This book presents recently developed intelligent techniques with applications and theory in the area of engineering management. The involved applications of intelligent techniques such as neural networks, fuzzy sets, Tabu search, genetic algorithms, etc. will be useful for engineering managers, postgraduate students, researchers, and lecturers. The book has been written considering the contents of a classical engineering management book but intelligent techniques are used for handling the engineering management problem areas. This comprehensive characteristics of the book makes it an excellent reference for the solution of complex problems of engineering management. The authors of the chapters are well-known researchers with their previous works in the area of engineering management.

On July 16, 1945 the first nuclear bomb was detonated at White Sands Proving Ground in New Mexico. The Trinity nuclear test forever changed the world. There were massive developments that arose from this huge event like Interstate Freeways and the Semi Automatic Ground Environment (SAGE). Additionally Systems Engineering emerged. It was matured and honed to such a level that many in the field started to view it as common sense. Unfortunately what might be considered common sense or just training from one perspective might be viewed as significant knowledge and education from another perspective. This knowledge was captured in the complex collection of for profit companies, non-profit companies, think tanks, and national labs. Now we are faced with the dilemma that many of these institutions have disappeared and many of the practitioners have died. This book is an attempt to capture some of this knowledge and pass it to the next generation.