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Operational Research and the Social Sciences
Twenty five years ago, in 1964, The Operational Research Society's first International Conference (held at Gonville and Caius College, Cambridge) took as its theme "Operational Research and the Social Sciences". The Conference sessions were organised around topics such as: Organisations and Control; Social Effects of Policies; Conflict Resolution; The Systems Concept; Models, Decisions and Operational Research. An examination of the published proceedings (J.R.Lawrence ed., 1966, Operational Research and the Social Sciences, Tavistock, London) reveals a distinct contrast between the types of contribution made by the representatives of the two academic communities involved. Nevertheless, the Conference served to break down some barriers, largely of ignorance about the objects, methods and findings of each concern. In the ensuing twenty five years, although debate has continued about the relationship between OR and the social sciences, mutual understanding has proved more difficult to achieve than many must have hoped for in 1964.
R 1,882.22
Data Forecasting and Segmentation Using Microsoft Excel
Perform time series forecasts, linear prediction, and data segmentation with no-code Excel machine learningKey FeaturesSegment data, regression predictions, and time series forecasts without writing any codeGroup multiple variables with K-means using Excel plugin without programmingBuild, validate, and predict with a multiple linear regression model and time series forecastsBook DescriptionData Forecasting and Segmentation Using Microsoft Excel guides you through basic statistics to test whether your data can be used to perform regression predictions and time series forecasts. The exercises covered in this book use real-life data from Kaggle, such as demand for seasonal air tickets and credit card fraud detection.You'll learn how to apply the grouping K-means algorithm, which helps you find segments of your data that are impossible to see with other analyses, such as business intelligence (BI) and pivot analysis. By analyzing groups returned by K-means, you'll be able to detect outliers that could indicate possible fraud or a bad function in network packets.By the end of this Microsoft Excel book, you'll be able to use the classification algorithm to group data with different variables. You'll also be able to train linear and time series models to perform predictions and forecasts based on past data.What you will learnUnderstand why machine learning is important for classifying data segmentationFocus on basic statistics tests for regression variable dependencyTest time series autocorrelation to build a useful forecastUse Excel add-ins to run K-means without programmingAnalyze segment outliers for possible data anomalies and fraudBuild, train, and validate multiple regression models and time series forecastsWho this book is forThis book is for data and business analysts as well as data science professionals. MIS, finance, and auditing professionals working with MS Excel will also find this book beneficial.
R 1,596.00
Applications of Operations Research and Management Science for Military Decision Making
Based on many years of applied research, modeling and educating future decision makers, the authors have selected the critical set of mathematical modeling skills for decision analysis to include in this book. The book focuses on the model formulation and modeling building skills, as well as the technology to support decision analysis. The authors cover many of the main techniques that have been incorporated into their three-course sequence in mathematical modeling for decision making in the Department of Defense Analysis at the Naval Postgraduate School.The primary objective of this book is illustrative in nature. It begins with an introduction to mathematical modeling and a process for formally thinking about difficult problems, illustrating many scenarios and illustrative examples. The book incorporates the necessary mathematical foundations for solving these problems with military applications and related military processes to reinforce the applied nature of the mathematical modeling process.
R 4,186.38
Methoden und Modelle des Operations Research
Probleme, Modelle, Algorithmen Eine zunehmende Anzahl von Autoren [siehe z. B. Boothroyd 1978, S. 110, Miiller- Merbach 1979, Checkland 1983] vertreten die Auffassung, da es zwei verschiedene Begriffe des Operations Research (OR) gibt: Ein Operations Research aus der Sicht des Praktikers und eins aus der Sicht des Mathematikers. Wahrend das OR aus der Sicht des Praktikers "die modellgestutzte Vorbereitung von Entscheidungen zur Gestaltung und Lenkung von Mensch-Maschine-Systemen zur Aufgabe hat" [Muller- Merbach 1979, S. 295], sieht der Mathematiker das OR "als Teilgebiet der ange- wandten Mathematik" [Gaede 1947] an. Wie es zu dieser Situation kam, wird naher im Kapitell dieses Buches beschrieben. Hier wird allerdings die Meinung vertreten, daf es zwar zwei Teile des Gebietes OR geben mag, da sie jedoch beide wichtig und notwendig fUr das OR sind und sich aus der Geschichte des OR erk1aren lassen. Urn dies fiir den Leser leichter verstandlich zu machen, ist es nutzlich, zunachst auf den hier benutzten Begriff des "Problems" etwas naher einzugehen. Bild 0 skizziert die hier angenommenen Zusammenhange. Diese Darstellung ist jedoch auf keinen Fall als ein zeitliches Ab1aufschema zu interpretieren. Zum Problem (im BewuBtsein eines Menschen) Formale Abstrak- Sprache, tion Perception ---, BewuBtsein Anspruchsn iveaus I (subjektiv) I I Anpassung der An- I spriiche, Anderung I des Realitatsaus- schnitts I I I I I I I Nicht-quantifizierte I relevante Probleme I Tatbestande J Bild 0 Zusammenhiinge zwischen Problemen, Modellen und Algorithmen 2 Einfi.
