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Operational Research in Business and Economics
Thisbook gathers a selection of refereed papers presented at the 4th InternationalSymposium and 26th National Conference of the Hellenic Operational ResearchSociety. It highlights recent scientific advances in operational research andmanagement science (OR/MS), with a focus on linking OR/MS with other areas ofquantitative methods in a multidisciplinary framework. Topics covered includeareas such as business process modeling, supply chain management, organizationperformance and strategy planning, revenue management, financial applications,production planning, metaheuristics, logistics, inventory systems, and energysystems.
R 5,289.19
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.
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Applications of Operations Research and Management Science
This book includes case studies that examine the application of operations research to improve or increase efficiency in industry and operational activities. This collection of “living case studies” is all based on the author’s 30-year career of consulting and advisory work. These true-to life industrial applications illustrate the research and development of solutions, as well as potential implementation and integration problems that may occur when adopting these methods into a business. Among the topics covered in the chapters include optimization in circuit board manufacturing, Decision Support System (DSS) for plant loading and dispatch planning, as well as development of important test procedures for tyre and pharma industry with shelf life constraints. In particular, the study on deckle optimization should be of great help to managers in paper industry and consultants for development of deckle optimization software. The application of operations research throughout the industry makes it an ideal guide for industrial executives, professionals and practitioners responsible for quality and productivity improvement.
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Optimization and Decision Science: Operations Research, Inclusion and Equity
This volume collects peer-reviewed short papers presented at the Optimization and Decision Science conference (ODS 2022) held in Florence (Italy) from August 30th to September 2nd, 2022, organized by the Global Optimization Laboratory within the University of Florence and AIRO (the Italian Association for Operations Research).The book includes contributions in the fields of operations research, optimization, problem solving, decision making and their applications in the most diverse domains. Moreover, a special focus is set on the challenging theme Operations Research: inclusion and equity.The work offers 30 contributions, covering a wide spectrum of methodologies and applications. Specifically, they feature the following topics: (i) Variational Inequalities, Equilibria and Games, (ii) Optimization and Machine Learning, (iii) Global Optimization, (iv) Optimization under Uncertainty, (v) Combinatorial Optimization, (vi) Transportation and Mobility, (vii) Health Care Management, and (viii) Applications.This book is primarily addressed to researchers and PhD students of the operations research community. However, due to its interdisciplinary content, it will be of high interest for other closely related research communities.
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Stochastic Imperfect Inventory Systems
In today’s manufacturing environment, managing inventories is one of the basic concerns of enterprises dealing with materials according to their activities. This book introduces and examines important production strategies such as scrap strategy and rework strategy under stochastic conditions that contribute to the reduction of unexpected costs. In a step-by-step manner, it presents stochastic imperfect inventory models, inventory models involving rework processes or breakdowns, as well as their maintenance. Also, different aspects of uncertainty are provided in multiple chapters of this book.One of the primary questions answered in this book is: What is the optimal production quantity when there is a failure in the production line? To answer the question, the problem is first modelled mathematically, then the concavity or convexity of the objective function is proved and finally the optimal production quantity of the production system is determined using suitable solution methods.The book is valuable for researchers in operations research and inventory management and professionals working with supply chains.
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Advanced Optimization and Operations Research
This textbook provides students with fundamentals and advanced concepts in optimization and operations research. It gives an overview of the historical perspective of operations research and explains its principal characteristics, tools, and applications. The wide range of topics covered includes convex and concave functions, simplex methods, post optimality analysis of linear programming problems, constrained and unconstrained optimization, game theory, queueing theory, and related topics. The text also elaborates on project management, including the importance of critical path analysis, PERT and CPM techniques. This textbook is ideal for any discipline with one or more courses in optimization and operations research; it may also provide a solid reference for researchers and practitioners in operations research.
