Search results for "Operations Research Using Excel"
Items we need to order for you
Neutrosophic Sets in Decision Analysis and Operations Research
In information technology, the concepts of cost, time, delivery, space, quality, durability, and price have gained greater importance in solving managerial decision-making problems in supply chain models, transportation problems, and inventory control problems. Moreover, competition is becoming tougher in imprecise environments. Neutrosophic sets and logic are gaining significant attention in solving real-life problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistency, and indeterminacy.Neutrosophic Sets in Decision Analysis and Operations Research is a critical, scholarly publication that examines various aspects of organizational research through mathematical equations and algorithms and presents neutrosophic theories and their applications in various optimization fields. Featuring a wide range of topics such as information retrieval, decision making, and matrices, this book is ideal for engineers, technicians, designers, mathematicians, practitioners of mathematics in economy and technology, scientists, academicians, professionals, managers, researchers, and students.
R 7,972.84
R 1,957.11
Operations Research II
Unter Operations Research versteht man die Anwendung von wissenschaftlichen Erkenntnissen auf das Problem der Entscheidungsfindung in der Unsicherheits- oder Risikosituation, mit dem Ziel, den Entscheidungsträgem bei der Suche nach optima- len Lösungen eine quantitative Basis zu liefern. Dabei können grundsätzliche Er- kenntnisse aus allen wissenschaftlichen Disziplinen herangezogen werden. Diese Begriffsbestimmung von Operations Research (kurz OR) ist das Ergebnis ei- nes von der Operational Research Society ausgeschriebenen Wettbewerbs über eine Definition von OR. Die wesentlichen Begriffsmerkmale dieser Definition sind: (1) Mit OR sollen Entscheidungen mit wissenschaftlichen Erkenntnissen vorbereitet werden (Entscheidungsvorbereitung); (2) Es werden optimale Lösungen angestrebt. Üblicherweise geht es bei der Ent- scheidungsvorbereitung um die Untersuchung und den Vergleich von alternati- ven Entscheidungsmöglichkeiten. alternativen Strategien oder alternativen Sy- stementwürfen; (3) Die Entscheidungsvorbereitung soll eine quantitative Basis liefern. Dies setzt voraus, daß die Daten, die in ein OR-Modell eingehen, quantifizierbar und hin- reichend genau bestimmbar sind; (4) Es werden grundsätzlich Erkenntnisse aus allen wissenschaftlichen Disziplinen herangezogen, soweit sie zum Verständnis des Problems und zu seiner Lösung beitragen können. OR ist insoweit interdisziplinär ("Teamwork"); (5) Der Entscheidungsträger befindet sich bei der Suche nach einer optimalen Lö- sung in einer Ungewißheits-oder Risikosituation, d. h. er hat nur mangelhafte Kenntnisse über die künftige Entwicklung (OR geht also nicht von der Prämisse der vollständigen Information aus). Dieser zweite Band der Darstellung des Operations Research berücksichtigt insbe- sondere die Tatsache, daß sich der Entscheidungsträger bei der Suche nach optima- len Lösungen in einer Risikosituation befindet.
R 1,773.52
Operations Research and Enterprise Systems
This book constitutes the refereed proceedings of extended papers of the 13th International Conference on Operations Research and Enterprise Systems, ICORES 2024, held in Rome, Italy, during February 24–26, 2024The 4 full papers and 4 short papers included in this book were carefully reviewed and selected from 63 submissions. This ICORES 2024 focus to bring together researchers, engineers, faculty,and practitioners interested in both theoretical advances and practical applications of operations research.
R 2,535.99
R 580.00
Perspectives in Operations Research
A Symposium was held on February 25, 2006 in honor of the 80th birthday of Saul I. Gass and his major contributions to the field of operations research over 50 years. This volume includes articles from each of the Symposium speakers plus 16 other articles from friends, colleagues, and former students. Each contributor offers a forward-looking perspective on the future development of the field.
