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Título : Business Analytics : A Practitioner’s Guide Tipo de documento: documento electrónico Autores: Saxena, Rahul ; SpringerLink (Online service) ; Srinivasan, Anand Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: International Series in Operations Research & Management Science, ISSN 0884-8289 num. 186 Número de páginas: XII, 164 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-6080-0 Idioma : Inglés (eng) Palabras clave: Business Management science Operations research Decision making and Operation Research/Decision Theory Management, general Research, Science Clasificación: 658 Empresas. Organización de empresas Resumen: Business analytics is used to help people to make and execute rational decisions. This book provides a guide to businesses on how to use analytics to help drive from ideas to execution. Analytics used in this way provides full lifecycle support for business during all stages of decision-making and execution. The domain of business analytics is becoming recognized and established as a distinct profession. Many companies have created specialized business analytics teams, and several educational institutions offer courses and degrees in analytics. The people in these groups draw upon Operations Research, Statistics, and the Information Technology practices for Business Intelligence, Analytics & Optimization. Practitioners, academics, and consultants are working craft the concepts, processes, and structures needed to establish business analytics capabilities in their specific organizations. This book offers a set of proven concepts, processes, and structures that can help organizations to set up and evolve their analytics capabilities. The word “analytics” conjures up different images for different people depending on the function that they work in. Business and academic organizations share an enthusiastic appreciation of the realm of business analytics, but they do not necessarily have a common understanding of all that it comprises. This divergence presents organizational challenges in terms of organizational design, roles, skills development planning, educational needs, and career paths in analytics organizations. Effective application of analytics involves a confluence of traditional business, mathematical modeling and information technology capabilities. This book provides a framework for the effective interplay of these capabilities to go from ideas to execution. The framework for business analytics is also used to embed the use of business analytics into the business culture. It lays out the approach for analytics and provides guidance on how to scale analytics and how to develop analytics teams. It offers a set of proven concepts, processes, and structures that show how organizations can set up and evolve their analytics capabilities in order to achieve benefits in their strategy and operations. As a guide for practitioners and managers, the book will benefit people who work in analytics teams, the managers and leaders who manage, use and sponsor analytics, and those who work with and support business analytics teams. It includes several real world case studies on applying the concepts of business analytics to decision making to help the practitioner understand the framework and extend it to their specific need. Nota de contenido: A Framework for Business Anayltics -- Analytics Domain Context -- Decision Framing: Defining the Decision Need -- Decision Modeling -- Decision Making -- Decision Execution -- Business Intelligence -- Data Stewardship: Can We Use the Data? -- Making Organizations Smarter -- Building the Analytics Capability -- Analytic Methods -- Analytics Case Studies En línea: http://dx.doi.org/10.1007/978-1-4614-6080-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36436 Business Analytics : A Practitioner’s Guide [documento electrónico] / Saxena, Rahul ; SpringerLink (Online service) ; Srinivasan, Anand . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XII, 164 p : online resource. - (International Series in Operations Research & Management Science, ISSN 0884-8289; 186) .
ISBN : 978-1-4614-6080-0
Idioma : Inglés (eng)
Palabras clave: Business Management science Operations research Decision making and Operation Research/Decision Theory Management, general Research, Science Clasificación: 658 Empresas. Organización de empresas Resumen: Business analytics is used to help people to make and execute rational decisions. This book provides a guide to businesses on how to use analytics to help drive from ideas to execution. Analytics used in this way provides full lifecycle support for business during all stages of decision-making and execution. The domain of business analytics is becoming recognized and established as a distinct profession. Many companies have created specialized business analytics teams, and several educational institutions offer courses and degrees in analytics. The people in these groups draw upon Operations Research, Statistics, and the Information Technology practices for Business Intelligence, Analytics & Optimization. Practitioners, academics, and consultants are working craft the concepts, processes, and structures needed to establish business analytics capabilities in their specific organizations. This book offers a set of proven concepts, processes, and structures that can help organizations to set up and evolve their analytics capabilities. The word “analytics” conjures up different images for different people depending on the function that they work in. Business and academic organizations share an enthusiastic appreciation of the realm of business analytics, but they do not necessarily have a common understanding of all that it comprises. This divergence presents organizational challenges in terms of organizational design, roles, skills development planning, educational needs, and career paths in analytics organizations. Effective application of analytics involves a confluence of traditional business, mathematical modeling and information technology capabilities. This book provides a framework for the effective interplay of these capabilities to go from ideas to execution. The framework for business analytics is also used to embed the use of business analytics into the business culture. It lays out the approach for analytics and provides guidance on how to scale analytics and how to develop analytics teams. It offers a set of proven concepts, processes, and structures that show how organizations can set up and evolve their analytics capabilities in order to achieve benefits in their strategy and operations. As a guide for practitioners and managers, the book will benefit people who work in analytics teams, the managers and leaders who manage, use and sponsor analytics, and those who work with and support business analytics teams. It includes several real world case studies on applying the concepts of business analytics to decision making to help the practitioner understand the framework and extend it to their specific need. Nota de contenido: A Framework for Business Anayltics -- Analytics Domain Context -- Decision Framing: Defining the Decision Need -- Decision Modeling -- Decision Making -- Decision Execution -- Business Intelligence -- Data Stewardship: Can We Use the Data? -- Making Organizations Smarter -- Building the Analytics Capability -- Analytic Methods -- Analytics Case Studies En línea: http://dx.doi.org/10.1007/978-1-4614-6080-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36436 Ejemplares
