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Operations Research ’92
The 17th Symposium on Operations Research was held at Universität der Bundeswehr Hamburg, August 25-28, 1992, as the annual meeting of the Gesellschaft für Mathematik, Ökonomie und Operations Research (GMÖOR). The aim of this book is to provide a timely and comprehensive documentation of the symposium's scientific activities. It contains extended abstracts of most of the papers presented there. The symposium fell into twelve sections and an overlapping cross-section workshop. The sections covered established fields of theory and application such as (1) Mathematical Modelling in OR, (2) Stochastic Models of OR, (3) Combinatorial Optimization and Discrete Mathematics, (4) Linear and Non-Linear Optimization, (5) Systems and Control Theory, (6) Decision Support and Information Systems, (7) Applications in Business and Economics, (8) Econometrics and Statistics, (9) Micro-Economics and Game Theory, Macro-Economics and Applied Economics, Decision Theory, Utility and Risk, Banking, Finance and Insurance. As a novelty and an experiment, a cross-section workshop on Environmental Systems and Economics had been included in the program which was devoted to a topic of current political and scientific interest.
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Operations Research Proceedings 2019
This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2019), which was held at Technische Universität Dresden, Germany, on September 4-6, 2019, and was jointly organized by the German Operations Research Society (GOR) the Austrian Operations Research Society (ÖGOR), and the Swiss Operational Research Society (SOR/ASRO). More than 600 scientists, practitioners and students from mathematics, computer science, business/economics and related fields attended the conference and presented more than 400 papers in plenary presentations, parallel topic streams, as well as special award sessions.The respective papers discuss classical mathematical optimization, statistics and simulation techniques. These are complemented by computer science methods, and by tools for processing data, designing and implementing information systems. The book also examines recent advances in information technology, which allow big data volumes to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it includes problems modeled and treated while taking into account uncertainty, risk management, behavioral issues, etc.
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Operations Research in the Airline Industry
260 2 Crew Legalities and Crew Pairing Repair 264 3 Model and Mathematical Formulation 266 4 Solution Methodology 271 5 Computational Experiences 277 6 Conclusion 285 REFERENCES 286 10 THE USE OF OPTIMIZATION TO PERFORM AIR TRAFFIC FLOW MANAGEMENT Kenneth Lindsay, E. Andrew Boyd, George Booth, and Charles Harvey 287 1 Introduction 288 2 The Traffic Flow Management (TFM) Problem 289 3 Recent TFM Optimization Models 292 4 The Time Assignment Model (TAM) 302 5 Summary and Conclusions 307 REFERENCES 309 11 THE PROCESSES OF AIRLINE SYSTEM OPERATIONS CONTROL Seth C. Grandeau, Michael D. Clarke, and Dennis F.X. Mathaisel 312 1 Introduction 313 2 The Four Phases of Airline Schedule Development 315 The Airline Operations Control Center (OCC) 3 320 4 Analysis of Operational Problems 331 5 Areas For Improvement 352 6 Case Study: PT Garuda Indonesia Airlines 357 REFERENCES 368 12 THE COMPLEX CONFIGURATION MODEL Bruce W. Patty and Jim Diamond 370 1 Introduction 370 Problem Description 2 371 Problem Formulation 3 375 4 Model Implementation 379 ix Contents 383 5 Summary REFERENCES 383 13 INTEGRATED AIRLINE SCHEDULE PLANNING Cynthia Barnhart, Fang Lu, and Rajesh Shenoi 384 1 Introduction 385 2 Fleet Assignment and Crew Pairing Problems: Existing M- els and Algorithms 388 3 An Integrated Approximate Fleet Assignment and Crew Pa- ing Model 393 4 An Advanced Integrated Solution Approach 395 5 Case Study 396 6 Conclusions and Future Research Directions 399 REFERENCES 401 14 AIRLINE SCHEDULE PERTURBATION PROBLEM: LANDING AND TAKEOFF WITH
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Operations Research for Libraries and Information Agencies
This book is intended for those in the library community with an understanding of library processes and a desire to make use of scientific management techniques. The emphasis is on presenting insights into which tool may be appropriate for particular problems, not on the isolated understanding of theoretical issues - the book does not require an extensive mathematical background. it shows examples of solving library problems and features chapter summaries and questions for further study.