R 4,947.06
R 732.25
Operations Research in der Produktionspraxis
Die wissenschaftliche Unternehmensfiihrung hat in den letzten fiinfzehn Jahren neue, erfolgversprechende Wege eingeschlagen und deshalb auBer- ordentlich groBe Bedeutung erlangt. Abweichend von den Erkenntnissen und den herkommlichen "Oberlegungen, die den RationalisierungsmaBnahmen vorangegangen sind, werden heute Probleme mit Hilfe mathematisch-statisti- scher Methoden mit wissenschaftlicher Griindlichkeit untersucht und gelost. Die Rationalisierungsmoglichkeiten, die die mathematisch-statistischen Unter. suchungsmethoden bieten, sind so zahlreich, daB hier nur die bekanntesten Methoden eingehend dargestellt werden konnen. Mit diesen Methoden, die unter dem Namen Operations Research (Unternehmensforschung) bekannt- geworden sind, werden heute Entscheidungen getroffen die nicht nur die Gewinne erhohen, sondern auch Fehlentscheidungen rechtzeitig erkennen las- sen. W?hrend sich die herkommliche Rationalisierung mit einer Problem- losung besch?ftigt, befaBt sich Operations Research haupts?chlich, aber nicht ausschlieBlich, mit vorbeugenden MaBnahmen und dadurch auch mit der Verlustverhinderung. Eine derartige wissenschaftliche Analyse hat durch die Entwicklung der Ma- thematik und die schnelle Verbreitung bzw. Anwendung der elektronischen Datenverarbeitungsanlagen einen groBen Auftrieb erhalten. Zwar konnen die Rechenoperationen manuell durchgefiihrt werden, doch ist diese Methode sehr zeitraubend. Nur mit einer elektronischen Datenverarbeitungsanlage (EDV A) lassen sich die Berechnungen wirtschaftlich ausfiihren. Die Anwen- dung des Operations Research ist weniger durch den technischen Fortschritt als vielmehr durch die neuen mathematischen Verfahren bedingt. Allerdings hat die technische Entwicklung oft die Unternehmensfiihrung dazu gezwun- gen, schnell arbeitende Rechenanlagen zu verwenden, um die gewinnbrin- genden Vorteile des technischen Fortschritts auszunutzen.
R 2,346.39
Introduction to Mathematical Models in Operations Planning
Discover the intricate nature of a company's production function and the comprehensive principles of planning operations in this book. Through practical applications and enriched by numerical examples, readers gain essential knowledge of elementary mathematical methods in operations planning. The inclusion of the powerful R programming language, accompanied by code scripts and real-world examples, enhances the learning experience. Blending theory with practice, this resource equips readers with the tools necessary to optimize production systems, make informed decisions, and gain a competitive edge in today's dynamic business landscape.
R 1,270.44
Profiles in Operations Research
Profiles in Operations Research: Pioneers and Innovators recounts the development of the field of Operations Research (OR), the science of decision making. The book traces the development of OR from its military origins to a mature discipline that is recognized worldwide for its contributions to managerial planning and complex global operations. Over the past six decades, OR analyses have impacted our daily lives: when making an airline or hotel reservation, waiting in line at a bank, getting the correctly blended fuel at the gas station, and ensuring that the book you are holding arrived at its destination on time. OR originated in the late 1930s when British scientists from various disciplines joined Royal Air Force officers to determine the most effective way to employ new radar technology for intercepting enemy aircraft. During World War II, similar applied research groups were formed to study, test, and evaluate military operations on both sides of the Atlantic. Their work resulted in great improvements—OR helped the Allies win the war. The scientific field that emerged from these studies was called operational research in the U.K. and operations research in the U.S. Today, OR provides a broad and powerful science to aid decision making. Profiles describes the lives and contributions of 43 OR pioneers and innovators and relates how these individuals, with varying backgrounds and diverse interests, were drawn to the nascent field of OR. The profiles also describe how OR techniques and applications expanded considerably beyond the military context to find new domains in business and industry. In addition to their scientific contributions, these profiles capture the life stories of the individuals—interwoven with personal tales, vivid vignettes, family backgrounds, and views of the mission and future of OR. Collectively, the profiles recount the fascinating story of the growth and development of a field enriched by the convergence of different disciplines. The Editors: Arjang A. Assad is Dean of the School of Management, University at Buffalo, State University of New York. Saul I. Gass is Professor Emeritus, Department of Decision, Operations & Information Technologies, Smith School of Business, University of Maryland, College Park.From the ReviewsProfiles In Operations Research: Pioneers and Innovators.Book Review by Nigel Cummings: U.K. OR Society's e-journal, Inside OR., Sept 2011."I can thoroughly recommend this book. I found it both enlighteningand undeniably gripping, so much so in fact, you may find it difficultto put it down once you have commenced reading it.Arjang A. Assad and Saul I. Gass have created a masterwork whichwill serve to immortalise [stet] the pioneers of O.R. for many years to come."*For a list of all known typos, plus further discussion on the book, please visit http://profilesinoperationsresearch.com.