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Using Statistics in Small-Scale Language Education Research
Assuming no familiarity with statistical methods, this text for language education research methods and statistics courses provides detailed guidance and instruction on principles of designing, conducting, interpreting, reading, and evaluating statistical research done in classroom settings or with a small number of participants. While three different types of statistics are addressed (descriptive, parametric, non-parametric) the emphasis is on non-parametric statistics because they are appropriate when the number of participants is small and the conditions for use of parametric statistics are not satisfied. The emphasis on non-parametric statistics is unique and complements the growing interest among second and foreign language educators in doing statistical research in classrooms. Designed to help students and other language education researchers to identify and use analyses that are appropriate for their studies, taking into account the number of participants and the shape of the data distribution, the text includes sample studies to illustrate the important points in each chapter and exercises to promote understanding of the concepts and the development of practical research skills. Mathematical operations are explained in detail, and step-by-step illustrations in the use of R (a very powerful, online, freeware program) to perform all calculations are provided.A Companion Website extends and enhances the text with PowerPoint presentations illustrating how to carry out calculations and use R; practice exercises with answer keys; data sets in Excel MS-DOS format; and quiz, midterm, and final problems with answer keys.
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Decision Science and Operations Management of Solar Energy Systems
Decision Science and Operations Management of Solar Energy System looks beyond developing a solar power plant by also considering the requirements necessary to manage effective power plant operation for the long-term. This book includes data of solar power plants and quantitative techniques of statistical analysis used to inform decision-making for solar energy systems, thus enabling readers to predict future individual solar power system forecasts using different technical and financial parameters. Including data visualization, descriptive statistics, sampling techniques, plant layout, manufacturing economics, inventory management and total quality management of solar energy system, this book covers new insights as well as established fundamentals. The detailed information in this reference bridges the gap between theory and practice in the operation of solar energy systems for researchers, professionals and students working in the area of solar and renewable energy.
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Recent Advances In Stochastic Operations Research Ii
Operations research uses quantitative models to analyze and predict the behavior of systems and to provide information for decision makers. Two key concepts in such research are optimization and uncertainty. Typical models in stochastic operations research include queueing models, inventory models, financial engineering models, reliability models, and simulation models. This book contains a collection of peer-reviewed papers from the International Workshop on Recent Advances in Stochastic Operations Research (2007 RASOR Nanzan) held on March 5-6, 2007, at Nanzan University, Nagoya, Japan. It enables advanced readers to understand the recent topics and results in stochastic operations research.
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Operations Research Proceedings 1996
The volume contains a selection of manuscripts of lectures presented at the International Symposi um on Operations Research (SOR 96). The Symposium took place at the Technical University of Braunschweig, September 3-6, 1996. SOR 96 was organized under the auspices of the two German societies of Operations Research, Deutsche Gesellschaft fur Operations Research (DGOR) and Gesellschaft fur Mathematik, Okonomie and Operations Research (GMOOR) in cooperation with the Working Group Discrete Optimization of the IFIP (WG7.4). Since 1995, DGOR and GMOORjointly prepare the Symposium as a common annual conference. In particular, the annual general meetings of the DGOR, the GMOOR and the WG7.4 took place during the conference. The Symposi~m had 527 participants from 32 countries around the world, including 92 partici pants from Eastern Europe. The Symposium obviously attracts an international audience of workers fully covering the broad spectrum of Operations Research and related areas in economics, mathema tics and computer science. The importance of a highly interdisciplinary field as Operations Research is increasing owing to the growth in applications in related disciplines. Technological advances in computer science and algorithmic mathematics are crucial for attacking the great challenges waiting in the areas of applications of Operations Research effectively. As a participant of SOR 96 one could well observe the current pace of achievements. Many of these results are in these proceedings. The program consisted of two plenary, 17 semiplenary, and 335 contributed lectures in 18 sections.
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Decision Sciences for Quality and Productivity Improvement
This edited volume explores decision science theory-based approaches for enhancing the quality and productivity of products and processes, particularly in the fields of manufacturing, services, healthcare, banking, environment, agriculture, education, digital technology, and information technology. The decision science theories are drawn from various areas of management science, economics, operations research, statistical methods, machine learning, data mining, artificial intelligence, behavioural decision making and cognitive psychology. The book offers a unique platform to address various real-life problems and scenarios related to quality and productivity improvement, as well as operations excellence. The new concepts, varied solution methods, diverse research implications, industry case studies, comparative analysis of relevant approaches, in-depth literature review, and future research scopes discussed in the articles will certainly provide food for thought to researchers, decision-makers, and practitioners working in the domain of quality, productivity, and operations excellence. These theme-based book chapters demonstrate the immense potential of decision science theories to develop novel ideas that can support scientific decision-making, thereby improving the operations, quality, and productivity of any organisation.
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Applied Statistics for Business and Management using Microsoft Excel
This book illustrates the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past.The 2nd edition of Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions.
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Operations Research Proceedings 2024
This book contains a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2024), held at the Technical University of Munich, Germany, from September 3 to 6, 2024. Over 650 scientists from all over the world attended the OR 2024 in Munich. Three plenaries and nine semi-plenaries covered theoretical aspects of Operations Research, applications, and real-world practices. In addition, more than 500 presentations were held over three days in up to 23 parallel sessions. Covering a wide range of topics, the book highlights cutting-edge research and practical applications across various domains of modern operations research. It places a special emphasis on the theme "Data, Learning, and Optimization", exploring how data-driven approaches, machine learning techniques, and optimization strategies are shaping decision-making processes and operational efficiency. The contributions in this book reflect the diversity and innovation in the field, making it a valuable resource for researchers, practitioners, and academics alike.
R 9,158.00
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Deep Learning Applications in Operations Research
Deep Learning Applications in Operations Research explores cutting-edge applications of deep learning and optimization techniques across various domains. By delving into the innovative approaches and emerging trends in advanced intelligent applications, the book examines innovation and leveraging emerging technologies to drive intelligent solutions across diverse domains. It covers such key areas as:A comparative study of deep learning algorithms and genetic algorithms as stochastic optimizers, analyzing their effectiveness in operations research applications.An updated approach to Critical Path Method (CPM) that combines traditional scheduling with modern computational methods for dynamic project environments.A bibliometric analysis of smart warehousing trends in logistics operations management using R, providing data-driven insights into industry developments.An examination of edge computing optimization for real-time decision-making in operations research, focusing on latency reduction and computational efficiency.Development of a hybrid intrusion detection system for IoT networks, combining machine learning with anomaly and signature-based detection approaches.Introduction of SAI-GAN, a novel approach for masked face reconstruction, paired with a DCNN-ELM classifier for enhanced biometric authentication.Analysis of deep learning-driven mHealth applications in India's healthcare system, demonstrating how predictive analytics and real-time monitoring can improve healthcare accessibility.Exploration of machine learning-driven ontology evolution in multi-tenant cloud architectures, advancing automated knowledge engineering through deep learning models.Providing a wide-ranging overview of the field, the book helps researchers to navigate the rapidly evolving landscape of advanced intelligent applications. It demonstrates the transformative impact of deep learning in operations research by offering practical insights while establishing a foundation for future innovations.
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Fuzzy Optimization, Decision-making and Operations Research
After developing fuzzy set theory, many contributors focused their research on the extension of fuzzy sets and their computational methodologies, strengthening modern science and technology. In some real-life phenomena, the conventional methods and traditional fuzzy sets cannot be explained, whereas the extension of fuzzy sets and effective new computing methods can explain it adequately.This edited book presents a new view of fuzzy set-measurement methods entitled "Fuzzy Optimization, Decision Making and Operations Research: Theory and Applications", which deals with different perspectives and areas of research. All chapters are divided into three parts: fuzzy optimization, fuzzy decision-making, and fuzzy operation research. The goal of this book is to provide a relevant methodological framework covering the core fields of fuzzy decision-making method, fuzzy optimization method, fuzzy graphics method, fuzzy operations research, fuzzy optimization using graph theory, fuzzy support systems and its real and industrial applications. For many people, fuzzy words' industrial engineering and scientific meanings are still an advanced system for improving modern science and technology. Although fuzzy logic can be applied to many different areas, people do not know how different fuzzy approaches can be applied to various products currently on the market. It is written for professionals who wish to share their expertise, improve their findings, and provide relevant information in the fields of fuzzy methods and their application in decision-making, optimization theory, graph theory and operations research. This book is aimed at experts and practitioners in the fields of fuzzy optimization, fuzzy decision-making, and fuzzy operation research.