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Operations Research and Systems Engineering
This book presents an overview of operations research and systems engineering and takes a look into both fields on content, histories, contributions, and future directions so a sound career choice can be made for those who might be deciding on a career path. The book also offers how these two fields can be integrated and used in current times and into the future. Operations Research and Systems Engineering: Growth and Transformation traces the history of both fields of research as well as offers comments on the importance of both areas of study. By taking a look back with a historical perspective and also looking forward with the presentation of applications currently being used, someone looking to make a sound career choice will be able to decide which area they want to move towards. The book also offers how to integrate both operations research methods with systems engineering concepts and tools and provides a comparison between the two, along with how they can work together in the future. The goal of this book is to provide the reader with enough information so they can move forward with their career goals. It is also an ideal book that provides engineers, scientists, and mathematicians with a way to broaden their knowledge and areas of study.
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Operations Research/Management Science at Work
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. The book emphasises research having potential industry interest, covering a wide range of topics from major fields of ORIMS in a systematic and coherent fashion and shows the elegance of their implementations. The book is intended to serve the needs of applied researchers who are interested in applications of ORIMS algorithms. The book includes descriptions of many real-world problems together with their solutions; we hope the reader will appreciate their applicability. The Asia-pacific region has embraced business applications of decision support systems in recent years. Given that many of these applications are unaffected by legacy models or systems it has meant that state of the art ORIMS techniques have been embedded in them. Moreover, the increased use of OR/MS techniques in this region provides opportunities for identifying methodological advances that are taking place as a result of the unique nature of the applications. These also provide opportunities for exploring synergies and interfaces that exist between OR/MS, from the point of view of applications as well as theoretical advances.
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Optimization Theory, Decision Making, and Operations Research Applications
These proceedings consist of 30 selected research papers based on results presented at the 10th Balkan Conference & 1st International Symposium on Operational Research (BALCOR 2011) held in Thessaloniki, Greece, September 22-24, 2011. BALCOR is an established biennial conference attended by a large number of faculty, researchers and students from the Balkan countries but also from other European and Mediterranean countries as well. Over the past decade, the BALCOR conference has facilitated the exchange of scientific and technical information on the subject of Operations Research and related fields such as Mathematical Programming, Game Theory, Multiple Criteria Decision Analysis, Information Systems, Data Mining and more, in order to promote international scientific cooperation. The carefully selected and refereed papers present important recent developments and modern applications and will serve as excellent reference for students, researchers and practitioners in these disciplines.
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Business Statistics Using Excel
This book gives readers hands-on understanding of Excel assisted statistical techniques to take effective business decisions. It showcases applications of the tools and techniques of statistics for analysing business data from the domain of business statistics.The volume provides an exhaustive introduction to the application of statistics in solving business problems and implement data analytics for effective decision making in all kinds of business situations around the world. With an emphasis for simplicity in presentation of concepts of statistical methods and associated Excel functions, the volume explores the implementation of Excel functions through well-defined sequence of steps. It covers an array of key topics which includes,- Discussions on real world problems, decision support systems, scope of business statistics, types, and steps of research;- Introduction to excel and its mathematical and preliminary statistical functions, usage of different types of average function, mean, median and mode functions, measures of variation, measures of skewness of Excel;- In depth discussions on probability distributions, sampling distributions, testing of hypothesis, chi-square test, non-parametric test of Excel;- Extensive coverage on correlation and covariance, forecasting, Analysis of Variance, charts of Excel, and- Analysis of concept of linear programming, problem formulations, and techniques of linear programming, followed by the application of Excel.Comprehensive in scope and simple in approach, this book will be key for students and researchers of business studies, business administration, economics, finance, commerce, data analytics/ science, computer science. This will also serve as useful guidebook for business executives and working professionals across the globe.
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Applied Operations Research and Financial Modelling in Energy
This book on Applied Operations Research and Financial Modelling in Energy (AORFME) presents several applications of operations research (OR) and financial modelling. The contributions by a group of OR and Finance researchers focus on a variety of energy decisions, presenting a quantitative perspective, and providing policy implications of the proposed or applied methodologies. The content is divided into three main parts: Applied OR I: Optimization Approaches, Applied OR II: Forecasting Approaches and Financial Modelling: Impacts of Energy Policies and Developments in Energy Markets. The book appeals to scholars in economics, finance and operations research, and to practitioners working in the energy sector. This is the eighth volume in a series of books on energy organized by the Centre for Energy and Value Issues (CEVI). For this volume, CEVI collaborated with Hacettepe University’s Energy Markets Research and Application Center. The previous volumes in the series are: Financial Aspects in Energy (2011), Energy Economics and Financial Markets (2012), Perspectives on Energy Risk (2014), Energy Technology and Valuation Issues (2015), Energy and Finance (2016), Energy Economy, Finance and Geostrategy (2018), and Financial Implications of Regulations in the Energy Industry (2020).