R 1,837.49
Operations Research and Artificial Intelligence: The Integration of Problem-Solving Strategies
The purpose of this book is to introduce and explain research at the boundary between two fields that view problem solving from different perspectives. Researchers in operations research and artificial intelligence have traditionally remained separate in their activities. Recently, there has been an explosion of work at the border of the two fields, as members of both communities seek to leverage their activities and resolve problems that remain intractable to pure operations research or artificial intelligence techniques. This book presents representative results from this current flurry of activity and provides insights into promising directions for continued exploration. This book should be of special interest to researchers in artificial intelligence and operations research because it exposes a number of applications and techniques, which have benefited from the integration of problem solving strategies. Even researchers working on different applications or with different techniques can benefit from the descriptions contained here, because they provide insight into effective methods for combining approaches from the two fields. Additionally, researchers in both communities will find a wealth of pointers to challenging new problems and potential opportunities that exist at the interface between operations research and artificial intelligence. In addition to the obvious interest the book should have for members of the operations research and artificial intelligence communities, the papers here are also relevant to members of other research communities and development activities that can benefit from improvements to fundamental problem solving approaches.
R 6,037.42
Monte Carlo Simulation im Operations Research
Der vorliegende Band ist die schriftliche Fassung einer zweistOndigen Vorlesung, die im Wintersemester 1970/71 an der Universitat ZOrich ge- halten wurde. Die Vorlesung richtete sich in erster Linie an Student en der Volks- und Betriebswirtschaft. Obwohl die Methode der Monte Carlo- Simulation sich in der Praxis als wichtiges und vie I verwendetes analy- tisches Instrument des Operations Research erwiesen hat, findet man min- destens im deutschen Schrifttum keine adaequate elementare Darstellung dieses Gebietes. Daher hoffe ich, dass dieser Kleine Band einer weite- ren Leserschicht von Nutzen ist. Die Monte Carlo-Methode wurzelt in der Wahrscheinlichkeitstheorie und der Statistik. Solange man sich aber auf die Betrachtung der "direkten" Monte Carlo-Methode zur numerischen Analyse stochastischer Systeme be- schrankt, kommt man mit elementaren Begriffen der Wahrscheinlichkeits- rechnung und Statistik aus. Anders verhalt es sich bei den "indirekten" Anwendungen der Monte Carlo-Methode zur Losung numerischer Aufgaben, etwa der Integral-, oder Eigenwert-Berechnung oder der Potentialtheorie. Da der weitaus Oberwiegende Anteil der Anwendungen der Monte Carlo-Metho- de "direkt" ist, kann in einer elementaren Darstellung getrost auf die "indirekten" Methoden verzichtet werden; das urn so mehr als es ausge- zeichnete BOcher zur "indirekten" Monte Carlo-Technik gibt (vgl. Litera- turverzeichnis am Schluss des B ndes). Die benotigten wahrscheinlich- keitstheoretischen und statistischen Begriffe und Satze werden jeweils an Ort und Stelle bei Bedarf eingefOhrt, so dass keine Vorkenntnisse in dieser Richtung vorausgesetzt werden. Im kurzen Kapitel 1 wird die Idee der Monte Carlo-Methode anhand ein- fachster Beispiele vorgestellt.
R 1,676.18
Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory
This book offers a comprehensive guide to the modelling of operational risk using possibility theory. It provides a set of methods for measuring operational risks under a certain degree of vagueness and impreciseness, as encountered in real-life data. It shows how possibility theory and indeterminate uncertainty-encompassing degrees of belief can be applied in analysing the risk function, and describes the parametric g-and-h distribution associated with extreme value theory as an interesting candidate in this regard. The book offers a complete assessment of fuzzy methods for determining both value at risk (VaR) and subjective value at risk (SVaR), together with a stability estimation of VaR and SVaR. Based on the simulation studies and case studies reported on here, the possibilistic quantification of risk performs consistently better than the probabilistic model. Risk is evaluated by integrating two fuzzy techniques: the fuzzy analytic hierarchy process and the fuzzy extension of techniques for order preference by similarity to the ideal solution. Because of its specialized content, it is primarily intended for postgraduates and researchers with a basic knowledge of algebra and calculus, and can be used as reference guide for research-level courses on fuzzy sets, possibility theory and mathematical finance. The book also offers a useful source of information for banking and finance professionals investigating different risk-related aspects.
R 3,700.12
Operations Research Proceedings 2006
This volume contains a selection of papers referring to lectures presented at the symposium Operations Research 2006 held at the University of Karlsruhe. The symposium presented the state of the art in Operations Research and related areas in Economics, Mathematics, and Computer Science and demonstrated the broad applicability of its core themes, placing particular emphasis on Basel II, one of the most topical challenges of Operations Research.
R 6,056.25
Operations Management
This fascinating new core textbook, authored by a highly respected academic with over a decade of industry experience, takes a global and strategic approach to the important topic of operations management (OM). Integrating contemporary and traditional theories the text covers everything a student needs to understand the reality of operations in the modern world and combines the latest cutting-edge thinking with innovative learning features. Written in a concise and engaging style and based on up-to-date research in the field, the book provides a range of international case studies and examples that help students to apply theoretical knowledge to real-world practice.This is a must-have textbook for students studying operations management modules on undergraduate, postgraduate and MBA programmes. In addition, this is an ideal textbook to accompany modules on operations strategy, production management and services management.Accompanying online resources for this title can be found at bloomsburyonlineresources.com/operations-management. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
R 1,210.00
Interfaces in Computer Science and Operations Research
The disciplines of computer science and operations research (OR) have been linked since their origins, each contributing to the dramatic advances of the other. This work explores the connections between these key technologies: how high-performance computing methods have led to advances in OR de ployment, and how OR has contributed to the design and development of ad vanced systems. The collected writings-from researchers and practitioners in Computer Science, Operations Research, Management Science, and Artificial Intelligence-were among those delivered at the Fifth INFORMS Computer Science Technical Section Conference in Dallas, Texas, January 8-10, 1996. The articles advance both theory and practice. Presented are new approaches to complex problems based on: metaheuristics (neural networks, genetic al gorithms, and Tabu Search), optimization and mathematical programming, stochastic methods, constraint programming, and logical analysis. These ad vanced methodologies are applied to new applications in such areas as: telecom munications network design, financial engineering, manufacturing, project man agement, and forecasting, airline and machine scheduling, vehicle routing, mod eling and decision support systems. Featured is a remarkable paper by keynote speaker Fred Glover, creator of the Tabu Search family of metaheuristics. In it he develops the principles of memory-based heuristic methods, contrasts them with the popular genetic algorithms and simulated annealing, provides a sweeping survey of application vignettes, and points to promising avenues for future research.
R 4,679.26
Decision and Prediction Analysis Powered With Operations Research
Organizations today face complex decisions and uncertainties that can have a profound impact on their financial stability and strategic direction. Traditional decision-making methods often fall short when it comes to addressing multifaceted issues like financing, product manufacturing, and facility location. These challenges demand a robust framework that quantifies factors, assesses risks, and provides optimal solutions. Without advanced tools and techniques, businesses are at risk of making uninformed decisions that could lead to significant financial losses and missed opportunities. The urgency to equip yourself with these tools is clear. Decision and Prediction Analysis Powered With Operations Research offers a comprehensive solution to these challenges. This book integrates operations research techniques to reframe and solve complex business problems. It provides a detailed exploration of decision analysis tools, such as influence diagrams and decision trees, which help visualize and assess various decision scenarios. By applying these tools, organizations can better understand uncertainties, evaluate risks, and make decisions that maximize expected utility and achieve strategic objectives. Targeting academic scholars, researchers, and business professionals, this book bridges the gap between theory and practice. It includes practical case studies from diverse industries, demonstrating the application of decision analysis in real-world contexts. Whether it's predicting loan applicants' timely payments or forecasting stock market directions, readers will gain actionable insights and methodologies to enhance their decision-making processes. This resource is essential for anyone looking to improve risk assessment and management, making informed decisions that drive organizational success.
R 11,369.72
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.
R 8,359.24
Epidemic-logistics Modeling: A New Perspective on Operations Research
This book is the first work to conduct the emergency logistics optimization problem under the epidemic environment (whether natural or man-made), which provides a new perspective for the application of optimization theory. In this book, the research methods involve epidemic dynamics, scenario-based emergency decision-making method, big data which combines the traditional and emerging technologies. The authors take epidemic outbreak as the research object and deeply integrate the epidemic spread model with the optimization model of emergency resource scheduling, which opens up a novel application area of operations research.
R 5,644.53
Mathematical Optimization Theory and Operations Research: Recent Trends
This book constitutes refereed proceedings of the 22nd International Conference on Mathematical Optimization Theory and Operations Research: Recent Trends, MOTOR 2023, held in Ekaterinburg, Russia, during July 2–8, 2023. The 28 full papers and one invited paper presented in this volume were carefully reviewed and selected from a total of 61 submissions. The papers in the volume are organized according to the following topical headings: mathematical programming; stochastic optimization; discrete and combinatorial optimization; operations research; optimal control and mathematical economics; and optimization in machine learning.
R 3,529.49
Operations Research and Health Care
In both rich and poor nations, public resources for health care are inadequate to meet demand. Policy makers and health care providers must determine how to provide the most effective health care to citizens using the limited resources that are available. This chapter describes current and future challenges in the delivery of health care, and outlines the role that operations research (OR) models can play in helping to solve those problems. The chapter concludes with an overview of this book – its intended audience, the areas covered, and a description of the subsequent chapters. KEY WORDS Health care delivery, Health care planning HEALTH CARE DELIVERY: PROBLEMS AND CHALLENGES 3 1.1 WORLDWIDE HEALTH: THE PAST 50 YEARS Human health has improved significantly in the last 50 years. In 1950, global life expectancy was 46 years [1]. That figure rose to 61 years by 1980 and to 67 years by 1998 [2]. Much of these gains occurred in low- and middle-income countries, and were due in large part to improved nutrition and sanitation, medical innovations, and improvements in public health infrastructure.
R 6,095.02
Operations Research Models in Flexible Manufacturing Systems
This volume aims at giving an updated account of the most relevant issues in the area of Flexible Manufacturing Systems with special emphasis to the problems of Simulation, Modelling, Planning, Scheduling, Economical Evaluation. A tutorial description of these topics is provided from the perspective of Operations Research. Both stochastic and deterministic models are taken into consideration and real world applications are considered. An annotated bibliography is provided at the end of the volume. Contributions: Akella: Real time part dispatch in flexible assembly, test and manufacturing systems; Arbib, Lucertini, Nicolò: Optimization models for FMS; Archetti, Sciomachen: Development, analysis and simulation of Petri net models: an application to AGV systems; Buzacott: Flexible models of FMS, and Modelling FMS; Filippini, Rovetta: Economic aspects in factory automation in relation to system flexibility; Fishman: Statistical considerations in the simulation of FMS; Jovane: Flexible automation, a need for industry - a challenge for research; Maione, Fanti, Turchiano: Large scale Markov chain modelling of transfer lines; Romanin-Jacur: FMS queueing network. Models theory and applications; Serafini, Ukovich, Kirchner, Giardina, Tiozzo: Job shop scheduling, a case study; Taylor: Advanced robotics in FMS; Villa: Hierarchical architectures for production planning and control; Deserti, Giraldo: FMS, a classification of recent literature.
R 1,668.73
Museum Operations
Today’s accelerated pace of decision-making combined with the emphases on accountability and transparency has created the need for analytical tools and templates to support the decision-making process of museum staffs and boards. Museum Operations: A Handbook of Tools, Templates, and Models contains research and analytical tools, templates, and models – giving museum professionals processes and procedures for analyzing information and making decisions that are then easily explainable to staff, board members, donors, patrons, and other stakeholders. The book consists of four parts. ·Part One is an overview of the research project management process. ·Part Two introduces the 19 tools, templates, and models that can be used to collect, analyze, and present research results and recommendations. It also explains what each tool, template, or model is, what it does, when it should be used, and how it should be used. ·Part Three presents six fictional case studies that show when and how the tools, templates, and models can be used in situ. ·Part Four contains blank, instructional versions of the tools, templates, and models for the reader’s use. Additional resources related to project management, research and analysis, and presentation skills are also included.