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Data Analytics, Computational Statistics, and Operations Research for Engineers
With the rapidly advancing fields of Data Analytics and Computational Statistics, it’s important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information. Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.
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Operations Research ’93
This proceedings volume contains extended abstracts of talks presented at the 18th Symposium on Operations Research held at the University of Cologne, September 1-3, 1993. The Symposia on Operations Research are the annual meetings of the Gesellschaft fiir Mathematik, Okonometrie und Operations Research (GMOOR), a scientific society providing a link between research and applications in the areas of applied mathematics, economics and operations research. The broad range of interests and scientific activities covered by GMOOR and its members was demonstrated by about 250 talks presented at the 18th Symposium. As in l'ecent years, emphasis was placed on optimization and stochastics, this year with a special focus on combinatorial optimization and discrete mathematics. We appreciate that with sections on parallel and distributed computing and on scientific computing also new fields could be integrated into the scope of the GMOOR. This book contains extended abstracts of most of the papers presented at the con ference. Long versions and full papers of the talks are expected to appear elsewhere in refereed periodicals. The contributions were divided into sixteen sections: (1) Theory of Optimization, (2) Computational Methods of Optimization, (3) Combinatorial Optimization and Dis crete Mathematics, (4) Scientific Computing, (5) Decision Theory, (6) Mathematical Economics and Game Theory, (7) Banking, Finance and Insurance, (8) Econometrics, (9) Macroeconomics and Economic Theory, (10) Stochastics, (11) Production and Lo gistics, (12) System and Control Theory, (13) Routing and Scheduling, (14) Knowledge Based Systems, (15) Information Systems and (16) Parallel and Distributed Compu ting.
R 4,516.83
Operations Research Proceedings 2017
This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2017), which was held at Freie Universität Berlin, Germany on September 6-8, 2017. More than 800 scientists, practitioners and students from mathematics, computer science, business/economics and related fields attended the conference and presented more than 500 papers in parallel topic streams, as well as special award sessions. The main theme of the conference and its proceedings was "Decision Analytics for the Digital Economy."
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Operations Research und Wissenbasierte Systeme
Ziel der Deutschen Gesellschaft für Operations Research (DGOR) e.V. ist es, Operations Research (Unternehmensforschung) in Wirtschaft, Wissenschaft und in Verwaltung zu fördern und zu verbreiten. Dabei orientiert sie sich nicht nur an der im klassischen Sinne verstandenen Thematik, sondern befaßt sich auch mit den Themen, die im weiteren Sinne mit der Unter nehmensforschung verknüpft sind. Ausdruck dieser Orientierung sind zahl reiche Arbeitsgruppen mit entsprechender Themenstellung, so z.B. die Ar beitsgruppen "Personal Computing" und "Wirtschaftsinformatik". Mit den Arbeitsgruppen soll ein Forum angeboten werden, den Transfer von Wissen und Erfahrungen zwischen Theorie und Praxis zu fördern. Wirtschaftsinformatik als interdisziplinäres Fachgebiet zwischen Wirtschafts wissenschaften und Informatik (entsprechend der fortschreitenden Entwick lung der integrierten Fertigung (CIM) bestehen auch zunehmend interdiszi plinäre Überschneidungen mit den Ingenieurwissenschaften) befaßt sich mit dem Entwurf, der Entwicklung und dem Einsatz von Anwendungs- und Kommunikationssystemen in Wirtschaft und Verwaltung. Dabei sind die Prinzipien, Methoden, Modelle und Werkzeuge zu betrachten, die hierbei eingesetzt werden. Die Arbeitsgruppe "Wirtschaftsinformatik" nimmt hierzu aktuelle Themenstellungen auf, wobei sie -bedingt durch den heterogenen Teilnehmerkreis aus Banken, Handel, Industrie, Verwaltung und Wissen schaft - branchenspezifische Problemstellungen nur sekundär betrachtet. Theorie und Praxis sind in der thematischen Orientierung gleichgewichtig vertreten. Mit dem Rahmenthema "Operations Research und Wissensbasierte Systeme" sollte den Fragen nachgegangen werden, die sich aus den konkurrierenden Ansätzen der Modelle des Operations Research und Wissensbasierter Systeme ergeben, zumal festzustellen gilt, daß Wissensbasierte Systeme bzw. Experten systeme zunehmend für Anwendungsfelder entwickelt werden, zu denen bereits ausgereifte Operations-Research-Modelle mit effizienten Algorithmen existieren.
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Games in Operations Management
Learning has become a constant state of mind for most professionals in today's organizations. However, to become a true learning enterprise, organizations cannot stop at instilling this yearning for knowledge into their collaborators. They must also capture and formalize the common know-how of the organization, as well as provide time and infrastructure to allow learning moments to happen. The aim of the Gaming Workgroup within IFIP 5.7 on Integrated Production Management Systems and the European Group of University Teachers for Industrial Management EHTB is to develop tools and formalisms to support experimental learning in these organizations. It has been proven that modelling the know-how, using visual environments such as multimedia and graphic simulations, is a first step. This in turn allows for the development of games, i.e. challenging settings that foster group interaction and problem solving. Games in Operations Management provides an excellent overview of the different game formats that have been developed and tested in past years, and includes games in a manufacturing environment, games in a services environment, and games for teaching organizational values. The book comprises the selected, revised proceedings of the 4th International Workshop on Games in Production Management: Experimental Learning in Industrial Management, which was sponsored by the International Federation for Information Processing (IFIP) and held in November, 1998, in Ghent, Belgium. The book will be of particular interest to organizational trainers, providing a good overview of state-of-the-art game and training formats as well as hints and advice on how to organize interactive training sessions. It will also be of interest to researchers in industrial engineering, industrial management, and operations management.
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Annotated Timeline of Operations Research
An Annotated Timeline of Operations Research: An Informal History recounts the evolution of Operations Research (OR) as a new science - the science of decision making. Arising from the urgent operational issues of World War II, the philosophy and methodology of OR has permeated the resolution of decision problems in business, industry, and government. The Timeline chronicles the history of OR in the form of self-contained, expository entries. Each entry presents a concise explanation of the events and people under discussion, and provides key sources where further relevant information can be obtained. In addition, books and papers that have influenced the development of OR or helped to educate the first generations of OR academics and practitioners are cited throughout the book. Starting in 1564 with seminal ideas that form the precursors of OR, the Timeline traces the key ideas and events of OR through 2004. The Timeline should interest anyone involved in OR - researchers, practitioners, academics, and, especially, students - who wish to learn how OR came into being. Further, the scope and expository style of the Timeline should make it of value to the general reader interested in the development of science and technology in the last half of the twentieth century.
R 3,055.35
Business Data Analysis using Excel
Taking a thematic approach to the use of Excel spreadsheets in introductory business data analysis, this text has been designed to explain the overall nature of what is to be achieved and also instruction in how it is to be done.The learning approach is highly interactive and enables students to develop an understanding of the power of Excel in allowing both analysis of business data sets and in the flexible preparation of graphs, charts and tables for inclusion in reports and essays.The text is supported by an online resource centre with self marking exercises that can be used by instructors for formative and summative assessment, and a series of PowerPoint files containing all of the illustrated worksheets and figures.
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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.
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Handbook of Stochastic Models and Analysis of Manufacturing System Operations
This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using analytical models to design and control manufacturing systems and their operations entail critical stochastic performance analysis as well as integrated optimization models of these systems. Topics deal with the areas of facilities planning, transportation, and material handling systems, logistics and supply chain management, and integrated productivity and quality models covering:• Stochastic modeling and analysis of manufacturing systems• Design, analysis, and optimization of manufacturing systems• Facilities planning, transportation, and material handling systems analysis• Production planning, scheduling systems, management, and control• Analytical approaches to logistics and supply chain management• Integrated productivity and quality models, and their analysis • Literature surveys of issues relevant in manufacturing systems• Case studies of manufacturing system operations and analysisToday’s manufacturing system operations are becoming increasingly complex. Advanced knowledge of best practices for treating these problems is not always well known. The purpose of the book is to create a foundation for the development of stochastic models and their analysis in manufacturing system operations. Given the handbook nature of the volume, introducing basic principles, concepts, and algorithms for treating these problems and their solutions is the main intent of this handbook. Readers unfamiliar with these research areas will be able to find a research foundation for studying these problems and systems.
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Operations Research and Enterprise Systems
This book includes extended and revised versions of selected papers from the 11th and 12th editions of the International Conference on Operations Research and Enterprise Systems (ICORES 2022 and ICORES 2023). ICORES 2022 was held as a virtual event in February 2022, and ICORES 2023 was held in Lisbon, Portugal, in February 2023. The 5 full papers included in this book were carefully reviewed and selected from the 55 submissions for ICORES 2022, and 8 full papers were reviewed and selected from the 55 submissions for ICORES 2023. The papers are focused on operations research and enterprise systems.
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Operations Research and Enterprise Systems
This book constitutes revised selected papers from the 5th International Conference on Operations Research and Enterprise Systems, ICORES 2016, held in Rome, Italy, in February 2016.The 14 papers presented in this volume were carefully reviewed and selection from a total of 75 submissions. They are organized in topical sections named: methodologies and technologies; and applications.
R 2,169.62
Operations Strategy
This new core textbook, underpinned by rigorous academic research and industry best-practice, offers a practical approach designed to provide students with the tools and techniques required to design and develop an operations strategy. Authored by two of the most well-respected authorities in the field, the book’s clear and accessible content explains how operations strategy can create value for an organisation and positively impact on business performance. Case studies with international relevance and which draw on examples from a wide range of industry sectors help students to link theory and practice, develop analytical and problem-solving skills, and gain an understanding of operations strategy in the real world. This textbook caters primarily for MBA students studying modules in Operations Strategy or Operations Management, and is also suited to postgraduate students studying Operations Strategy on specialist courses such as Operations and Supply Chain Management or Logistics and Operations Management. In addition, this is an important text for final year level undergraduate students studying Operations Strategy or Strategic Operations Management.
R 2,647.00
Operations Management
Operations management has an important role in improving healthcare. Some of its core concepts and tools, such as Lean and statistical process control, have their own Elements in this series. In this Element, the authors offer an overview of three major topics in healthcare operations management: capacity and demand, focus, and people and process. They demonstrate how queuing theory reveals counterintuitive insights about capacity utilisation and waiting times, examine how strategic focus can achieve significant productivity gains while creating potential inequities, and explore why process improvements must account for human behaviours like multitasking and workarounds. Using practical examples, the authors illustrate both the critical role and the limitations of operations management against a backdrop of high demand and resource constraints. This title is also available as open access on Cambridge Core.
R 853.44
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)
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Operations Research mit BASIC auf Commodore 2000/3000, 4000/8000
1m vorliegenden Buch werden fertige, ablauffahige BASIC-Programme zu Proble- men, Methoden und Verfahren aus dem Bereich des Operations Research angegeben. Ausgewiihlt wurden die Lineare Optimierung (Simplex-Methode) mit Sensibilitiits- analyse, die Transportproblem-Methode, das Zuordnungsproblem (gelast durch voll- stiindige Enumeration), das Rundreiseproblem (begrenzte EJlumeration). Das. Ver- fahren der dynamischen P1anungsrechnung wird an einem Lagerhaltungsproblem und das Branch-and-Bound-Verfahren an einem Einsatzproblem gezeigt. Au rdem sind noch zwei Programme zur Erzeugung alIer Permutationen aus n Elementen (Grundlage vieler Reihenfolgeprobleme) und alIer Kombinationen enthalten sowie ein CPM-Netzplan-Programm. Ziel des Buches ist es nicht nur, fertige, einsatzfahige Programme bereitzustellen, sondem auch zu zeigen, wie man Programme erstellt. Die Phasen der Programmer- stellung sind im Anhang I dargestellt. Die wichtigsten Phasen sind die Problem- analyse (siehe Abb. 47) und die Erstellung der Programm-Logik. Wlihrend man fUr die Problemanalyse keine allgemeingiiltigen oder systematischen Empfehlungen geben kann, gibt es fUr die Darstellung der Programm-Logik mehrere geeignete Hilfs- inittel. Wir verwenden ausschlie6lich Logik-Diagramme, die leicht abgewandelte Struktogramme sind (siehe Anhang 2). Die Logik-Diagramme (Struktogramme) eignen sich besonders fUr die schritt- weise Verfeinerung bei der Darstellung der Programm-Logik. Ihre Erstellung ist eine konstruktive Tlitigkeit (man spricht nicht umsonst von "Software-Engineering"). Man sollte sehr viel Sorgfalt - die sich spilter bezahlt macht - bei ihrer Erstellung aufbringen. Meist ist bei Vorlage einer einwandfreien Programm-Logik eine direkte Codierung maglich. Bei Fehlersuche und Programm-Anderung ist sie nicht nur hilf- reich, sondem meist unerlii6lich. Wir haben natiirlich nur an einigen Stellen exem- plarisch diese schrittweise Verfeinerung bis in die letzte Detailtiefe wiedergegeben.
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Multi-Criteria Decision-Making
This textbook for advanced undergraduate and graduate students provides a clear and practical guide to the principles and methods for structuring and solving complex problems that include multiple, often conflicting criteria.This book introduces the foundations of multi-criteria decision-making (MCDM) and its relationship with complementary approaches such as multi-objective optimization (MOO) and goal programming (GP). It then presents three major categories of MCDM methods: reference-type methods such as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), aggregation-type methods such as Analytic Hierarchy Process (AHP), and outranking-type methods such as Elimination et Choix Traduisant la Realité (ELECTRE). Each method is explained through its underlying principle, step-by-step numerical examples, and a summary of its strengths and limitations. Preprocessing techniques, including normalization and weighting methods, are also covered to ensure a rigorous foundation for analysis. End-of-chapter exercises are also provided to ensure that readers can consolidate their knowledge and develop the skills to apply this to real-world applications. Balancing theoretical foundations with practical application, the book highlights user-friendly software tools, including Microsoft Excel-based programs and open-source Python libraries. These tools render MCDM methods transparent, accessible, and readily applicable in diverse contexts, whether in engineering design, financial investment, business strategy, or public policy.This textbook is vital for advanced undergraduate and graduate students taking decision science and optimization courses in disciplines such as engineering, business, finance, and management. Its focus on recent methods and developments will ensure that students are well prepared for employment in their field or for further research into the techniques and applications and related software.
R 5,644.05
Optimierungsmethoden des Operations Research
In diesem Buch wird das in Band 1 entwickelte revidierte Simplexverfahren an die besondere Struktur von Optimierungsaufgaben angepaßt, deren Zielsetzung in der Ermittlung kostenminimaler Flüsse in gerichteten Graphen besteht. Die Implementierung des Verfahrens wird ausführlich diskutiert. Ausgehend von einer so entstehenden graphentheoretischen Version des Simplexverfahrens werden weite re kombinatorische Verfahren vorgestellt, deren Darstellung und B egründung auf ausschließlich graphentheoretischen Methoden beruht .Über ein Studium kürzester Wege in Graphen werden die Grundlagen der Terminplanung (Netzplantechnik) erarbeitet und danach die vor gestellten Methoden zu einem Verfahren der Kostenplanung (Netzpla ntechnik) zusammengefügt. Den Abschluß bilden Betrachtungen zu Re ihenfolgeproblemen.Das Buch ist methodenorientiert; es versucht exemplarisch, in die Denk- und Arbeitsweise der Optimierung in Graphen einzuführen. D abei werden die Verfahren strikt algorithmisiert; die Umsetzung d er Verfahren in ausführbare Programme ist ein richtungsgebender G esichtspunkt.
R 2,815.28
R 2,137.00
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