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Using Statistics in the Social and Health Sciences with SPSS and Excel
Provides a step-by-step approach to statistical procedures to analyze data and conduct research, with detailed sections in each chapter explaining SPSS® and Excel® applications This book identifies connections between statistical applications and research design using cases, examples, and discussion of specific topics from the social and health sciences. Researched and class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations for both the novice and professional alike to understand the fundamental statistical practices for organizing, analyzing, and drawing conclusions from research data in their field. The book begins with an introduction to descriptive and inferential statistics and then acquaints readers with important features of statistical applications (SPSS and Excel) that support statistical analysis and decision making. Subsequent chapters treat the procedures commonly employed when working with data across various fields of social science research. Individual chapters are devoted to specific statistical procedures, each ending with lab application exercises that pose research questions, examine the questions through their application in SPSS and Excel, and conclude with a brief research report that outlines key findings drawn from the results. Real-world examples and data from social and health sciences research are used throughout the book, allowing readers to reinforce their comprehension of the material. Using Statistics in the Social and Health Sciences with SPSS® and Excel® includes: Use of straightforward procedures and examples that help students focus on understanding of analysis and interpretation of findingsInclusion of a data lab section in each chapter that provides relevant, clear examplesIntroduction to advanced statistical procedures in chapter sections (e.g., regression diagnostics) and separate chapters (e.g., multiple linear regression) for greater relevance to real-world research needs Emphasizing applied statistical analyses, this book can serve as the primary text in undergraduate and graduate university courses within departments of sociology, psychology, urban studies, health sciences, and public health, as well as other related departments. It will also be useful to statistics practitioners through extended sections using SPSS® and Excel® for analyzing data.
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Einführung in das Operations Research
J. Aufgaben des Operations Research Das Operations Research befaßt sich mit der Anwendung mathematischer Methoden zur Vorbereitung von Entscheidungen, die optimal im Sinne gewisser Zielsetzungen sein sol len. Dabei versucht man, reale Probleme, etwa der Volks-oder Betriebswirtschaft, durch mathematische Modelle zu beschreiben. In diesen Modellen, oft Systeme von Gleichungen und Ungleichungen, wird' das Problem gelöst. Das Ergebnis kann dann als Entscheidungs kriterium für die reale Fragestellung herangezogen werden. Es ist im allgemeinen recht schwierig zu entscheiden, mit welchem mathematischen Modell ein konkretes Problem zu behandeln ist, denn häufig müssen bei der Modellbil dung Vereinfachungen vorgenommen werden, die erst eine mathematische Formulierung erlauben. Die Art und der Grad der Simplifizierung beeinflussen zum einen das Modell, zum anderen aber auch die Aussagefähigkeit des gewählten Modells beim Rü'kschluß auf die Realität. Eine weitere Schwierigkeit bei der Modellbildung liegt in der Beschaffung von Daten, die es unmöglich, sämtliche charakteristischen Größen das System beschreiben sollen. Oft ist B. Größen, die von menschlichem Verhalten abhängen). Manch quantitativ zu erfassen (z. h. mit einer gewissen Streubreite, angegeben mal können die Daten auch nur ungefähr, d. werden. Ziel dieser Einführung in das Operations Research soll sein, die verschiedenen mathemati schen Modelle mit ihren Hauptanwendungsgebieten und typischen Beispielen vorzustel len. Teil B befaßt sich mit deterministischen Modellen, speziell der linearen Programmie rung. Der Teil C gibt einen Überblick über probabilistische Modelle, also solche Modelle, die die Unsicherheit der Daten in Betracht ziehen.