R 1,757.00
Advances in Operational Research in the Balkans
This proceedings volume presents recent theoretical and practical advances in operational research (OR). The papers focus on a number of key areas including combinatorial optimization, integer programming, heuristics, and mathematical programming. In addition, this volume highlights OR applications in different areas such as financial decision making, marketing, e-business, project management, scheduling, traffic and transportation. The chapters are based on papers presented at the 13th Balkan Conference on Operations Research (BALCOR). BALCOR is an established biennial conference. The selected papers promote international collaboration among researchers and practitioners, with a particular focus on the Balkan countries.
R 6,228.00
Choosing and Using Statistics
Choosing and Using Statistics remains an invaluable guide for students using a computer package to analyse data from research projects and practical class work. The text takes a pragmatic approach to statistics with a strong focus on what is actually needed. There are chapters giving useful advice on the basics of statistics and guidance on the presentation of data. The book is built around a key to selecting the correct statistical test and then gives clear guidance on how to carry out the test and interpret the output from four commonly used computer packages: SPSS, Minitab, Excel, and (new to this edition) the free program, R. Only the basics of formal statistics are described and the emphasis is on jargon-free English but any unfamiliar words can be looked up in the extensive glossary. This new 3rd edition of Choosing and Using Statistics is a must for all students who use a computer package to apply statistics in practical and project work. Features new to this edition: Now features information on using the popular free program, RUses a simple key and flow chart to help you choose the right statistical testAimed at students using statistics for projects and in practical classesIncludes an extensive glossary and key to symbols to explain any statistical jargonNo previous knowledge of statistics is assumed
R 5,089.00
Optimierung Operations Research Spieltheorie
Nahezu alle Lebensbereiche sind von dem Bestreben durchdrungen, bestmoglich zu handeln und zu entscheiden. Diese Intention lasst sich auch tibertragen aufdie Absicht, angestrebte Ziele oder Wirkungen mit geringstmoglichem Aufwand zu erreichen, also moglichst effektiv zu handeln. InjedemFall soll eine ZielgroJ3e sogut wie moglich gestaltet werden, wahrend bestimmte Nebenbedingungen einzuhalten sind. Der Mathematik und den Mathematikern gibt diese Erkenntnis die Anregung, tiber Optimierungsprobleme nachzudenken. Dabei ist die Grundlage eine quanti- fizierende Modellierung der Entscheidungs- und Aktionsmoglichkeiten, die zur Verftigung stehen. In dieses Modell mtissen weiter die Auswirkungen der Ent- scheidungen auf die ZielgroJ3e und auf die Einhaltung der Nebenbedingungen ein- gehen. Auf diese Weise muss es rechnerisch moglich werden, jeweils den Wert der ZielgroJ3e zu messen und tiber die ZugehOrigkeit zum Bereich der zulassigen Losungsvorschlage zu entscheiden. 1st diese Modellierung gelungen, dann ist es ei- ne weitere Aufgabe der Mathematik, Rechenverfahren zu entwickeln, die nun den besten der zulassigen Vorschlage ausfindig machen. Dabei steht zunachst einmal die Exaktheit der Losung im Vordergrund. Allerdings muss dieser Wunsch in vie- len Bereichen abgewogen werden mit dem Ziel, in moglichst kurzer Rechenzeit ein Ergebnis zu erhalten. Viele Probleme konnten in endlicher Zeit erschOpfend behan- delt werden, jedoch wtirde das oft einen nicht mehr vertretbaren Rechenaufwand auslosen. Deshalb befasst sich die Mathematik der Optimierung und des Opera- tions Research auch mit der Komplexitat der auftretenden Probleme und der Zur Losung eingesetzten Algorithmen.
R 2,831.39
Optimierungsmethoden des Operations Research
,,(. . .) Sind Grundkenntnisse in linearer Algebra und Analysis vorhanden, gibt das Lehrbuch eine gute Einführung in die Verfahren der linearen Optimierung und kann daher allen Studierenden der Fachrichtung Operations Research empfohlen werden. (. . .) "Zentralblatt für Mathematik undihre Grenzgebiete Febr. 1991
R 1,962.81
Neutrosophic Sets in Decision Analysis and Operations Research
In information technology, the concepts of cost, time, delivery, space, quality, durability, and price have gained greater importance in solving managerial decision-making problems in supply chain models, transportation problems, and inventory control problems. Moreover, competition is becoming tougher in imprecise environments. Neutrosophic sets and logic are gaining significant attention in solving real-life problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistency, and indeterminacy.Neutrosophic Sets in Decision Analysis and Operations Research is a critical, scholarly publication that examines various aspects of organizational research through mathematical equations and algorithms and presents neutrosophic theories and their applications in various optimization fields. Featuring a wide range of topics such as information retrieval, decision making, and matrices, this book is ideal for engineers, technicians, designers, mathematicians, practitioners of mathematics in economy and technology, scientists, academicians, professionals, managers, researchers, and students.