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Título : Case Studies in Operations Research : Applications of Optimal Decision Making Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Murty, Katta G Editorial: New York, NY : Springer New York Fecha de publicación: 2015 Otro editor: Imprint: Springer Colección: International Series in Operations Research & Management Science, ISSN 0884-8289 num. 212 Número de páginas: XXIV, 543 p. 163 illus., 56 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4939-1007-6 Idioma : Inglés (eng) Palabras clave: Business Operations research Decision making Management science and Operation Research/Decision Theory Research, Science Clasificación: 658 Empresas. Organización de empresas Resumen: This textbook is comprised of detailed case studies covering challenging real world applications of OR techniques. Among the overall goals of the book is to provide readers with descriptions of the history and other background information on a variety of industries, service or other organizations in which decision making is an important component of their daily operations. The book considers all methods of optimum decision making in order to improve performances. It also compares possible solutions obtained by different approaches, concluding with a recommendation of the best among them for implementation. By exposing students to a variety of applications in a variety of areas and explaining how they can be modeled and solved, the book helps students develop the skills needed for modeling and solving problems that they may face in the workplace. Each chapter of "Case Studies in Operations Research: Applications of Optimal Decision Making" also includes additional data provided on the book’s website on Springer.com. These files contain a brief description of the area of application, the problem and the required outputs. Also provided are links to access all the data in the problem. Finally there are project exercises for students to practice what they have learnt in the chapter, which can also be used by instructors as project assignments in their courses Nota de contenido: Intelligent Modeling Essential to Get Good Results: Container Storage Inside a Container Terminal -- Diesel Locomotive Fueling Problem (LFP) in Railroad Operations -- Organizing National Elections in India to Elect the 543 Members of the Lok Sabha -- Procurement, Production, Marketing at Supply-Driven Milk and Milk Products Co-Operative -- DSS (Decision Support System) for Allocating Appointment Times to Calling Patients at a Medical Facility -- Transportation-Location Problem for a Solar Stove Distributing Nonprofit Organization -- Designing Earth Dams Optimally -- Optimal Scheduling of a Multi-Unit Hydro-Power Station in a Short-Term Planning Horizon -- Optimizing the Design of Water Distribution Networks Using Mathematical Optimization -- Wood Inventory Management in the Paper Industry -- Optimizing the Design of Heat Exchanger Networks in Crude Oil Refineries -- Optimizing the Allocation of Cuboidal Boxes to Cuboidal Compartments for Storage in a Warehouse -- Optimal Intake and Routing of Floating Oil Rigs in the North Sea -- Addressing the Peak Power Problem Through Thermal Energy Storage -- Optimal Flight Planning for a Jet Aircraft -- Freight Transport By Rail -- Cutting Stock Problems in the Paper and Sheet Metal Industries -- Inventory Management in Blood Banks -- Assembling Cells in the Wet Cell Traction Batteries that Power Forklifts -- Giving Appointments to Patients for Surgeries and Scheduling Surgeries to Operating Rooms in a Day -- The Satellite Downlink Scheduling Problem: A Case Study of RADARSAT-2 - Problem Statement and Data Files -- An Integer Programming Model for the Ferry Scheduling Problem - Online Summary With Data Files En línea: http://dx.doi.org/10.1007/978-1-4939-1007-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35394 Case Studies in Operations Research : Applications of Optimal Decision Making [documento electrónico] / SpringerLink (Online service) ; Murty, Katta G . - New York, NY : Springer New York : Imprint: Springer, 2015 . - XXIV, 543 p. 163 illus., 56 illus. in color : online resource. - (International Series in Operations Research & Management Science, ISSN 0884-8289; 212) .
ISBN : 978-1-4939-1007-6
Idioma : Inglés (eng)
Palabras clave: Business Operations research Decision making Management science and Operation Research/Decision Theory Research, Science Clasificación: 658 Empresas. Organización de empresas Resumen: This textbook is comprised of detailed case studies covering challenging real world applications of OR techniques. Among the overall goals of the book is to provide readers with descriptions of the history and other background information on a variety of industries, service or other organizations in which decision making is an important component of their daily operations. The book considers all methods of optimum decision making in order to improve performances. It also compares possible solutions obtained by different approaches, concluding with a recommendation of the best among them for implementation. By exposing students to a variety of applications in a variety of areas and explaining how they can be modeled and solved, the book helps students develop the skills needed for modeling and solving problems that they may face in the workplace. Each chapter of "Case Studies in Operations Research: Applications of Optimal Decision Making" also includes additional data provided on the book’s website on Springer.com. These files contain a brief description of the area of application, the problem and the required outputs. Also provided are links to access all the data in the problem. Finally there are project exercises for students to practice what they have learnt in the chapter, which can also be used by instructors as project assignments in their courses Nota de contenido: Intelligent Modeling Essential to Get Good Results: Container Storage Inside a Container Terminal -- Diesel Locomotive Fueling Problem (LFP) in Railroad Operations -- Organizing National Elections in India to Elect the 543 Members of the Lok Sabha -- Procurement, