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Operations Management in Healthcare
This thoroughly revised and updated second edition of Operations Management in Healthcare: Strategy and Practice describes how healthcare organizations can cultivate a competitive lead by developing superior operations using a strategic perspective. In clearly demonstrating the "how-tos" of effectively managing a healthcare organization, this new edition also addresses the "why" of providing quality and value-based care. Comprehensive and practice-oriented, chapters illustrate how to excel in the four competitive priorities - quality, cost, delivery, and flexibility - in order to build a cumulative model of healthcare operations in which all concepts and tools fit together. This textbook encourages a hands-on approach and integrates mind maps to connect concepts, icons for quick reference, dashboards for measurement and tracking of progress, and newly updated end-of-chapter problems and assignments to reinforce creative and critical thinking.Written with the diverse learning needs in mind for programs in health administration, public health, business administration, public administration, and nursing, the textbook equips students with essential high-level problem-solving and process improvement skills. The book reveals concepts and tools through a series of short vignettes of a fictitious healthcare organization as it embarks on its journey to becoming a highly reliable organization. This second edition also includes a strong emphasis on the patient's perspective as well as expanded and added coverage of Lean Six Sigma, value-based payment models, vertical integration, mergers and acquisitions, artificial intelligence, population health, and more to reflect evolving innovations in the healthcare environment across the United States. Complete with a full and updated suite of Instructor Resources, including Instructor’s Manual, PowerPoints, and test bank in addition to data sets, tutorial videos, and Excel templates for students.Key Features:Demonstrates the "how-tos" of effectively managing a healthcare organizationSharpens problem-solving and process improvement skills through use of an extensive toolkit developed throughout the textPrepares students for Lean Six Sigma certification with expanded coverage of concepts, tools, and analyticsHighlights new trends in healthcare management with coverage of value-based payments, mergers and acquisitions, population health, telehealth, and moreIntertwines concepts with vivid vignettes to describe human dynamics, organizational challenges, and applications of toolsEmploys boxed features and YouTube videos to address frequently asked questions and real-world instances of operations in practicePurchase includes digital access for use on most mobile devices or computers, as well as full suite of instructor and student resources
R 4,267.00
R 581.00
Studien zur wirtschaftlichen Verfahrensforschung (Operations Research)
Im Rahmen des Forschungsvorhabens »Studien zur wirtschaftlichen Verfahrens forschung, Operations Research« ist im Institut für Industriewirtschaftliche Forschung eine Reihe von Untersuchungen durchgeführt worden. Entsprechend dem Charakter dieser derzeitig sehr im Vordergrund stehenden Forschungs richtung erwies es sich als notwendig, von mehreren Seiten her die Gesamt thematik aufzugreifen. Damit war also notwendig verbunden, daß die ursprüng lich vorgesehene Linie der Durchführung der Untersuchung nicht immer ein gehalten werden konnte. Die vorliegenden Arbeiten sind daher ein Niederschlag der im Laufe der Zeit wechselnden Diskussion. Als wichtigstes Resultat der Untersuchungen kann das Buch von Dr. Dr. H. C. JoKSCH, »Lineares Programmieren« vorgelegt werden, das im Verlage J. C. B. Mohr, Tübingen, 1962 veröffentlicht worden ist. Das Buch ist das Ergebnis einer längeren und umfassenden Diskussion innerhalb der Forschungs gruppe. Es hat bereits kurz nach Erscheinen teilweise eine sehr erfreuliche Auf nahme gefunden, so daß nachträglich die aufgewandte Arbeit innerhalb der Forschungsgruppe gerechtfertigt erscheint. Diese Studie ist nicht mit in den vorliegenden Forschungsbericht aufgenommen. In der vorliegenden Sammlung wird zunächst eine Arbeit von Dr. Dr. JoKSCH über »Lineare Programme mit zeitlichen Bedingungen« vorgelegt. Dabei stehen theoretisch-methodologische Fragen im Vordergrund.
R 1,719.95
Operations Management and Data Analytics Modelling
Operations Management and Data Analytics Modelling: Economic Crises Perspective addresses real operation management problems in thrust areas like the healthcare and energy management sectors and Industry 4.0.It discusses recent advances and trends in developing data-driven operation management-based methodologies, big data analysis, application of computers in industrial engineering, optimization techniques, development of decision support systems for industrial operation, the role of a multiple-criteria decision-making (MCDM) approach in operation management, fuzzy set theory-based operation management modelling and Lean Six Sigma.Features Discusses the importance of data analytics in industrial operations to improve economy Provides step-by-step implementation of operation management models to identify best practices Covers in-depth analysis using data-based operation management tools and techniques Discusses mathematical modelling for novel operation management models to solve industrial problemsThis book is aimed at graduate students and professionals in the field of industrial and production engineering, mechanical engineering and materials science.