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Operations Research, Engineering, and Cyber Security
Mathematical methods and theories with interdisciplinary applications are presented in this book. The eighteen contributions presented in this Work have been written by eminent scientists; a few papers are based on talks which took place at the International Conference at the Hellenic Artillery School in May 2015. Each paper evaluates possible solutions to long-standing problems such as the solvability of the direct electromagnetic scattering problem, geometric approaches to cyber security, ellipsoid targeting with overlap, non-equilibrium solutions of dynamic networks, measuring ballistic dispersion, elliptic regularity theory for the numerical solution of variational problems, approximation theory for polynomials on the real line and the unit circle, complementarity and variational inequalities in electronics, new two-slope parameterized achievement scalarizing functions for nonlinear multiobjective optimization, and strong and weak convexity of closed sets in a Hilbert space. Graduate students, scientists, engineers and researchers in pure and applied mathematical sciences, operations research, engineering, and cyber security will find the interdisciplinary scientific perspectives useful to their overall understanding and further research.
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Advances in Industrial Engineering and Operations Research
This volume contains contributions from prominent researchers who participated in the 2007 IAENG International Conference on Operations Research. It presents theories and applications of modern industrial engineering and operations research to meet the needs of rapidly developing fields. The book reflects the tremendous advances in communication systems and electrical engineering and also serves as an excellent reference work for researchers and graduate students.
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Operations Research Proceedings 2004
These proceedings provide information on the most recent advances in operations research and related areas in economics, mathematics, and computer science, contributed by academics and practitioners from around the world.
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Neutrosophic Operational Research
This book addresses new concepts, methods, algorithms, modeling, and applications of green supply chain, inventory control problems, assignment problems, transportation problem, linear problems and new information related to optimization for the topic from the theoretical and applied viewpoints of neutrosophic sets and logic.The book is an innovatory of new tools and procedures, such as: Neutrosophic Statistical Tests and Dependent State Samplings, Neutrosophic Probabilistic Expert Systems, Neutrosophic HyperSoft Set, Quadripartitioned Neutrosophic Cross-Entropy, Octagonal and Spherical and Cubic Neutrosophic Numbers used in machine learning.It highlights the process of neutrosofication {which means to split the universe into three parts, two opposite ones (Truth and Falsehood), and an Indeterminate or neutral one (I) in between them}. It explains Three-Ways Decision, how the universe set is split into three different distinct areas, in regard to the decision process, representing: Acceptance, Noncommitment, and Rejection, respectively. The Three-Way Decision is used in the Neutrosophic Linguistic Rough Set, which has never been done before.
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Operations Research Proceedings 2011
This book contains a selection of refereed papers presented at the “International Conference on Operations Research (OR 2011)” which took place at the University of Zurich from August 30 to September 2, 2011. The conference was jointly organized by the German speaking OR societies from Austria (ÖGOR), Germany (GOR) and Switzerland (SVOR) under the patronage of SVOR. More than 840 scientists and students from over 50 countries attended OR 2011 and presented 620 papers in 16 parallel topical streams, as well as special award sessions. The conference was designed according to the understanding of Operations Research as an interdisciplinary science focusing on modeling complex socio-technical systems to gain insight into behavior under interventions by decision makers. Dealing with “organized complexity” lies in the core of OR and designing useful support systems to master the challenge of system management in complex environment is the ultimate goal of our professional societies. To this end, algorithmic techniques and system modeling are two fundamental competences which are also well-balanced in these proceedings.
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Probability Models in Operations Research
Industrial engineering has expanded from its origins in manufacturing to transportation, health care, logistics, services, and more. A common denominator among all these industries, and one of the biggest challenges facing decision-makers, is the unpredictability of systems. Probability Models in Operations Research provides a comprehensive overview of the probabilistic and stochastic modeling approaches commonly used to capture the randomness in industrial and systems engineering.
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Operations Research and Decision Aid Methodologies in Traffic and Transportation Management
Every one relies on some kind of transportation system nearly every day. Go ing to work, shopping, dropping children at school and many other cultural or social activities imply leaving home, and using some form of transportation, which we expect tobe eflicient and reliable. Of course, efliciency and reliabil ity do not occur by chance, but require careful and often relatively complex planning by transportation system managers, both in the public and private sectors. It has long been recognized that mathematics, and, more specifically, op erations research is an important tool of this planning process. However, the range of skills required to cover both fields, even partially, is very large, and the opportunities to gather people with this very diverse expertise are too few. The organization of the NATO Advanced Studies Institute on "Opera tions Research and Decision Aid Methodologies in Traflic and Transportation Management" in March 1997 in Balatonfüred, Hungary, was therefore more than welcome and the group of people that gathered for a very studious two weeks on the shores of the beautiful lake Balaton did really enjoy the truly multidisciplinary and high scientific level of the meeting. The purpose of the present volume is to report, in a chronological order, the various questions that were considered by the lecturers and the' students at the institute. After a general introduction to the topic, the first week focused on issues related to traflic modeling, mostly in an urban context.
