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Applications of Management Science (Applications of Management Science #19)

by Kenneth Lawrence Gary Kleinman

Applications of Management Science is a blind refereed series that is published on an annual basis. Its objective is to present current studies in the application of management science to the solution of significant managerial decision-making problems. It significantly aids in the dissemination of the solution of managerial decision-making problems with management science methodologies. Volume 19 focuses on the application of management science methodologies, data envelopment analysis and multi-criteria decision making. The first section is focused on data envelopment analysis. The second section focuses on multi-criteria decision making. The third section focuses on decision making. This volume will be of significant interested to those involved in the applications of multi-criteria decision making, data envelopment analysis and decision making, in a realistic managerial problem solving environment through the use of state-of-the-art management science modelling.

Applications of Management Science: Network Optimization In Applications (Applications of Management Science #19)

by Kenneth Lawrence Gary Kleinman

Applications of Management Science is a blind refereed series that is published on an annual basis. Its objective is to present current studies in the application of management science to the solution of significant managerial decision-making problems. It significantly aids in the dissemination of the solution of managerial decision-making problems with management science methodologies. Volume 19 focuses on the application of management science methodologies, data envelopment analysis and multi-criteria decision making. The first section is focused on data envelopment analysis. The second section focuses on multi-criteria decision making. The third section focuses on decision making. This volume will be of significant interested to those involved in the applications of multi-criteria decision making, data envelopment analysis and decision making, in a realistic managerial problem solving environment through the use of state-of-the-art management science modelling.

Applications of Management Science (Applications of Management Science #17)

by Kenneth Lawrence Gary Kleinman

The objective of this research annual is to present state-of-the-art studies in the application of management science to the solution of significant managerial decision making problems. We hope that this research annual will significantly aid in the dissemination of actual applications of management science in both the public and private sectors. Topics will include: applied management science studies in finance, management, operations, supply chain and productivity. Applications of Management Science is critical reading for those academics, researchers, and practitioners of management science to the solution of significant managerial decision making problems in both the public and the private sectors.

Applications of Mathematics and Informatics in Military Science (Springer Optimization and Its Applications #71)

by Nicholas J. Daras

Analysis, assessment, and data management are core tools required for operation research analysts. The April 2011 conference held at the Helenic Military Academy addressed these issues with efforts to collect valuable recommendations for improving analysts’ capabilities to assess and communicate the necessary qualitative data to military leaders. This unique volume is an outgrowth of the April conference and comprises of contributions from the fields of science, mathematics, and the military, bringing Greek research findings to the world. Topics cover a wide variety of mathematical methods used with application to defense and security. Each contribution considers directions and pursuits of scientists that pertain to the military as well as the theoretical background required for methods, algorithms, and techniques used in military applications. The direction of theoretical results in these applications is conveyed and open problems and future areas of focus are highlighted. A foreword will be composed by a member of N.A.T.O. or a ranking member of the armed forces. Topics covered include: applied OR and military applications, signal processing, scattering, scientific computing and applications, combat simulation and statistical modeling, satellite remote sensing, and applied informatics – cryptography and coding. The contents of this volume will be of interest to a diverse audience including military operations research analysts, the military community at large, and practitioners working with mathematical methods and applications to informatics and military science.​

Applications of Mathematics and Informatics in Science and Engineering (Springer Optimization and Its Applications #91)

by Nicholas J. Daras

Analysis, assessment, and data management are core competencies for operation research analysts. This volume addresses a number of issues and developed methods for improving those skills. It is an outgrowth of a conference held in April 2013 at the Hellenic Military Academy and brings together a broad variety of mathematical methods and theories with several applications. It discusses directions and pursuits of scientists that pertain to engineering sciences. It is also presents the theoretical background required for algorithms and techniques applied to a large variety of concrete problems. A number of open questions as well as new future areas are also highlighted.This book will appeal to operations research analysts, engineers, community decision makers, academics, the military community, practitioners sharing the current “state-of-the-art,” and analysts from coalition partners. Topics covered include Operations Research, Games and Control Theory, Computational Number Theory and Information Security, Scientific Computing and Applications, Statistical Modeling and Applications, Systems of Monitoring and Spatial Analysis.

Applications of Operational Research in Business and Industries: Proceedings of 54th Annual Conference of ORSI (Lecture Notes in Operations Research)

by Angappa Gunasekaran Jai Kishore Sharma Samarjit Kar

Effective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today. While agility is a crucial issue, the firms have been increasingly relying on evidence-based decision-making through intelligent decision support systems driven by computational intelligence and automation to achieve a competitive advantage. The decisions are no longer confined to a specific functional area. Instead, business organizations today find actionable insight for formulating future courses of action by integrating multiple objectives and perspectives. Therefore, multi-objective decision-making plays a critical role in businesses and industries. In this regard, the importance of Operations Research (OR) models and their applications enables the firms to derive optimum solutions subject to various constraints and/or objectives while considering multiple functional areas of the organizations together. Hence, researchers and practitioners have extensively applied OR models to solve various organizational issues related to manufacturing, service, supply chain and logistics management, human resource management, finance, and market analysis, among others. Further, OR models driven by AI have been enabled to provide intelligent decision-support frameworks for achieving sustainable development goals.The present issue provides a unique platform to showcase the contributions of the leading international experts on production systems and business from academia, industry, and government to discuss the issues in intelligent manufacturing, operations management, financial management, supply chain management, and Industry 4.0 in the Artificial Intelligence era. Some of the general (but not specific) scopes of this proceeding entail OR models such as Optimization and Control, Combinatorial Optimization, Queuing Theory, Resource Allocation Models, Linear and Nonlinear Programming Models, Multi-objective and multi-attribute Decision Models, Statistical Quality Control along with AI, Bayesian Data Analysis, Machine Learning and Econometrics and their applications vis-à-vis AI & Data-driven Production Management, Marketing and Retail Management, Financial Management, Human Resource Management, Operations Management, Smart Manufacturing & Industry 4.0, Supply Chain and Logistics Management, Digital Supply Network, Healthcare Administration, Inventory Management, consumer behavior, security analysis, and portfolio management and sustainability. The present issue shall be of interest to the faculty members, students, and scholars of various engineering and social science institutions and universities, along with the practitioners and policymakers of different industries and organizations.

Applications of Operations Research and Management Science: Case Studies (International Series in Operations Research & Management Science #229)

by G. S. Murthy

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.

Applications of Operations Research and Management Science for Military Decision Making (International Series in Operations Research & Management Science #283)

by William P. Fox Robert Burks

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.

Applications of Regression Techniques

by Manoranjan Pal Premananda Bharati

This book discusses the need to carefully and prudently apply various regression techniques in order to obtain the full benefits. It also describes some of the techniques developed and used by the authors, presenting their innovative ideas regarding the formulation and estimation of regression decomposition models, hidden Markov chain, and the contribution of regressors in the set-theoretic approach, calorie poverty rate, and aggregate growth rate. Each of these techniques has applications that address a number of unanswered questions; for example, regression decomposition techniques reveal intra-household gender inequalities of consumption, intra-household allocation of resources and adult equivalent scales, while Hidden Markov chain models can forecast the results of future elections. Most of these procedures are presented using real-world data, and the techniques can be applied in other similar situations. Showing how difficult questions can be answered by developing simple models with simple interpretation of parameters, the book is a valuable resource for students and researchers in the field of model building.

Applications of Simulation Methods in Environmental and Resource Economics (The Economics of Non-Market Goods and Resources #6)

by Riccardo Scarpa Anna Alberini

Simulation methods are revolutionizing the practice of applied economic analysis. In this book, leading researchers from around the world discuss interpretation issues, similarities and differences across alternative models, and propose practical solutions for the choice of the model and programming. Case studies show the practical use and the results brought forth by the different methods.

Applications of Soft Computing for the Web

by Rashid Ali Mm Sufyan Beg

This book discusses the applications of different soft computing techniques for the web-based systems and services. The respective chapters highlight recent developments in the field of soft computing applications, from web-based information retrieval to online marketing and online healthcare. In each chapter author endeavor to explain the basic ideas behind the proposed applications in an accessible format for readers who may not possess a background in these fields.This carefully edited book covers a wide range of new applications of soft computing techniques in Web recommender systems, Online documents classification, Online documents summarization, Online document clustering, Online market intelligence, Web usage profiling, Web data extraction, Social network extraction, Question answering systems, Online health care, Web knowledge management, Multimedia information retrieval, Navigation guides, User profiles extraction, Web-based distributed information systems, Web security applications, Internet of Things Applications and so on. The book is aimed for researchers and practitioner who are engaged in developing and applying intelligent systems principles for solving real-life problems. Further, it has been structured so that each chapter can be read independently of the others.

Applications of Software Agent Technology in the Health Care Domain (Whitestein Series in Software Agent Technologies and Autonomic Computing)

by Antonio Moreno John L. Nealon

This volume contains a collection of papers that provides a unique, novel and up-to-date overview of how software agents technology is being applied in very diverse problems in health care, ranging from community care to management of organ transplants. It also provides an introductory survey that highlights the main issues to be taken into account when deploying agents in the health care area. The intended audience includes graduate and postgraduate students specializing in artificial intelligence and researchers interested in the application of new technologies.

Applications of Supply Chain Management and E-Commerce Research (Applied Optimization #92)

by Joseph Geunes Elif Akçali Panos M. Pardalos Zuo-Jun Max Shen H. Edwin Romeijn

In February 2002, the Industrial and Systems Engineering (ISE) De partment at the University of Florida hosted a National Science Founda tion Workshop on Collaboration and Negotiation in Supply Chain Man agement and E Commerce. This workshop focused on characterizing the challenges facing leading edge firms in supply chain management and electronic commerce, and identifying research opportunities for de veloping new technological and decision support capabilities sought by industry. The audience included practitioners in the areas of supply chain management and E Commerce, as well as academic researchers working in these areas. The workshop provided a unique setting that has facilitated ongoing dialog between academic researchers and industry practitioners. This book codifies many of the important themes and issues around which the workshop discussions centered. The editors of this book, all faculty members in the ISE Department at the University of Florida, also served as the workshop's coordinators. In addition to workshop participants, we also invited contributions from leading academics and practitioners who were not able to attend. As a result, the chapters herein represent a collection of research contributions, monographs, and case studies from a variety of disciplines and viewpoints. On the aca demic side alone, chapter authors include faculty members in supply chain and operations management, marketing, industrial engineering, economics, computer science, civil and environmental engineering, and building construction departments.

Applications of Systems Approaches at the Farm and Regional Levels: Proceedings of the Second International Symposium on Systems Approaches for Agricultural Development, held at IRRI, Los Banos, Philippines, 6–8 December 1995 (System Approaches for Sustainable Agricultural Development #5)

by P. S. Teng M. J. Kropff H. F. M. Ten Berge J. B. Dent F. P. Lansigan H. H. Van Laar

Systems approaches for agricultural development are needed to determine rational strategies for the role of agriculture in national development. Mathematical models and computer simulation provide objective tools for applying science to determine and evaluate options for resource management at field, farm and regional scales. However, these tools would not be fully utilizable without incorporating social and economic dimensions into their application. The second international symposium, Systems Approaches for Agricultural Development, held in Los Baños, 6-8 December 1995, fostered this link between the bio-physical sciences and the social sciences in the choice of keynote papers and oral presentations, a selection of which is included in this book. The book's contents further reflect how systems approaches have definitely moved beyond the research mode into the application mode. The large number and high quality of interdisciplinary research projects reported from different parts of the globe, to determine land use options that will meet multiple goals and yet sustain natural resource bases, is a key indicator of this `coming of age'. At the farm level, where trade-off decisions between processes and products (commodities) feature strongly, much progress is also evident in the development of systems-based tools for decision making. This book will be of particular interest to all agricultural scientists and planners, as well as students interested in multidisciplinary and holistic approaches for agricultural development.

Applications of Systems Approaches at the Field Level: Volume 2: Proceedings of the Second International Symposium on Systems Approaches for Agricultural Development, held at IRRI, Los Baños, Philippines, 6–8 December 1995 (System Approaches for Sustainable Agricultural Development #6)

by M. J. Kropff P. S. Teng P. K. Aggarwal Johan Bouma B. A. M. Bouman John W. Jones H. H. Van Laar