R 10,465.67
Military Operations Research
Operations Research (OR) emerged in an effort to improve the effectiveness of newly inducted weapons and equipment during World War II. While rapid growth ofOR led to its becoming an important aid to decision making in all sectors including defense, its contribution in defense remained largely confined to classified reports. Very few books dealing with applications of quantitative decision making techniques in military have been published presumably due to limited availability ofrelevant information. The situation changed rapidly during the last few years. The recognition of the subject of Military Operations Research (MOR) gave tremendous boost to its development. Books and journals on MOR started appearing. The number of sessions on MOR at national and international conferences also registered an increase. The volume of teaching, training and research activities in the field of MOR at military schools and non-military schools enhanced considerably. Military executives and commanders started taking increasing interest in getting scientific answers to questions pertaining to weapon acquisition, threat perception and quantification, assessment of damage or casualties, evaluation of chance of winning a battle, force mix, deployment and targeting of weapons against enemy targets, war games and scenario evaluation. Most of these problems were being tackled on the basis of intuition, judgment and experience or analysis under very simple assumptions. In an increasingly sophisticated and complex defense scenario resulting in advances in equipment and communications, the need for supplementing these practices by scientific research in MOR became imperative.
R 8,173.36
Community-Based Operations Research
This edited volume is an introduction to diverse methods and applications in operations research focused on local populations and community-based organizations that have the potential to improve the lives of individuals and communities in tangible ways. The book's themes include: space, place and community; disadvantaged, underrepresented or underserved populations; international and transnational applications; multimethod, cross-disciplinary and comparative approaches and appropriate technology; and analytics. The book is comprised of eleven original submissions, a re-print of a 2007 article by Johnson and Smilowitz that introduces CBOR, and an introductory chapter that provides policy motivation, antecedents to CBOR in OR/MS, a theory of CBOR and a comprehensive review of the chapters. It is hoped that this book will provide a resource to academics and practitioners who seek to develop methods and applications that bridge the divide between traditional OR/MS rooted in mathematical models and newer streams in 'soft OR' that emphasize problem structuring methods, critical approaches to OR/MS and community engagement and capacity-building.
R 5,856.37
Handbook On Efficiency And Productivity Analysis: Extending The Frontiers
This handbook presents key advancements in the methodologies, practices, and applications of traditional efficiency and productivity analysis. Through a combination of in-depth case studies and industry examples, readers will gain a deep understanding of how these advancements can be effectively implemented in various organisational settings.Frontier Analysis (FA), one of the key approaches presented within these pages, is a quantitative methodology used to measure and compare the relative efficiency and productivity of decision-making units (DMUs) within a specific industry or sector. FA is defined by its focus on identifying the "best-practice frontier" — representing the best achievable performance level given the available resources and technology of the DMUs involved. By studying the deviations between observed performance and the frontier, valuable insights are gained into areas of inefficiency and opportunities for improvement.Whether it involves analyzing supply chain operations, evaluating service delivery, or optimising manufacturing processes, the Handbook on Efficiency and Productivity Analysis will provide you with actionable guidance for driving tangible improvements in efficiency and productivity. Researchers, lecturers, and students of general production economics — particularly in the fields of management and operations research — are the primary targets of this title, but all stakeholders in relevant industries such as business management and policymaking will find this an indispensable resource.
R 5,422.00
R 455.00
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.
R 1,581.93
Operations Research Proceedings 1994
An insight into the latest results from the world of operations research - a wide-ranging field, as is shown by the book's 24 sections, corresponding to the conference program itself. Although problems of a primarily methodological nature are discussed, the emphasis is placed firmly on practical subjects, such as reports from the fields of healthcare, environmental protection, logistics and traffic engineering. This selection also clearly illustrates the extent to which OR is spreading into and already interwoven in other scientific disciplines.