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Operational Research and Systems
Contemporary Systems Thinking is a series of texts, each of which deals comparatively and/or critically with different aspects of holistic thinking at the frontiers of the discipline. Traditionally, writings by systems thinkers have been concerned with single theme propositions such as general systems theory, cybernetics, operations research, system dyna mics, soft systems methodology, and many others. Recently there have been attempts to fulfil a different, yet equally important, role by com parative analyses of viewpoints and approaches, each addressing dispa rate areas of study such as modeling and simulation, measurement, management, "problem-solving" methods, international relations, so cial theory, and last, but not exhaustively or least, philosophy. In a recent book these were drawn together within a multiform framework as part of an eclectic discussion-a nearly impossible task as I dis covered (see Dealing with Complexity-An Introduction to the Theory and Application of Systems Science by R. L. Flood and E. R. Carson). Neverthe less, bringing many sources together led to several achievements, among which was showing a great diversity of approaches, ideas, and application areas that systems thinking contributes to (although often with difficulties remaining unresolved). More important, however, while working on that manuscript I became aware of the need for and potential value in a series of books, each focusing in detail on the study areas mentioned above.
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Operational Research in Industry
Operational Research in Industry brings together the experience of an international group of practising OR consultants, researchers and academics in the applications of OR in Industry. The book gives practical examples of cross-industry management, covers many different industrial sectors and includes a variety of operations research tools including modelling, optimization and data mining.
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Perspectives on Operations Research
This volume presents state-of-the-art models, algorithms, and applications of quantitative methods in management and economics. The papers are clustered into four parts, focusing on optimization issues, applications of Operations Research in production and service management, applications of Operations Research in logistics, and interdisciplinary approaches.
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Probability Models in Operations Research
Industrial engineering has expanded from its origins in manufacturing to transportation, health care, logistics, services, and more. A common denominator among all these industries, and one of the biggest challenges facing decision-makers, is the unpredictability of systems. Probability Models in Operations Research provides a comprehensive overview of the probabilistic and stochastic modeling approaches commonly used to capture the randomness in industrial and systems engineering.
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Quality Management and Operations Research
Offering a step-by-step approach for applying the Nonparametric Method with the Bayesian Approach to model complex relationships occurring in Reliability Engineering, Quality Management, and Operations Research, it also discusses survival and censored data, accelerated lifetime tests (issues in reliability data analysis), and R codes. This book uses the Nonparametric Bayesian approach in the fields of quality management and operations research. It presents a step-by-step approach for understanding and implementing these models, as well as includes R codes which can be used in any dataset. The book helps the readers to use statistical models in studying complex concepts and applying them to Operations Research, Industrial Engineering, Manufacturing Engineering, Computer Science, Quality and Reliability, Maintenance Planning and Operations Management.This book helps researchers, analysts, investigators, designers, producers, industrialists, entrepreneurs, and financial market decision makers, with finding the lifetime model of products, and for crucial decision-making in other markets.
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Operations Research kompakt
Dieses Lehrbuch ist eine anschauliche, zum Selbststudium geeignete, Einführung in OR und behandelt grundlegende mathematische Algorithmen und Aufgaben der linearen und der nichtlinearen Optimierung. Die inhaltlichen Schwerpunkte liegen bei Simplex-Verfahren und Dualität bzw. Lagrange-Multiplikatoren und Karush-Kuhn-Tucker-Bedingungen. Zahlreiche Übungs- und Klausuraufgaben mit vollständigen Lösungen erleichtern das Verständnis und motivieren, die erläuterten mathematischen Konzepte einzuüben. Die Theorie wird durchgehend an Beispielen erklärt, auf detaillierte Beweise und mathematische Strenge wird bewusst verzichtet. Kompakte Zusammenfassungen helfen, das wirklich Wichtige schnell zu erfassen. Das Buch eignet sich als kompakter Begleiter einer Vorlesung, unterstützt aber auch bei der effizienten Prüfungsvorbereitung.
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Operations Research 1
Dieses Lehrbuch stellt die Grundlagen, Techniken und betriebswirtschaftlichen Anwendungsmöglichkeiten der linearen Planungsrechnung und der Netzplantechnik dar. Band 1enthält neben einer Einführung die bekanntesten und wohl auch am meisten in der betrieblichen Praxis angewendeten Gebiete des Operations Research. Die achte Auflage enthält eine Reihe von Demonstrations- und Übungsbeispielen, die ein effizientes Selbststudium erleichtern. Die einzelnen Kapitel sind so konzipiert, dass sie unabhängig voneinander bearbeitet werden können.