R 7,566.17
Professional Financial Computing Using Excel and VBA
"Professional Financial Computing Using Excel and VBA is an admirable exposition that bridges the theoretical underpinnings of financial engineering and its application which usually appears as a "black-box" software application. The book opens the black-box and reveals the architecture of risk-modeling and financial engineering based on industry-standard stochastic models by utilizing Excel and VBA functionality to create a robust and practical modeling tool-kit. Financial engineering professionals who purchase this book will have a jumpstart advantage for their customized financial engineering and modeling needs." Dr. Cameron Wicentowich Vice President, Treasury Analytics Canadian Imperial Bank of Commerce (CIBC) "Spreadsheet modeling for finance has become a standard course in the curriculum of many Quantitative Finance programs since the Excel-based Visual Basic programming is now widely used in constructing optimal portfolios, pricing structured products and managing risks. Professional Financial Computing Using Excel and VBA is written by a unique team of finance, physics and computer academics and practitioners. It is a good reference for those who are studying for a Masters degree in Financial Engineering and Risk Management. It can also be useful for financial engineers to jump-start a project on designing structured products, modeling interest term structure or credit risks." Dr. Jin Zhang Director of Master of Finance Program and Associate Professor The University of Hong Kong "Excel has been one of the most powerful tools for financial planning and computing over the last few years. Most users utilize a fraction of its capabilities. One of the reasons is the limited availability of books that cover the advanced features of Excel for Finance. Professional Financial Computing Using Excel and VBA goes the extra mile and deals with the Excel tools many professionals call for. This book is a must for professionals or students dealing with financial engineering, financial risk management, computational finance or mathematical finance. I loved the way the authors covered the material using real life, hands-on examples." Dr. Isaac Gottlieb Temple University Author, Next Generation Excel: Modeling in Excel for Analysts and MBAs
R 4,396.00
Using Excel for Principles of Econometrics
Principles of Econometrics is an introductory book for undergraduate students in economics and finance, and can be used for MBA and first-year graduate students in many fields. The 4th Edition provides students with an understanding of why econometrics is necessary and a working knowledge of basic econometric tools. This text emphasizes motivation, understanding and implementation by introducing very simple economic models and asking economic questions that students can answer.
R 1,176.00
Modelling Operational Risk Using Bayesian Inference
The management of operational risk in the banking industry has undergone explosive changes over the last decade due to substantial changes in the operational environment. Globalization, deregulation, the use of complex financial products, and changes in information technology have resulted in exposure to new risks which are very different from market and credit risks. In response, the Basel Committee on Banking Supervision has developed a new regulatory framework for capital measurement and standards for the banking sector. This has formally defined operational risk and introduced corresponding capital requirements.Many banks are undertaking quantitative modelling of operational risk using the Loss Distribution Approach (LDA) based on statistical quantification of the frequency and severity of operational risk losses. There are a number of unresolved methodological challenges in the LDA implementation. Overall, the area of quantitative operational risk is very new and different methods are under hot debate.This book is devoted to quantitative issues in LDA. In particular, the use of Bayesian inference is the main focus. Though it is very new in this area, the Bayesian approach is well suited for modelling operational risk, as it allows for a consistent and convenient statistical framework for quantifying the uncertainties involved. It also allows for the combination of expert opinion with historical internal and external data in estimation procedures. These are critical, especially for low-frequency/high-impact operational risks.This book is aimed at practitioners in risk management, academic researchers in financial mathematics, banking industry regulators and advanced graduate students in the area. It is a must-read for anyone who works, teaches or does research in the area of financial risk.
R 4,276.03
Operations Research in Production Planning and Control
This proceedings volume contains selected and refereed contributions that were presented at the conference on "Recent Developments and New Perspectives of Operations Research in the Area of Production Planning and Control" in Hagen/Germany, 25. - 26. June 1992. This conference was organized with the cooperation of the FernuniversiHit Hagen and was jointly hosted by the "Deutsche Gesellschaft fur Operations Research (DGOR)" and the "Manufacturing Special Interest Group of the Operations Research Society of America (ORSA-SIGMA)". For the organization of the conference we received generous financial support from the sponsors listed at the end of this volume. We wish to express our appreciation to all supporters for their contributions. This conference was the successor of the JOInt ORSA/DGOR-conference in Gaithersburg/Maryland, USA, on the 30. and 31. July 1991. Both OR-societies committed themselves in 1989 to host joint conferences on special topics of interest from the field of operations research. This goal has been successfully realized in the area of production management; and it should be an incentive to conduct similar joint conferences on other topics of operations research in the years to come. The 36 contributions in this proceedings volume deal with general and special problems in production planning as well as approaches and algorithms for their solution. They cover a wide range of operations research within product management and will therefore address a wide circle of interested readers among OR-scientists and professionals alike.
R 3,297.84
Business Optimization Using Mathematical Programming
This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.
R 5,311.24
Operations Methods
Updated to integrate the management of associated information processes, expand some application discussions, and provide additional reference material, the intent of this monograph is to help business professionals use waiting line (queuing) analysis methods to improve both service and manufacturing business applications of queuing situations. Emphasis is given to discussing the caveats in applying waiting line theory and becoming aware of the assumptions used in developing that theory. The importance of accounting for variability in waiting line processes is discussed in some detail because the basic queuing equations provide only average performance data under steady-state conditions. Understanding how much variability can exist for a given waiting line scenario provides a manager with the insight required to reduce these effects and develop innovative solutions for improving service while reducing operating costs.In general the mathematical tone of the book is focused on applications, not the derivation of the formulas presented. The few derivation exceptions illustrate some approaches not commonly discussed in textbooks—for example, the use of state diagrams and random number approximations of the probability distributions for use in simple simulation models.To aid in understanding the material presented, some practical examples are given at appropriate points in the text and some simulation approaches using common spreadsheet software are described.
R 621.42
Islamic Operations Management
Managing operations is an integral part of all business and comprises a number of components, including quality management, production planning, supply chain management, logistics, and inventory control. The effective management of operations plays a defining role in enhancing business efficiency and is a lynchpin for success.This book explores how Islamic principles and tools can be applied to improve operations management across industries. While Islamic banking and finance are established disciplines, there is yet little evidence of how exploring operations management from an Islamic lens can improve efficiency. Bringing together leading scholars across subdisciplines, the Editors fill the long-standing gap and address the rising demand for halal products and services by providing a unique perspective to define and enhance an important, growing field.This book will be a useful reference for those who wish to understand all aspects of Islamic business operations and halal logistics. The book will be helpful to academics, researchers, and upper level students, in particular to those who are looking to further their research on how Islamic principles can be applied to business operations.
R 2,653.22
Operations Management for Healthcare Organizations
Varying factors such as the aging of the population, the increasing burden of chronic conditions and the recent global pandemic have highlighted the need for a redesign of healthcare production processes. This book provides a useful framework to capture the necessary organizational conditions to successfully implement operations strategies within healthcare organizations. The Operations Management (OM) function has become crucial; in fact, it is essential for managing the flow of both patients and supplies, in an efficient, responsive and flexible manner. The book outlines the models and operational solutions to these two key areas that characterize OM in healthcare: patient flow logistics, with the goal of optimizing the entire production cycle from first access by the patient to discharge and follow-up; and supply chain management, with the goal of ensuring that resources are successfully managed throughout the production lifecycle. The examples and case studies included in the book are based on the experience of the author who has had the opportunity to do research and training in the area of operations management, within different types of healthcare delivery organizations at both the national and international level, and often at publicly owned institutions. The book is a useful guide for students, managers and policy makers interested in the development and implementation of the OM function in healthcare delivery organizations.
R 3,140.44
Fuzzy Engineering and Operations Research
“Fuzzy Engineering and Operations Research” is the edited outcome of the 5th International Conference on Fuzzy Information and Engineering (ICFIE2011) held during Oct. 15-17, 2011 in Chengdu, China and by the 1st academic conference in establishment of Guangdong Province Operations Research Society (GDORSC) held on Oct. 20, 2011 in Guangzhou, China. The 5th ICFIE2011, built on the success of previous conferences, and the GDORC, first held, are major Symposiums, respectively, for scientists, engineers practitioners and Operation Research (OR) researchers presenting their updated results, developments and applications in all areas of fuzzy information and engineering and OR. It aims to strengthen relations between industry research laboratories and universities, and to create a primary symposium for world scientists in Fuzziology and OR fields. The book contains 62 papers and is divided into five main parts: “Fuzzy Optimization, Logic and Information”, “The mathematical Theory of Fuzzy Systems”, “Fuzzy Engineering Applications and Soft Computing Methods”, “OR and Fuzziology” and “Guess and Review”.