R 3,292.05
Deep Learning Applications in Operations Research
The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of 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 phenomena. Such fields as object classification, speech recognition, and face detection have sought extensive application of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also the domains of agriculture, health sectors, and insurance.Operations research is the branch of mathematics for performing so 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 for decision making. Discussing how the proper decision depends on a number of factors, the book examines how AI and ML can be used to model equations and define constraints to solve more easily problems and discover proper and valid solutions. It also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost. Case studies look at 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.
R 11,167.06
Advances in Applied Operations Research and Analytics for Business Intelligence
This book includes selected papers from the International Conference on Emerging Trends in Business Analytics and Management Sciences, 57th Annual Convention of ORSI (BAMS 2024), held during December 12-14, 2024, at Victor Menezes Convention Center (VMCC), IIT Bombay, Mumbai, India. The book includes research works from engineers, researchers, and practitioners in the field of operations research and applications, machine learning, artificial intelligence and data science, big data, IoT, blockchain, and cloud computing, inventory management and supply chain analytics, retail analytics, information systems and analytics, financial data analytics, marketing analytics, healthcare analytics, operations and project management, applied mathematics and simulation in business, analytics in strategy and competitiveness, analytics for environmental economics, circular economy and sustainability through business analytics, applied statistics in management, fuzzy logic and intelligent systems, and environment, social, and governance analytics.
R 12,929.79
Operations Research and Artificial Intelligence: The Integration of Problem-Solving Strategies
The purpose of this book is to introduce and explain research at the boundary between two fields that view problem solving from different perspectives. Researchers in operations research and artificial intelligence have traditionally remained separate in their activities. Recently, there has been an explosion of work at the border of the two fields, as members of both communities seek to leverage their activities and resolve problems that remain intractable to pure operations research or artificial intelligence techniques. This book presents representative results from this current flurry of activity and provides insights into promising directions for continued exploration. This book should be of special interest to researchers in artificial intelligence and operations research because it exposes a number of applications and techniques, which have benefited from the integration of problem solving strategies. Even researchers working on different applications or with different techniques can benefit from the descriptions contained here, because they provide insight into effective methods for combining approaches from the two fields. Additionally, researchers in both communities will find a wealth of pointers to challenging new problems and potential opportunities that exist at the interface between operations research and artificial intelligence. In addition to the obvious interest the book should have for members of the operations research and artificial intelligence communities, the papers here are also relevant to members of other research communities and development activities that can benefit from improvements to fundamental problem solving approaches.
R 6,038.47
Analyzing Operations in Business
The field of operations management is increasingly recognized as being crucial to the success of a company. The premise of this book is that learning specific analytical techniques can provide a deeper understanding of the problems in operations management than merely reading about these problems. The book is concise while still providing a broad discussion of the issues and details to learn these valuable tools.Each problem area is introduced with an overview of the issues that must be addressed and the array of tools available to analyze them. Next, detailed examples are presented. Through these examples, the ramifications of the various approaches and the tradeoffs that must be considered when choosing one approach over another are explored. The book is a valuable resource for researchers, students, and business practitioners.
R 3,664.00
R 1,627.00
Mathematical Optimization Theory and Operations Research
This book constitutes the refereed proceedings of the 25th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2026, held in Irkutsk, Russia, during July 6–11, 2026.The 26 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 56 submissions. They are grouped into the following topics: Mathematical Programming; Discrete and Combinatorial Optimization; Stochastic Optimization; Scheduling; Applications in Machine Learning and Mathematical Economics; Optimal Control; Optimal Control.
R 3,155.94
Advanced Operations Management for Complex Systems Analysis
This book focuses on operations management methods for analysing complex systems from a system engineering perspective. It presents various advanced multi-criteria decision analysis methods for investigating factors that influence complex systems. In turn, it shows how to improve systems’ performance, including their competitiveness, safety, and sustainability. The book also draws on examples of typical virtual systems such as tourism, aviation maintenance, and waste-to-wealth systems to illustrate the operations management methods discussed. Cases from day-to-day life are used to elicit heuristic questions on the operations management methods presented in each chapter. The book will help researchers, operations managers, and engineers alike to understand the latest advances in operations management methods for analysing complex systems from the standpoint of system engineering.