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Analytics, Operations, and Strategic Decision Making in the Public Sector
Analytics for the public sector involves the application of operations research and statistical techniques to solve various problems existing outside of the private sector. The use of analytics for the public sector results in more efficient and effective services for the clients and users of these systems. Analytics, Operations, and Strategic Decision Making in the Public Sector is an essential reference source that discusses analytics applications in various public sector organizations, and addresses the difficulties associated with the design and operation of these systems including multiple conflicting objectives, uncertainties and resulting risk, ill-structured nature, combinatorial design aspects, and scale. Featuring research on topics such as analytical modeling techniques, data mining, and statistical analysis, this book is ideally designed for academicians, educators, researchers, students, and public sector professionals including those in local, state, and federal governments; criminal justice systems; healthcare; energy and natural resources; waste management; emergency response; and the military.
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Africa Case Studies in Operations Research
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. Focusing on innovative case studies and recent applications of Operations Research models and algorithms in African countries, each chapter highlights findings emerging from the countries in question and explains the lessons learned. As such, the book offers an up-to-date overview of Operations Research practices and developments in Africa. AFROS is a “not for profit” organization that aims to promote Operations Research in Africa. Its affairs are regulated by an Executive Committee consisting of representatives/alternates of all its member societies. The members of the Federation undertake to co-operate in the advancement of knowledge, interest and education in Operations Research by appropriate means, particularly the exchange of information, the holding of meetings and conferences, and the awarding of prizes.
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Operational Research
This book addresses complex real-world problems with recent techniques. It comprises selected papers from the XX. congress APDIO held in Tomar, Portugal, in July 2019. The subject of the book is the application of operational research methodologies and techniques to address complex real problems. Readers will find interesting results and applications of operational research methods and techniques in the wide variety of the addressed problems. Of particular interest are the applications of, among others, linear, nonlinear and mixed-integer programing, multiobjective optimization, metaheuristics and hybrid heuristics, multicriteria decision analysis, data envelopment analysis, clustering techniques and decision support systems, in different areas such as supply chain management, scheduling problems, production management, logistics, energy, telecommunications and finance and health. In most chapters of the book, the described problems, methods and methodologies will be illustrated by auxiliary figures and tables, as well as algorithms. The main benefit of this book is to present the latest trends in operational research methods and methodologies by top Portuguese and international researchers. The book will present a wide scope of complex real-world applications addressed by recent theoretical techniques that aim to narrow the gap between academic researchers and practitioners.
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Logistics for Engineers
In today's rapidly evolving technological landscape, the field of logistics has undergone a significant transformation from a conventional supply chain operation to a highly intricate, data-driven network that is crucial for the efficient functioning of contemporary society. This new textbook seeks to facilitate this transition by providing a framework rooted in engineering fundamentals, empowering students to navigate the complexities of the modern logistics industry.Logistics for Engineers: Automatic Control, Network Science, and Industry 4.0 provides engineering students with a comprehensive and practical approach to mastering logistics by incorporating principles from Automatic Control, Network Science, and Industry 4.0. This new textbook discusses the intricate world of logistics as a complex interconnected system, where inventory levels, supply chains, and production processes act as signals within a control system. By integrating fundamental mathematical models such as differential equations and Laplace transforms, along with industry-specific applications, this textbook empowers future engineers with the necessary tools to optimize efficiency, reliability, and responsiveness within modern, data-driven logistics networks. Through a combination of real-world examples, challenging problem-solving exercises, and insights into cutting-edge technologies, this textbook prepares readers to excel in today's fast-paced industrial environment.Designed specifically for undergraduate engineering students, this textbook is tailored to those studying Industrial Engineering, Mechanical Engineering, Systems Engineering, and Operations Engineering. It serves as a foundational resource for courses in logistics, supply chain management, and operations engineering. The content is particularly beneficial for graduate students focusing on logistics, supply chain analytics, and smart manufacturing, as it offers a thorough exploration of logistics processes using a mathematical and systems-based methodology.The textbook provides a variety of resources to enhance learning, including end-of-chapter assessments, exercises, case studies and figure slides.
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Handbook of Operations Research for Homeland Security
This new Handbook addresses the state of the art in the application of operations research models to problems in preventing terrorist attacks, planning and preparing for emergencies, and responding to and recovering from disasters. The purpose of the book is to enlighten policy makers and decision makers about the power of operations research to help organizations plan for and respond to terrorist attacks, natural disasters, and public health emergencies, while at the same time providing researchers with one single source of up-to-date research and applications.The Handbook consists of nine separate chapters: Using Operations Research Methods for Homeland Security ProblemsOperations Research and Homeland Security: Overview and Case Study of Pandemic InfluenzaDeployed Security Games for Patrol PlanningInterdiction Models and ApplicationsTime Discrepant Shipments in Manifest DataAchieving Realistic Levels of Defensive Hedging Mitigating the Risk of an Anthrax Attack with Medical CountermeasuresService Networks for Public Health Preparedness and Large-scale Disaster Relief EffortsDisaster Response Planning in the Private Sector
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Deep Learning Applications in Operations Research
The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains of agriculture, health sectors, and insurance.Operations research is the branch of mathematics used to perform many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects to aid in decision making. Arriving at the proper decision depends on a number of factors; this book examines how AI and ML can be used to model equations and define constraints to solve problems more easily and discover proper and valid solutions. This book also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost. Case studies examine how to streamline operations and unearth data to make better business decisions. The concepts presented in this book can bring about and guide unique research directions to the future application of AI-enabled technologies.
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Handbook of Operations Research Applications at Railroads
This is the first book to offer a complete spectrum of the role that operations research has played and can play in the improvement of North American freight railroads. It explores how decisions are made at railroads, contains examples of the mathematical programming formulations to the complex problems, and provides insights into real-world applications. The handbook is divided into eleven chapters, covering topics including scheduling problems, empty railcar distribution, and intermodal rail. These topics have been specifically selected to offer a thorough examination of the application of operations research at freight railroads. The chapters are written by recognized award-winning scholars and practitioners with a deep knowledge and understanding of their specific topics. The Handbook of Operations Research Applications at Railroads is an ideal resource for academics, experienced researchers, and consultants in the field.
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Uncertainty Quantification using R
This book is a rigorous but practical presentation of the techniques of uncertainty quantification, with applications in R and Python. This volume includes mathematical arguments at the level necessary to make the presentation rigorous and the assumptions clearly established, while maintaining a focus on practical applications of uncertainty quantification methods. Practical aspects of applied probability are also discussed, making the content accessible to students. The introduction of R and Python allows the reader to solve more complex problems involving a more significant number of variables. Users will be able to use examples laid out in the text to solve medium-sized problems. The list of topics covered in this volume includes linear and nonlinear programming, Lagrange multipliers (for sensitivity), multi-objective optimization, game theory, as well as linear algebraic equations, and probability and statistics. Blending theoretical rigor and practical applications, this volume will be of interest to professionals, researchers, graduate and undergraduate students interested in the use of uncertainty quantification techniques within the framework of operations research and mathematical programming, for applications in management and planning.
R 6,110.06
Community Operational Research
"This is the book I have been waiting for. Community Operational Research has shown that analysis can be used not only for, but also with, community groups, helping them to gain more control of their situations. What Midgley and Ochoa-Arias' volume does is provide not only rich examples of grass-roots practice, but also thought-provoking theoretical explorations. The editors have a point of view, but they allow space for debate with those who interpret Community OR differently." Jonathan Rosenhead (Emeritus Professor of Operational Research, London School of Economics and Political Science; Ex-President of the ORS)
R 4,666.34
Service Operations Management
Address real-world organisational challenges by applying the principles of Service Operations Management Service Operations Management, 6th edition is a leading text in the field and provides an understanding of how service performance can be improved in organisations. It applies underlying theories to the real-world issues faced daily by service operations managers, by providing a diverse range of examples and illustrations from a wide range of international businesses, plus frameworks and techniques to help you better analyse existing operations and understand ways to deal with operational challenges. This book can be used to support a dedicated Service Operations Management course, or a service-focused course in Operations Management. The book is also ideal if you want to build on knowledge of the basic principles of operations management, and it serves as a handbook for operations managers in service organisations. Key features: Real-life examples from organisations around the world ensure all types of service are covered, from Metro Bank to Médecins Sans Frontières, from Apple to Aldi, from Costa coffee machines to Cubitts eyewear, and moreEnd-of-chapter case studies cover essential concepts and offer application opportunities that will strengthen your understandingA focus on how concepts work out in practice, such as in the expanded Service Concept and Customer Relationships chapters, both of which now incorporate new 'running' case studiesMajor updates for this edition include thoroughly revised and updated chapters on Service Strategy and People in the Service Operation, new material on the impacts of innovative technologies on services, and a greater consideration of the environmental and sustainability impact of operations "The leading Service Operations book, which we have used for 9 years. Excellent range of theory, very accessible to all student levels and extremely applicable within the global business world." Andrew Parker, Associate Professor and former Senior Industrial Operations Practitioner, University of Birmingham "A highly readable text with invaluable insights into modern service operations. It covers cutting-edge technologies, emphasises sustainability, and illustrates key concepts though real-world examples. An essential resource for students and managers" Dr Marina Papalexi, Senior Lecturer in Operations and Project Management, Manchester Metropolitan University "Everyone should understand what services are. We exist in them, for them and we are them. This book brings this to life through case study, theory and application". Professor Liz Breen, Professor of Health Service Operations, School of Pharmacy & Medical Sciences, University of Bradford Author Biographies Robert Johnston was Professor of Operations Management at Warwick Business School. Robert also served on the editorial boards of ten leading journals and was an Honorary Fellow of the European Operations Management Association and a Vice President of the Ins
R 3,197.00
Operational Research
This book addresses complex real-world problems with recent techniques. It comprises selected papers from the XX. congress APDIO held in Tomar, Portugal, in July 2019. The subject of the book is the application of operational research methodologies and techniques to address complex real problems. Readers will find interesting results and applications of operational research methods and techniques in the wide variety of the addressed problems. Of particular interest are the applications of, among others, linear, nonlinear and mixed-integer programing, multiobjective optimization, metaheuristics and hybrid heuristics, multicriteria decision analysis, data envelopment analysis, clustering techniques and decision support systems, in different areas such as supply chain management, scheduling problems, production management, logistics, energy, telecommunications and finance and health. In most chapters of the book, the described problems, methods and methodologies will be illustrated by auxiliary figures and tables, as well as algorithms. The main benefit of this book is to present the latest trends in operational research methods and methodologies by top Portuguese and international researchers. The book will present a wide scope of complex real-world applications addressed by recent theoretical techniques that aim to narrow the gap between academic researchers and practitioners.
R 6,594.00
Operational Research
This volume presents selected contributions by top researchers in the field of operations research, originating from the XVI Congress of APDIO. It provides interesting findings and applications of operations research methods and techniques in a wide variety of problems. The contributions address complex real-world problems, including inventory management with lateral transshipments, sectors and routes in solid-waste collection and production planning for perishable food products. It also discusses the latest techniques, making the volume a valuable tool for researchers, students and practitioners who wish to learn about current trends. Of particular interest are the applications of nonlinear and mixed-integer programming, data envelopment analysis, clustering techniques, hybrid heuristics, supply chain management and lot sizing, as well as job scheduling problems.This biennial conference, organized by APDIO, the Portuguese Association of Operational Research, held in Bragança, Portugal, in June 2013, presented a perfect opportunity to discuss the latest development in this field and to narrow the gap between academic researchers and practitioners.
R 4,083.35
Operations Research Proceedings 1999
This volume contains a selection of manuscripts referring to lectures presented at the Symposium on Operations Research 1999 (SOR'99) held at the Otto-von-Guericke University Magdeburg, Sep- tember 1 -3, 1999. This international conference took place under the auspices of the German OR society (GOR), and it was the first one organized in Germany since the foundation of GOR by merger of the two predecessor societies (DGOR and GMOOR) in 1998. The Symposium had 420 participants from 22 countries around the world. It attracted academicians and practitioners working in various fields of Operations Research and provided them with the most recent developments and advances in the full spectrum of Operations Research and related areas in economics, mathematics, and computer science. The selection of contributions to SOR'99 accepted by the program committee and the invited pa- pers formed a program which consisted of 265 lectures in 19 sections, including 2 plenary and 19 semi plenary presentations. 119 manuscripts were submitted for publication in the proceedings vo- lume.Due to the page limit for this volume and in order to insure a high quality level of the OR Proceedings a further review procedure had to take place which was strongly supported by the sec- tion chairpersons. It resulted in a selection of 87 manuscripts which are now presented in this volume.
R 5,214.20