Systems approaches for agricultural development are needed to determine rational strategies for the role of agriculture in national development. Mathematical models and computer simulation provide objective tools for applying science to determine and evaluate options for resource management at field, farm and regional scales. However, these tools would not be fully utilizable without incorporating social and economic dimensions into their application. The second international symposium, Systems Approaches for Agricultural Development (SAAD), held in Los Baños, 6-8 December 1995, fostered this link between the biophysical sciences and the social sciences in the selection of keynote papers and oral presentations, a selection of which are included in these books. The contents further reflect how systems approaches have definitely moved beyond the research mode into the application mode. The large number and high quality of interdisciplinary research projects reported from different parts of the globe, to determine land use options that will meet multiple goals and yet sustain natural resource bases, is a key indicator of this `coming of age'. At the farm level, where trade-off decisions between processes and products (commodities) feature strongly, much progress is also evident in the development of systems-based tools for decision making. At the field level optimization of resource use and minimizing environmental effects has become of major concern for which systems approaches are indispensable. The books, of which Volume I deals with regional and farm studies level and Volume II with field level studies, will be of particular interest to all agricultural scientists and planners, as well as students interested in multidisciplinary and holistic approaches to agricultural development.

Applications of Systems Thinking and Soft Operations Research in Managing Complexity: From Problem Framing to Problem Solving (Advanced Sciences and Technologies for Security Applications)

by Anthony J. Masys

This book captures current trends and developments in the field of systems thinking and soft operations research which can be applied to solve today's problems of dynamic complexity and interdependency. Such ‘wicked problems’ and messes are seemingly intractable problems characterized as value-laden, ambiguous, and unstable, that resist being tamed by classical problem solving. Actions and interventions associated with this complex problem space can have highly unpredictable and unintended consequences. Examples of such complex problems include health care reform, global climate change, transnational serious and organized crime, terrorism, homeland security, human security, disaster management, and humanitarian aid. Moving towards the development of solutions to these complex problem spaces depends on the lens we use to examine them and how we frame the problem. It will be shown that systems thinking and soft operations research has had great success in contributing to the management of complexity.

Applications of the Input-Output Framework (Springer Proceedings in Business and Economics)

by Kakali Mukhopadhyay

This book provides a fresh perspective on the ever-growing relevance of input-output analysis in problem solving. It is based on the “19th National Conference of the Input-Output Research Association of India (IORA)”, held in 2017 in Mumbai, India. The conference promoted the exchange of ideas on input-output analysis and related methods among economists, government officials, policymakers, academicians and industrialists. The book captures the unique ideas of prominent scholars, extends the basic “input-output framework,” analytical tool, outlines the possible impacts of some major policy decisions adopted by the Government of India, and puts forward concrete policy suggestions. In addition, it highlights the versatility of the Leontief model, which is currently being extended to cover a diverse spectrum of policy issues, ranging from agricultural productivity to science and technology and from carbon hotspots to energy and environmental consequences. A perfect blend of theory and application, the book provides a realistic outlook on sensitive economies and interdependencies between sectors.

Applications to Wind up Companies

by Derek French

This book deals with the procedure for obtaining a winding-up order chronologically from presentation of a petition through to making the order. It also looks at the application process as it applies to various classes of petitioner, such as creditors, contributories (shareholders) and public officials. The fourth edition is completely updated to cover new legislation and new procedures. It includes new coverage of the Insolvency (England and Wales) Rules 2016, which rewrote the procedural rules for applications to wind up companies. The book also covers Regulation (EU) 2015/848 on insolvency proceedings (recast) concerning amended rules applying to jurisdiction, as well as new provisions for housing and education administration. Though focused on the procedure in the courts of England and Wales, the work also considers the jurisprudence of the many Commonwealth jurisdictions which have adopted the English procedure. This work contains all there is to know about applying (petitioning) to have companies and similar entities wound up by the court, making it essential for all lawyers who make, or defend, such applications.

Applications to Wind up Companies

by Derek French

This book deals with the procedure for obtaining a winding-up order chronologically from presentation of a petition through to making the order. It also looks at the application process as it applies to various classes of petitioner, such as creditors, contributories (shareholders) and public officials. The fourth edition is completely updated to cover new legislation and new procedures. It includes new coverage of the Insolvency (England and Wales) Rules 2016, which rewrote the procedural rules for applications to wind up companies. The book also covers Regulation (EU) 2015/848 on insolvency proceedings (recast) concerning amended rules applying to jurisdiction, as well as new provisions for housing and education administration. Though focused on the procedure in the courts of England and Wales, the work also considers the jurisprudence of the many Commonwealth jurisdictions which have adopted the English procedure. This work contains all there is to know about applying (petitioning) to have companies and similar entities wound up by the court, making it essential for all lawyers who make, or defend, such applications.

Applied Advanced Analytics: 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence (Springer Proceedings in Business and Economics)

by Arnab Kumar Laha

This book covers several new areas in the growing field of analytics with some innovative applications in different business contexts, and consists of selected presentations at the 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence. The book is conceptually divided in seven parts. The first part gives expository briefs on some topics of current academic and practitioner interests, such as data streams, binary prediction and reliability shock models. In the second part, the contributions look at artificial intelligence applications with chapters related to explainable AI, personalized search and recommendation, and customer retention management. The third part deals with credit risk analytics, with chapters on optimization of credit limits and mitigation of agricultural lending risks. In its fourth part, the book explores analytics and data mining in the retail context. In the fifth part, the book presents some applications of analytics to operations management. This part has chapters related to improvement of furnace operations, forecasting food indices and analytics for improving student learning outcomes. The sixth part has contributions related to adaptive designs in clinical trials, stochastic comparisons of systems with heterogeneous components and stacking of models. The seventh and final part contains chapters related to finance and economics topics, such as role of infrastructure and taxation on economic growth of countries and connectedness of markets with heterogenous agents, The different themes ensure that the book would be of great value to practitioners, post-graduate students, research scholars and faculty teaching advanced business analytics courses.

Applied Analysis of Growth, Trade, and Public Policy: Ten Years Of International Academic Exchanges Between Jaae And Keba

by Woohyung Lee Moriki Hosoe Iltae Kim Masahiro Yabuta

This book analyzes the various problems of growth, trade and public policy from the perspective of applied economics, based on research in areas such as public policies, trade and regulation, and development economics. Part 1 investigates the broad problems of growth and regional economy, focusing on economic developments in Japan and Korea. Part 2 discusses trade and foreign investment in Japan, mainly on an empirical basis. Part 3 then examines various public economic policies using applied analysis tools. The papers in this volume have been collected to commemorate ten years of academic exchange between the Japan Association for Applied Economics (JAAE) and the Korean Economics and Business Association (KEBA), and include an applied economic analysis of growth and trade in Korea and Japan.

Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques

by Deepti Gupta

Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms. Applied Analytics through Case Studies Using SAS and R is your answer to solving these business problems by sharpening your analytical skills. What You'll Learn Understand analytics and basic data concepts Use an analytical approach to solve Industrial business problems Build predictive model with machine learning techniquesCreate and apply analytical strategiesWho This Book Is ForData scientists, developers, statisticians, engineers, and research students with a great theoretical understanding of data and statistics who would like to enhance their skills by getting practical exposure in data modeling.

Applied and Computational Mathematics: ICoMPAC 2023, Sukolilo, Indonesia, September 30 (Springer Proceedings in Mathematics & Statistics #455)

by Dieky Adzkiya Kistosil Fahim

This book collects selected, peer-reviewed research presented at the 8th International Conference on Mathematics: Pure, Applied, and Computation, held in Lombok, Indonesia, on 30 September 2023. Organised into three parts—Part I: Control Systems, Mathematical Simulation and Modeling; Part II: Formal Methods and Data Science; Part III: Graph Theory and Analysis—the book contains 29 peer-reviewed chapters. Ranging from theoretical to applied results, the book addresses the mathematical models for several phenomena such as investment behavior, unmanned surface vehicles and electronic medical records. It also highlights the progress in the use of satisfiability methods and tools to solve puzzle and pencil games. It showcases how mathematics is used to solve real-world problems.

Applied Approaches to Societal Institutions and Economics: Essays in Honor of Moriki Hosoe (New Frontiers in Regional Science: Asian Perspectives #18)

by Tohru Naito Woohyung Lee Yasunori Ouchida

This book gives readers the theoretical and empirical methods to analyze applied economics. They are institutional economics, information economics, environmental economics, international economics, financial economics, industrial organization, public economics, law and economics, and spatial economics. Because the chapters of this book deal with current topics in these categories, they are relevant not only to researchers and graduate students but also to policy makers and entrepreneurs. As there is uncertainty about the global economy, it is necessary to consider optimal, efficient behavior to survive in the confused world. The book is organized in three parts. Part 1 deals with institutional economics, information economics, and related topics, approached through game theory. Part 2 focuses on environmental economics, international economics, and financial economics, through a microeconomic or econometric approach. Finally, Part 3 concentrates on public economics, social security, and related fields, through microeconomics or macroeconomics.

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