R 1,890.43
Behavioral Operational Research
Behavioral research is making a significant impact on many academic disciplines. Its status as the source of some of the most profound research in the social sciences is unparalleled. Therefore, it is not surprising that interest in Behavior and Operational Research (OR) is burgeoning, even though understanding the relationship between knowledge, behavior and action has been an academic preoccupation in OR since the beginning of the discipline. This book introduces the idea of Behavioral OR, where the theoretical and empirical developments in the behavioral field are making an impression on OR academics and practitioners alike. The book provides a much needed overview that connects together theory, methodology and practice and offers the “state of the art” on Behavioral Operational Research theory and practice. The book not only includes chapters by leading academics, but also includes rich and insightful real-life case studies by practitioners.
R 6,021.25
Community-Based Operations Research
This edited volume is an introduction to diverse methods and applications in operations research focused on local populations and community-based organizations that have the potential to improve the lives of individuals and communities in tangible ways. The book's themes include: space, place and community; disadvantaged, underrepresented or underserved populations; international and transnational applications; multimethod, cross-disciplinary and comparative approaches and appropriate technology; and analytics. The book is comprised of eleven original submissions, a re-print of a 2007 article by Johnson and Smilowitz that introduces CBOR, and an introductory chapter that provides policy motivation, antecedents to CBOR in OR/MS, a theory of CBOR and a comprehensive review of the chapters. It is hoped that this book will provide a resource to academics and practitioners who seek to develop methods and applications that bridge the divide between traditional OR/MS rooted in mathematical models and newer streams in 'soft OR' that emphasize problem structuring methods, critical approaches to OR/MS and community engagement and capacity-building.
R 6,786.72
Advances in Operations Research Education
This edited monograph contains a comprehensive overview of educational developments in the fields of operations research (OR) and management science (MS). The book outlines key factors in OR/MS curricular programs and analyses different approaches regarding student enrollment and failure rates. The approach is genuinely international, whereas the focus lies on the European level. The target audience primarily comprises public policy planners in education, deans and school directors as well as program coordinators.
R 2,015.00
Discrete Optimization and Operations Research
This book constitutes the proceedings of the 9th International Conference on Discrete Optimization and Operations Research, DOOR 2016, held in Vladivostok, Russia, in September 2016. The 39 full papers presented in this volume were carefully reviewed and selected from 181 submissions. They were organized in topical sections named: discrete optimization; scheduling problems; facility location; mathematical programming; mathematical economics and games; applications of operational research; and short communications.
R 2,224.44
Research Methods for Operations and Supply Chain Management
Research Methods for Operations and Supply Chain Management, third edition, is a toolkit of research approaches primarily for advanced students and beginner researchers, but also a reference book for any researcher in OSCM.Many students begin their career in research limited by the one or few approaches taken by their department. The concise, accessible overviews found here equip them with an understanding of a variety of methods and how to use them, enabling students to tailor their research project to their own strengths and goals. The more seasoned researcher will find comprehensive descriptions and analyses on a wide variety of research approaches.This updated and enhanced edition responds to the latest developments in OSCM, including the growing prominence of services and production of intangible products, and the increasing use of secondary data and of mixed approaches. Alternative research approaches are included and explored to help with the planning of research. This edition also includes expanded literature reviews and analysis to guide students towards the next steps in their reading, and more detailed step-by-step advice to tie theory with the research.Including contributions from an impressive range of the field’s leading thinkers in OSCM research, this is a guide that no-one embarking on an OSCM research project should be without.
R 7,702.57
Operations and Production Systems with Multiple Objectives
The first comprehensive book to uniquely combine the three fields of systems engineering, operations/production systems, and multiple criteria decision making/optimization Systems engineering is the art and science of designing, engineering, and building complex systems—combining art, science, management, and engineering disciplines. Operations and Production Systems with Multiple Objectives covers all classical topics of operations and production systems as well as new topics not seen in any similiar textbooks before: small-scale design of cellular systems, large-scale design of complex systems, clustering, productivity and efficiency measurements, and energy systems. Filled with completely new perspectives, paradigms, and robust methods of solving classic and modern problems, the book includes numerous examples and sample spreadsheets for solving each problem, a solutions manual, and a book companion site complete with worked examples and supplemental articles. Operations and Production Systems with Multiple Objectives will teach readers: How operations and production systems are designed and plannedHow operations and production systems are engineered and optimizedHow to formulate and solve manufacturing systems problemsHow to model and solve interdisciplinary and systems engineering problemsHow to solve decision problems with multiple and conflicting objectives This book is ideal for senior undergraduate, MS, and PhD graduate students in all fields of engineering, business, and management as well as practitioners and researchers in systems engineering, operations, production, and manufacturing.
R 6,060.00
R 690.49