R 8,523.25
Discrete Analysis and Operations Research
This book contains translations of papers from the first volume of the new Russian-language journal published at the Sobolev Institute of Mathematics (Sibe- rian Branch of the Russian Academy of Sciences, Novosibirsk) since 1994. In 1994 the journal was titled Sibirskil Zhurnal Issledovaniya Operatsil. Since 1995 this journal has the title DiskretnYl Analiz i Issledovanie Operatsil (Discrete Analysis and Operations Research) The aim of this journal is to bring together research papers in different areas of discrete mathematics and computer science. The journal DiskretnYl Analiz i Issledovanie Operatsil covers the following fields: * discrete optimization * synthesis and complexity * discrete structures and * of control systems extremal problems * automata * combinatorics * graphs * control and reliability * game theory and its of discrete devices applications * mathematical models and * coding theory methods of decision making * scheduling theory * design and analysis * functional systems theory of algori thms Contributions presented to the journal can be original research papers and occasional survey articles of moderate length. A. D.Korshunov THE NUMBER OF DISTINCT SUBWORDS OF FIXED LENGTH IN THE MORSE-HEDLUND SEQUENCEt) S. V. Avgustinovich An exact formula is obtained for the number of distinct subwords of length n in the Morse-Hedlund sequence [1), i. e. , the sequence in which the initial member is 0 and subsequent members are produced by unlimited application of the operation of substituting 01 for 0 and 10 for 1.
R 3,046.88
Operations Management and Systems Engineering
This book comprises select proceedings of the International Conference on Production and Industrial Engineering (CPIE) 2018. The book focuses on the latest developments in the domain of operations management and systems engineering, and presents analytical models, case studies, and simulation approaches relevant to a wide variety of systems engineering problems. Topics such as decision sciences, human factors and ergonomics, transport and supply chain management, manufacturing design, operations research, waste management, modeling and simulation, reliability and maintenance, and sustainability in operations and manufacturing are discussed in this book. The contents of this book will be useful to academics, researchers and practitioners working in the field of systems engineering and operations management.
R 6,841.19
Innovative Risk Leadership in Aviation
This book focuses on the perspective of risk leadership strategy in view of human resources, diversity management and inclusion projects in the multicultural business environment of aviation operations. It will enable the reader to successfully develop strategies and manage their sustainability with sound risk leadership, organisational behaviour, and ergonomic-focused approaches, to achieve corporate objectives within their aviation industry context.Innovative risk leadership is the essential driver in diversity, ethical, and inclusion-based global management strategies which are affected by digitalisation and artificial intelligence (AI). This book showcases many contemporary management issues grounded in the innovative risk leadership concept and will serve as a useful resource for managers and professionals as well as researchers of enterprise management and strategy. It examines the successful integration of innovative risk leadership into business management with diversity and inclusion shaped by AI with an emphasis on aviation issues, recognising that aviation enterprises operate in a hypercompetitive environment, applying digital technologies to achieve smooth operations and efficient performance, and that the effective management of multiculturalism is a key priority in this global industry. Such realities result in higher risk and as such aviation managers must always strive to find ways to mitigate this risk. Practices and policies that the aviation industry applies to handle these issues are shown to be adopted from other sectors as well as adapted to other sectors.Written for aviation industry managers, professionals, students, and researchers interested in risk management, the book could also be utilised as a handbook for MROs, airlines, airports, and aerospace manufacturers.
R 9,305.71
Operations Research and Discrete Analysis
This book contains translations of papers from the second volume of the new Russian-language journal published at the Sobolev Institute of Mathematics (Sibe- rian Branch of the Russian Academy of Sciences, Novosibirsk) since 1994. In 1994 the journal was titled Sibirskil Zhurnal Issledovaniya Oper- atsil. Since 1995 this journal has the title Diskretny'l Analiz i Issledovanie Operatsi'l (Discrete Analysis and Operations Research). The aim of this journal is to bring together research papers in different areas of discrete mathematics and computer science. The journal DiskretnYl Analiz i Issledovanie Operatsil covers the following fields: * discrete optimization * synthesis and complexity * discrete structures and * of control systems extremal problems * automata * combinatorics * graphs * control and reliability * game theory and its of discrete devices applications * mathematical models and * coding theory methods of decision making * scheduling theory * design and analysis * functional systems theory of algorithms Contributions presented to the journal can be original research papers and occasional survey articles of moderate length.The journal is published in one volume of four issues per year that appear in March, June, September, and December. Each volume contains approximately 400 pages. I express my sincere gratitude to Professor S. S. Kutateladze for his help in editing the English translation.