R 4,396.00
Financial Modeling and Reporting with Microsoft Power BI
Design powerful financial reports in Power BI by building models, measures, and dashboards tailored for real-world accounting and analyticsKey FeaturesBuild a complete financial data model from ledgers, journals, and budgetsMaster DAX for income statements, KPIs, and performance analysisLearn Power BI Paginated and AI tools for printable and predictive reportingPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionFinancial Modeling and Reporting with Microsoft Power BI is the definitive guide to designing high-performance, flexible, and insightful financial reports using Power BI. This Power BI book empowers finance and BI professionals to create everything from trial balances to enterprise-wide performance dashboards with ease and precision.The book starts by helping you define your reporting goals and data sources, mapping these needs to Power BI’s capabilities. You’ll then build a core financial data model—covering ledger transactions, charts of accounts, and multi-company support. As you proceed, you’ll integrate complex DAX measures, handle foreign exchange and journal entries, and extend your model with budgeting and inventory data.Each chapter builds toward a comprehensive suite of reports, complete with visual best practices and tested metrics. You’ll learn to streamline datasets using Power Query, test for data integrity, and generate printable reports via Power BI Paginated. The final chapters dive into using AI, predictive analytics, and Microsoft Fabric to future-proof your reporting.Whether you're consolidating data across systems or evolving your reports for changing business needs, this hands-on guide ensures you’re prepared to meet the demands of modern finance.What you will learnBuild core financial models from ledgers and accountsCreate Trial Balance and Income Statements using DAXOptimize Power BI with Power Query and data transformationAdd budgets, targets, and KPIs to performance dashboardsIntegrate inventory data for nuanced stock reportingProduce printable reports using Power BI PaginatedApply AI for report generation and predictive analyticsTest, tune, and evolve reports for secure, scalable useWho this book is forThis book is for finance professionals, accountants, financial analysts, and BI developers who want to leverage Power BI to improve, automate, and future-proof their financial reporting. Whether consolidating data from ERPs, building reports across entities, or exploring advanced Power BI features, this book equips readers with practical skills and strategic insight.
R 1,628.00
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.
R 2,954.90
Optimization and Operations Research
The variable metric algorithm is widely recognised as one of the most efficient ways of solving the following problem:- Locate x* a local minimum point n ( 1) of f(x) x E R Considerable attention has been given to the study of the convergence prop- ties of this algorithm especially for the case where analytic expressions are avai- ble for the derivatives g. = af/ax. i 1 ••• n • (2) ~ ~ In particular we shall mention the results of Wolfe (1969) and Powell (1972), (1975). Wolfe established general conditions under which a descent algorithm will converge to a stationary point and Powell showed that two particular very efficient algorithms that cannot be shown to satisfy \,olfe's conditions do in fact converge to the minimum of convex functions under certain conditions. These results will be st- ed more completely in Section 2. In most practical problems analytic expressions for the gradient vector g (Equ. 2) are not available and numerical derivatives are subject to truncation error. In Section 3 we shall consider the effects of these errors on Wolfe's convergent prop- ties and will discuss possible modifications of the algorithms to make them reliable in these circumstances. The effects of rounding error are considered in Section 4, whilst in Section 5 these thoughts are extended to include the case of on-line fu- tion minimisation where each function evaluation is subject to random noise.
R 2,015.00
Operations Research and Enterprise Systems
This book constitutes the refereed proceedings of the Third International Conference on Operations Research and Enterprise Systems, ICORES 2014, held in Angers, France, in March 2014. The 18 revised full papers presented together with an invited paper were carefully reviewed and selected from 96 submissions. The papers are organized in topical sections on Methodologies and Technologies and Applications.
R 2,176.09
Operations Research Proceedings 2012
This book contains selected papers presented at the "International Annual Conference of the German Operations Research Society (OR2012)" which was held September 4 -7, 2012 at the Leibniz Universität Hannover, Germany. The international conference, which also serves as the annual meeting of the German Operations Research Society (GOR), attracted more than 500 participants from more than 39 countries. Special attention at the conference was given to the three topics "Energy, Markets and Mobility". The OR2012 conference has addressed these topics from an OR perspective, treating them not only in isolation, but also with respect to their numerous and exciting interconnections, such as new energy for new mobility concepts and new market mechanisms for sustainable energy production to name but a few. The proceedings show that this conference topic is an important and promising area to apply Operations Research. The book also contains numerous papers addressing the full scope of fields in Operations Research.
R 8,521.78
Overlapping Tendencies in Operations Research Systems Theory and Cybernetics
0.1 Gaps in Optimizing A comparison of the levels of development of Operations Research, Simulation Technique and Optimal Control Theory appears to gain increasing interest. Operations Research Sciences achieved very high mathematical standards and solved a great amount of important optimization problems, mainly at the level of management of private corporation and civil or military government tasks, however, these achievements are seldom incorporated in the mathematical curriculum of modern universities. Nevertheless, Operations Research seems to have failed in solving long range or strategical problems as they arise in any broader social, economical or political context (MUller-Merbach, 1976). Also for the weakest task, namely that of improving theory building, system simulation works as an optimization tool. Simulation models of large complex systems, like socio economical or political ones, failed until now to fit large empirical data bases. This was, in fact, one of the few serious objections against the form in which Forrester solved some problems modelling and simulating urban and world de velopments (Forrester, 1969; Forrester, 1971; IEEE-SCC October 197o; IEEE-SMC April 1972; Mass, 1974; Schroeder, 1975).
R 1,254.00
Applications of Operations Research to Health Care Delivery Systems
l-';icoI:.io:::.; 0: (1llL~*aL'.On~; n:~\.!iI:-c:: te"hniC),'<"s to 1::c dc1ivCl'y <,r !J(';llth '.:'II'C. The app~i(,;a'~ic::~; h
R 3,008.09
Operations Planning
A reference for those working at the interface of operations planning and optimization modeling, Operations Planning: Mixed Integer Optimization Models blends essential theory and powerful approaches to practical operations planning problems. It presents a set of classical optimization models with widespread application in operations planning. The discussion of each of these classical models begins with the motivation for studying the problem as well as examples of the problem’s application in operations planning contexts. The book explores special structural results and properties of optimal solutions that have led to effective algorithmic solution approaches for each problem class.Each of the models and solution methods presented is the result of high-impact research that has been published in the scholarly literature, with appropriate references cited throughout the book. The author highlights the close relationships among the models, examining those situations in which a particular model results as a special case of other related models or how one model generalizes another. Understanding these relationships allows you to more easily characterize new models being developed through their relationships to classical models. The models and methods presented in the book have widespread application in operations planning. It enables you to recognize the structural similarities between models and to recognize these structural elements within other contexts. It also gives you an understanding of various critical operations research techniques and classical operations planning models, without the need to consult numerous sources.
R 3,815.21
R 915.00
Fuzzy Sets in Decision Analysis, Operations Research and Statistics
Fuzzy Sets in Decision Analysis, Operations Research and Statistics includes chapters on fuzzy preference modeling, multiple criteria analysis, ranking and sorting methods, group decision-making and fuzzy game theory. It also presents optimization techniques such as fuzzy linear and non-linear programming, applications to graph problems and fuzzy combinatorial methods such as fuzzy dynamic programming. In addition, the book also accounts for advances in fuzzy data analysis, fuzzy statistics, and applications to reliability analysis. These topics are covered within four parts: Decision Making, Mathematical Programming, Statistics and Data Analysis, and Reliability, Maintenance and Replacement. The scope and content of the book has resulted from multiple interactions between the editor of the volume, the series editors, the series advisory board, and experts in each chapter area. Each chapter was written by a well-known researcher on the topic and reviewed by other experts in the area. These expert reviewers sometimes became co-authors because of the extent of their contribution to the chapter. As a result, twenty-five authors from twelve countries and four continents were involved in the creation of the 13 chapters, which enhances the international character of the project and gives an idea of how carefully the Handbook has been developed.
R 6,030.23
Mathematical Optimization Theory and Operations Research
This book constitutes the proceedings of the 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020, held in Novosibirsk, Russia, in July 2020. The 31 full papers presented in this volume were carefully reviewed and selected from 102 submissions. The papers are grouped in these topical sections: discrete optimization; mathematical programming; game theory; scheduling problem; heuristics and metaheuristics; and operational research applications.
R 2,207.40
Operations Excellence
Achieving operative excellence is an important endeavour for all companies – it is the golden path that leads to increased value over the long term. Through this book you too can achieve operations excellence within your own company.
R 1,560.21
Behavioral Operations in Planning and Scheduling
Human and organizational factors have a substantial impact on the performance of planning and scheduling processes. Despite widespread and advanced decision support systems, human decision makers are still crucial to improve the operational performance in manufacturing industries. In this text, the state of the art in this area is discussed by experts from a wide variety of engineering and social science disciplines. Moreover, recent results from collaborative studies and a number of field cases are presented. The text is targeted at researchers and graduate students, but is also particularly useful for managers, consultants, and system developers to better understand how human performance can be advanced.
R 4,685.14
Industrial Chemical Process Analysis and Design
Industrial Chemical Process Analysis and Design, Second Edition uses chemical engineering principles to explain the transformation of basic raw materials into major chemical products. The book discusses traditional processes to create products like nitric acid, sulphuric acid, ammonia, and methanol, as well as more novel products like bioethanol and biodiesel.In addition to providing full code and datasets for download, detailed discussion of advanced in technology, this edition also contains three new chapters. Firstly, covering polymers, including H and L D PE, PMMA, PC, biobased and full analysis of each, including full code for modelling across popular software. Secondly , evaluating phosphoric acid production and fertilizers, and Finally, the third new chapter focuses on blast furnaces – outlining not only the traditional technologies using C as reducing agent, but also analysis of novel technologies using hydrogen. This book will be a comprehensive guide to students and academics working with the latest techniques in process optimization at graduate level and above, including some upper undergraduate researchers. This book will also be very valuable for academics looking to teach or lecture in chemical process engineering. This books will also be a very useful resource for anyone within the process industry - to introduce the analysis of novel technologies as well as the modelling examples including recent software such as python, gProms or even Excel or Matlab to solve reactor modelling and units operation but also process simulators applied to typical chemical processes.
R 4,384.00
Handbook of Healthcare Operations Management
From the Preface:Collectively, the chapters in this book address application domains including inpatient and outpatient services, public health networks, supply chain management, and resource constrained settings in developing countries. Many of the chapters provide specific examples or case studies illustrating the applications of operations research methods across the globe, including Africa, Australia, Belgium, Canada, the United Kingdom, and the United States.Chapters 1-4 review operations research methods that are most commonly applied to health care operations management including: queuing, simulation, and mathematical programming. Chapters 5-7 address challenges related to inpatient services in hospitals such as surgery, intensive care units, and hospital wards. Chapters 8-10 cover outpatient services, the fastest growing part of many health systems, and describe operations research models for primary and specialty care services, and how to plan for patient no-shows. Chapters 12 – 16 cover topics related to the broader integration of health services in the context of public health, including optimizing the location of emergency vehicles, planning for mass vaccination events, and the coordination among different parts of a health system. Chapters 17-18 address supply chain management within hospitals, with a focus on pharmaceutical supply management, and the challenges of managing inventory for nursing units. Finally, Chapters 19-20 provide examples of important and emerging research in the realm of humanitarian logistics.
R 8,010.03
Optimal Operation and Control of Power Systems Using an Algebraic Modelling Language
This book presents mathematical models of demand-side management programs, together with operational and control problems for power and renewable energy systems. It reflects the need for optimal operation and control of today’s electricity grid at both the supply and demand spectrum of the grid. This need is further compounded by the advent of smart grids, which has led to increased customer/consumer participation in power and renewable energy system operations. The book begins by giving an overview of power and renewable energy systems, demand-side management programs and algebraic modeling languages. The overview includes detailed consideration of appliance scheduling algorithms, price elasticity matrices and demand response incentives. Furthermore, the book presents various power system operational and control mathematical formulations, incorporating demand-side management programs. The mathematical formulations developed are modeled and solved using the Advanced Interactive Multidimensional Modeling System (AIMMS) software, which offers a powerful yet simple algebraic modeling language for solving optimization problems. The book is extremely useful for all power system operators and planners who are concerned with optimal operational procedures for managing today’s complex grids, a context in which customers are active participants and can curb/control their demand. The book details how AIMMS can be a useful tool in optimizing power grids and also offers a valuable research aid for students and academics alike.
R 5,611.52
Controller's Guide to Planning and Controlling Operations
The Controllers Guide to Planning and Controlling Operations is a comprehensive guide for controllers, CFOs, and budget managers who need to determine: The soundness of sales forecasts The best approach for setting product prices The profitability of customers and market segments Federal tax remittance rules The impact of a just-in-time system on inventory levels Packed with clear and realistic strategies, it helps create a coherent framework of financial plans that apply to the full breadth of ongoing corporate control systems, as well as illustrates: When to use labor and materials standards to control manufacturing How to control research and development costs How to grant appropriate credit levels to customers How to set up an effective capital budgeting process How to create a cost-of-capital calculation
R 3,094.00
Operational Research in the Digital Era – ICT Challenges
This proceedings volume highlights the role and importance of Operational Research (OR) in the digital era and the underlying ICT challenges. The selected papers cover recent advances in all branches of operational research, mathematical modeling and decision making. It covers a wide range of key areas from digital economy, to supply chain management, and also finance. The book adopts an applied perspective that covers the contributions of OR in the broad field of business and economics linked with the discipline of computer science. The chapters are based on papers presented at the 6th International Symposium & 28th National Conference on Operational Research. Although the conference is organized by the Hellenic Operational Research Society (HELORS), the contributions in this book promotes international co-operation among researchers and practitioners working in the field.
R 4,642.96
Mathematical Optimization Theory and Operations Research
This book constitutes the refereed proceedings of the 22nd International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2023, held in Ekaterinburg, Russia, during July 2–8, 2023. The 28 full papers and 1 short paper included in this book were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: Mathematical programming and applications; discrete and combinatorial optimization; stochastic optimization; scheduling; game theory; and optimal control and mathematical economics. The book also contains one invited talk in full paper length.
R 3,538.47
Mathematical Optimization Theory and Operations Research
This book constitutes revised and selected papers from the 18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019, held in Ekaterinburg, Russia, in July 2019. The 40 full papers and 4 short papers presented in this volume were carefully reviewed and selected from a total of 170 submissions. The papers in the volume are organised according to the following topical headings: combinatorial optimization; game theory and mathematical economics; data mining and computational geometry; integer programming; mathematical programming; operations research; optimal control and applications.
R 2,226.79
Microeconomics using Excel
Using Microsoft Excel, the market leading spreadsheet package, this book combines theory with modelling aspects and spreadsheet analysis. Microeconomics Using Excel provides students with the tools with which to better understand microeconomic analysis.It focuses on solving microeconomic problems by integrating economic theory, policy analysis and spreadsheet modelling. This unique approach facilitates a more comprehensive understanding of the link between theory and problem solving.It is divided into four core parts: analysis of price policiesanalysis of structural policiesmulti-market modelsbudget policy and priority settings.The theory behind each problem is explained and each model is solved using Excel. Microeconomics using Excel will be of great interest to students studying economics as well as to professionals in economic and policy analysis.Publisher’s NoteThe publisher has gone to great lengths to ensure the quality of this book but regrets to inform the customer that previously available online resources are no longer available with this title.
R 11,130.00
Production and Operations Management Systems
Since the beginning of mankind on Earth, if the "busyness" process was successful, then some form of benefit sustained it. The fundamentals are obvious: get the right inputs (materials, labor, money, and ideas); transform them into highly demanded, quality outputs; and make it available in time to the end consumer. Illustrating how operations relate to the rest of the organization, Production and Operations Management Systems provides an understanding of the production and operations management (P/OM) functions as well as the processes of goods and service producers. The modular character of the text permits many different journeys through the materials. If you like to start with supply chain management (Chapter 9) and then move on to inventory management (Chapter 5) and then quality management (Chapter 8), you can do so in that order. However, if your focus is product line stability and quick response time to competition, you may prefer to begin with project management (Chapter 7) to reflect the continuous project mode required for fast redesign rapid response. Slides, lectures, Excel worksheets, and solutions to short and extended problem sets are available on the Downloads / Updates tabs.The project management component of P/OM is no longer an auxiliary aspect of the field. The entire system has to be viewed and understood. The book helps students develop a sense of managerial competence in making decisions in the design, planning, operation, and control of manufacturing, production, and operations systems through examples and case studies. The text uses analytical techniques when necessary to develop critical thinking and to sharpen decision-making skills. It makes production and operations management (P/OM) interesting, even exciting, to those who are embarking on a career that involves business of any kind.
R 11,172.92
Advances in Operations Research Education
This edited monograph contains a comprehensive overview of educational developments in the fields of operations research (OR) and management science (MS). The book outlines key factors in OR/MS curricular programs and analyses different approaches regarding student enrollment and failure rates. The approach is genuinely international, whereas the focus lies on the European level. The target audience primarily comprises public policy planners in education, deans and school directors as well as program coordinators.
R 2,015.00
Developing Modular-Oriented Simulation Models Using System Dynamics Libraries
This SpringerBrief introduces the development and practical application of a module-oriented development framework for domain specific system-dynamic libraries (SDL approach), which can be used in the simulation of multi-causal and dynamic relationships on different levels of an industry, as an example the construction industry. Multidisciplinary research and development teams, scientists from different domains as well as practitioners can develop SDL units from varying perspectives based on this approach. For example, the explanation of the risk situation of a company, the identification and evaluation of project risks, endangered operational procedures on various functional levels, or to improve the understanding of the decision making process in detail. This book is an excellent source for researchers, programmers and practitioners. It enables the development of suitable simulation systems from the beginning and demonstrates that it is possible to connect the development of simulation models and daily work. It provides advanced-level students from different domains with a comprehensive overview and clear understanding of a new and valuable modeling technique.
R 1,257.73
R 702.00
Interfaces in Computer Science and Operations Research
The disciplines of computer science and operations research (OR) have been linked since their origins, each contributing to the dramatic advances of the other. This work explores the connections between these key technologies: how high-performance computing methods have led to advances in OR de ployment, and how OR has contributed to the design and development of ad vanced systems. The collected writings-from researchers and practitioners in Computer Science, Operations Research, Management Science, and Artificial Intelligence-were among those delivered at the Fifth INFORMS Computer Science Technical Section Conference in Dallas, Texas, January 8-10, 1996. The articles advance both theory and practice. Presented are new approaches to complex problems based on: metaheuristics (neural networks, genetic al gorithms, and Tabu Search), optimization and mathematical programming, stochastic methods, constraint programming, and logical analysis. These ad vanced methodologies are applied to new applications in such areas as: telecom munications network design, financial engineering, manufacturing, project man agement, and forecasting, airline and machine scheduling, vehicle routing, mod eling and decision support systems. Featured is a remarkable paper by keynote speaker Fred Glover, creator of the Tabu Search family of metaheuristics. In it he develops the principles of memory-based heuristic methods, contrasts them with the popular genetic algorithms and simulated annealing, provides a sweeping survey of application vignettes, and points to promising avenues for future research.
R 4,680.18