R 3,045.85
Conducting Educational Research
Conducting Educational Research, Sixth Edition thoroughly addresses the major components of research design and methodology. The text is especially useful for inexperienced student-researchers and doctoral students in the early stages of preparing a dissertation. The early chapters of the text clearly describe the process of selecting a problem, reviewing the literature, constructing a hypothesis, identifying and labeling variables, and constructing operational definitions. The later chapters assist students in refining methodological procedures, analyzing data, and writing the final research report. The clarity of the text and the numerous practical examples help to reinforce important concepts and key ideas, increasing the efficacy of the text for even the most inexperienced student-researchers. Additionally, sample studies are included as models of acceptable published research and serve as a guide against which students may evaluate their own work. Changes in New Edition·More illustrations, tables, figures, and bulleted lists to enhance understanding·More and simpler explanations of complex process ·A greater balance between the various approaches to research, ranging from experimental to qualitative, with causal-comparative, survey, and evaluation in-betweenPart I ·Expanded to include additional ethical considerations when conducting research. Part II: ·Renamed "Carrying out Fundamental Steps of Research"·Additional details regarding measurement and observation ·Expanded discussion of the application of design criteriaPart III: ·Renamed "Carrying out Quantitative Research"·Additional chapters on experimental research, correlational and causal-comparative research, survey research, and evaluation research.
R 11,173.00
Research Methods Using R
Providing complete coverage of advanced research methods for undergraduates, Daniel H. Baker supports students in their mastery of more advanced research methods and their application in R. This brand new title brings together coverage of a variety of topics for readers with basic statistical knowledge. It begins with material on the fundamental tools - nonlinear curve fitting and function optimization, stochastic methods, and Fourier (frequency) analysis - before leading readers on to more specialist content - bivariate and multivariate statistics, Bayesian statistics, and machine learning methods. Several chapters also discuss methods that can be used to improve researchpractises, including power analysis, meta-analysis, reproducible data analysis.Written to build a student's confidence with using R in a step-by-step way, early chapters present the essentials, ensuring that the content is accessible to those that have never programmed before. By giving them a feel for how the software works in practice, students are gradually introduced to simple examples of techniques before building up to more detailed implementations demonstrated in worked examples. Readers are also presented with opportunities to try analysis techniques for themselves. Practice questions are presented at the end of each chapter with answer guidance supplied in the book, while multiple-choice-questions with instant feedback can be accessed online. The author also provides datasets online which students can use to practise their new skills. Digital formats and resourcesThis book is available for students and institutions to purchase in a variety of formats, and is supported by online resources.- The e-book offers a mobile experience and convenient access along with functionality, navigation features, and links that offer extra learning support. This book is accompanied by online resources including multiple-choice-questions with instant feedback, example code, and data files allowing students to run examples independently.
R 1,736.00
Integration of Constraint Programming, Artificial Intelligence, and Operations Research
This book constitutes the proceedings of the 15th International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming for Combinatorial Optimization Problems, CPAIOR 2018, held in Delft, The Netherlands, in June 2018.The 47 full papers presented together with 3 abstracts of invited talks and 3 abstracts of fast-track journal papers were carefully reviewed and selected from 111 submissions. The conference brings together interested researchers from constraint programming, artificial intelligence, and operations research to present new techniques or applications in the intersection of these fields and provides an opportunity for researchers in one area to learn about techniques in the others, and to show how the integration of techniques from different fields can lead to interesting results on large and complex problems.
R 2,229.29
Business Optimization Using Mathematical Programming
This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.
R 4,030.00
Impact of Emerging Technologies on Computer Science and Operations Research
The emergence of high-performance computers and sophisticated software tech nology has led to significant advances in the development and application of operations research. In turn, the growing complexity of operations research models has posed an increasing challenge to computational methodology and computer technology. This volume focuses on recent advances in the fields of Computer Science and Operations Research, on the impact of technologi cal innovation on these disciplines, and on the close interaction between them. The papers cover many relevant topics: computational probability; design and analysis of algorithms; graphics; heuristic search and learning; knowledge-based systems; large-scale optimization; logic modeling and computation; modeling languages; parallel computation; simulation; and telecommunications. 1 This volume developed out of a conference held in Williamsburg, Virginia, January 5-7, 1994. It was sponsored by the Computer Science Technical Section of the Operations Research Society of America. The conference was attended by over 120 people from across the United States, and from many other countries. We would like to take this opportunity to thank the participants of the con ference, the authors, the anonymous referees, and the publisher for helping produce this volume. We express our special thanks to Bill Stewart and Ed Wasil for serving as Area Editors.
R 6,814.48
Optical Design Using Excel
A practical introductory guide to optical design covering geometrical optics, simple wave-optics and diffraction, using Excel software• explains practical calculation methods for designing optical systems with fully worked-out examples and avoiding complex mathematical methods• includes practical calculations for ray tracing, laser beam (Gaussian beam) focusing, and diffraction calculations; the ray tracing and the diffraction calculations are done by using the VBA program which Excel provides as a supporting tool• describes basic optical theory and application methods, and provides readers with calculation methods for designing laser optical systems with numerous practical calculation examples. After finishing the book, even inexperienced readers should have the ability to design laser optical systems• covers large areas of geometrical optics and diffraction theory, providing a good overview and reference for beginners or non-specialist engineers• accompanied by a website including password protected electronic files
R 4,753.00
Outsourcing
Outsourcing has become a crucial tool for industries, societies and governments alike, making it an important area of study within Management Science (MS) and Operations Research (OR). This book focuses on the intersections of outsourcing with MS and OR, beginning each chapter with fundamental concepts and exploring the benefits, advantages, disadvantages, real-world examples, applications, theories, and potential future developments. The content spans a broad range of topics, drawing examples from both the private and public sector. The book also delves into future trends and the evolving role of outsourcing.Outsourcing is commonly employed to achieve faster results, reduce costs, distribute risk, enhance efficiency, and maintain flexibility. This book connects these aspects with MS and OR models, providing a comprehensive interface between engineering/technology and the organizational, economic, administrative, and planning strategies needed for managing outsourcing effectively.This book is intended for professionals in the fields of energy, engineering, information science, mathematics, economics, etc., and for researchers who wish to develop new skills in outsourcing, or who employ outsourcing as part of their work. As the second volume in a two-part series, it focuses on real-world cases and studies.
R 2,931.00
Using Microsoft Excel 2007
A Quick Reference Guide to Microsoft(R) Excel. Includes tips, tricks and shortcuts. Easy to follow steps written in non-technical terms. Many computer manuals are TMI (Too Much Info). The steps in this guide are brief and "to the point". Using Microsoft(R) Excel 2007 is the desk reference every user needs to become proficient in the new version of Excel.
R 619.32
R 956.54
Digital Technologies for Engineering Construction Information Productivity
Digital Technologies for Engineering Construction Information Productivity goes beyond other digital construction books by examining how emerging digital construction technologies and other popular technologies developed by, for example, Microsoft can be used in improving the productivity of construction information.The book discusses both the theory and practice through use-case illustrations in integrated software environments and successfully blends applications and workflows of construction technologies with more common and non-industry-specific software systems. It seeks to unleash the power of readily available digital technologies in optimizing the productivity of construction project information management.This book is essential for students, academics, educators, construction professionals, and construction software developers. For students, the book provides a solid foundation in understanding digital construction technologies including building information modelling (BIM) and some selected Microsoft Products and their applications in managing construction project information. For academics and educators, it will provide insights into research niches around integration of the different digital technologies and serve as a useful text for teaching at undergraduate and postgraduate levels in Architecture, Engineering, and Construction (AEC) subjects. Professionals will find this useful for the adoption of digital technologies in their own practice while software developers will find this beneficial in the development of interoperability software for efficient information exchange between the various software systems.
R 10,751.26
R 870.43
Essentials of Operations Management
Covering the most critical topics and strategies in the field, Essentials of Operations Management provides business students with the most up-to-date coverage of modern topics not always found in other texts, such as human resources in operations, facility location, "green" operations, and the balanced scorecard approach to operations. Author Scott Young draws on his many years of teaching experience at both the undergraduate and MBA level to provide the essential content necessary for success in operations—in an affordable text. Key Features Includes a complete chapter (Chapter 4) on managing the operations workforce—an important topic for the well-rounded operations manager Applies "The Balanced Scorecard" approach to operations in Chapter 5, introducing students to a performance measure that balances customer, internal processes and learning and growth measures against traditional financial measures Covers sustainable operations in Chapter 7, including discussions of "green" operations and why they are important for any new operations manager Includes end-of-chapter projects and exercises that help students apply concepts to real-life situations Provides students with ample review opportunities through additional end-of-chapter features such as review questions, key terms, and summary points Instructor Resources on CD include PowerPoint® slides, chapter overviews, lecture outlines, review questions, and additional cases. Essentials of Operations Management is appropriate for undergraduate or MBA students taking Operations Management, Production and Operations Management, or Operations Strategy courses in schools of business.
R 5,886.33
Statistical Data Analysis Using Your Personal Computer
What should you see when you′re analyzing real data using one of the major statistical packages, such as SPSS, SAS or Microsoft Excel? This book will show you, and will walk you through the output from a variety of statistical outcomes, such as data reflecting a single common factor. Through the use of actual demonstrations, the authors supply readers with the computer programs necessary to simulate data sets with the statistical properties (usually multivariate) that are often assumed of real data. The reader is then shown how to analyze these data sets and how to interpret the results. The book begins with a general introduction to doing research and tips for using the three statistical packages. The authors next explore how to create data structures and perform univariate, bivariate, and multivariate simulations. They then show how to use the simulations to understand common statistical algorithms and their outputs when doing a basic correlation analysis, exploratory factor analysis, confirmatory factor analysis, multidimensional scaling, multiple regression, discriminate analysis, classification analysis and MANOVA. Throughout the book, the authors provide the reader with helpful guides, such as: *Hint boxes to give readers tips for executing particular techniques using the statistical software packages. *Steps that show each stage of a procedure, such as importing an Excel file into SAS. *Problems end each chapter so the reader can practice the techniques described. *Web Site with the SAS and SPSS programs and sample data.
R 4,945.38
Data Analysis Using SQL and Excel
A practical guide to data mining using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis—SQL and Excel—to perform sophisticated data analysis without the need for complex and expensive data mining tools. Written by a leading expert on business data mining, this book shows you how to extract useful business information from relational databases. You'll learn the fundamental techniques before moving into the "where" and "why" of each analysis, and then learn how to design and perform these analyses using SQL and Excel. Examples include SQL and Excel code, and the appendix shows how non-standard constructs are implemented in other major databases, including Oracle and IBM DB2/UDB. The companion website includes datasets and Excel spreadsheets, and the book provides hints, warnings, and technical asides to help you every step of the way. Data Analysis Using SQL and Excel, 2nd Edition shows you how to perform a wide range of sophisticated analyses using these simple tools, sparing you the significant expense of proprietary data mining tools like SAS. Understand core analytic techniques that work with SQL and ExcelEnsure your analytic approach gets you the results you needDesign and perform your analysis using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to best use the tools you already know to achieve expert results.
R 1,832.00
Rethinking Quality: The Innovative, Agile Tools And Concepts Of Superior Quality Management
Rethinking Quality provides a thorough exploration of modern and innovative Quality Management (QM) throughout the business value chain. This book delves into the processes and thinking required in managing the value change from the supply side through across all functions of the value chain. The best and most agile quality practices in performance, particularly in the production, trading, service, and information industries are presented, interpreted, and explained in practice.This text begins by renegotiating and extending how we think about QM, followed by informing the reader about modern developments and trends. Topics such as Integrated Management Systems (IMS), Total Quality Management (TQM), the EFQM excellence model, the Cost of Quality (COQ), Service Quality Management (SQM), Quality Management Systems (QMS), and Artificial Intelligence (AI) are all studied and evaluated alongside the use of industry examples and case studies to reveal the diversity of opportunities for QM methodologies and principles. Quality Management tools and concepts are consistently provided and explained in ways tailored towards practical application and understanding.This book is an ideal guide for professionals and practitioners who wish to incorporate QM concepts into their own practices to achieve a competitive advantage across all business functions. But beyond being used in practice, readers will also find herein a unique academic depth in this field that will provide value for students, researchers, and academics.
R 2,865.39
Operations Management for Healthcare
This fully updated edition of the bestselling textbook on Health Service Operations Management provides an invaluable reference for students and researchers in the fields of healthcare management, operations management and patient flow logistics. Featuring theoretical frameworks and a comprehensive set of practical case studies, this book also covers subjects such as hospital planning and supply chain management in healthcare, quality assurance and performance management. Healthcare managers work together with healthcare professionals in a multitude of challenging scenarios. Trade-offs have to be made between waiting times for customers and efficient use of scarce resources, between quality of care and quality of services, between the perspective of a single pathway and the total system, and between the perspective of a single provider and that of a network of providers working together in the chain of primary care, hospitals, nursing homes and home care. This book guides healthcare students and professionals through a set of practical tools and resources, ranging from simple queueing models to more complicated analytical models, to help address these issues. The book can be used at an undergraduate level by introducing concepts, definitions and approaches, and at a postgraduate level through the application of approaches to operations management problems in healthcare practice. It will serve as a primary textbook for a health service operations management course module in a Master's program on healthcare management.
R 5,850.44
Multiple Criteria Decision Making and Risk Analysis Using Microcomputers
Roughly nine years ago, the two editors met for the first time in Amsterdam, the Netherlands at the EURO III meeting (organized by the Association of European Operational Research Societies) there. As a result of our initial meeting, the two of us planned and carried out a number of activities in the multiple criteria decision making area, much of it supported by the North Atlantic Treaty Organization (NATO). The latest of these activities was a NATO Advanced Study Institute (ASI) on multiple criteria. decision making and risk analysis using microcomputers. The institute was held in Tarabya, Istanbul, TURKEY, on June 28 - July 8, 1987. We received over 100 applications from professors (and a few graduate students) in 13 countries. Roughly half of them were able to participate. The ASI was a great success! Substantial knowledge transfer and learning took place. In addition to the planned presentations, we had several panels and round table discussions. Though we had planned these in advance, we implemented them to fit the occasion, and also organized a few special sessions on site to respond to participants' interests.
R 4,814.56
Researcher's Guide to Using Electronic Health Records
In an age when electronic health records (EHRs) are an increasingly important source of population data, this is the essential textbook for any researcher using EHRs to conduct research and analysis. Split into three parts, the book covers the whole research journey, beginning with the planning a research project, accessing and organizing EHR data, and the issues to be mindful of. The second part looks at the core research process, including sampling and analysis, measures of validity and statistical Inference. The final part introduces the presentation of a piece of research, its publication, and also includes a range of case studies.Supported by examples and insights throughout, and applicable across a range of research software programs (R, SPSS and SAS), this is the ideal text for students and researchers engaging with EHR across epidemiological and clinical research.
R 9,338.05
Integration of Constraint Programming, Artificial Intelligence, and Operations Research
This book constitutes the proceedings of the 20th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2022, held in Nice, France, during May 29–June 1, 2023. The 26 full papers and the 6 short papers presented in this book were carefully reviewed and selected from a total of 71 submissions. The content of the papers present new techniques or new applications, and provide an opportunity for researchers in one area to learn about techniques in the others. Besides they give researchers the opportunity to show how the integration of techniques from different fields can lead to interesting results on large and complex problems.
R 4,309.09
Digital Twins for Simulation-Based Decision-Making
This book introduces the concept of digital twins and their purposive usage, including the technology infrastructure and the method support necessary for their construction. The landscape of digital twins is illustrated through a range of use cases spread across different application domains such as strategy and business assessment in enterprises, logistics networks, manufacturing industries, chemical and refinery systems, sustainable food ecosystems, and public healthcare. All these examples show how digital twins are exploited to simulate complex scenarios depending on various external factors - all of which would not be feasible as real-world simulations because of their high costs, potential fatal damages, and unpredictable side effects. The book is written for professionals in industry who would like to learn about the application of these powerful methodologies and tools in various areas as well as for researchers in computer science who would like to draw inspirations for further development of this technology from real-world applications.
R 4,396.00
Testing Statistical Assumptions in Research
Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met. Testing Statistical Assumptions in Research discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size. It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variables automatically. It then goes on to cover different assumptions required in survey studies, and the importance of designing surveys in reporting the efficient findings. The book provides various parametric tests and the related assumptions and shows the procedures for testing these assumptions using SPSS software. To motivate readers to use assumptions, it includes many situations where violation of assumptions affects the findings. Assumptions required for different non-parametric tests such as Chi-square, Mann-Whitney, Kruskal Wallis, and Wilcoxon signed-rank test are also discussed. Finally, it looks at assumptions in non-parametric correlations, such as bi-serial correlation, tetrachoric correlation, and phi coefficient. An excellent reference for graduate students and research scholars of any discipline in testing assumptions of statistical tests before using them in their research studyShows readers the adverse effect of violating the assumptions on findings by means of various illustrationsDescribes different assumptions associated with different statistical tests commonly used by research scholarsContains examples using SPSS, which helps facilitate readers to understand the procedure involved in testing assumptionsLooks at commonly used assumptions in statistical tests, such as z, t and F tests, ANOVA, correlation, and regression analysis Testing Statistical Assumptions in Research is a valuable resource for graduate students of any discipline who write thesis or dissertation for empirical studies in their course works, as well as for data analysts.
R 4,036.00
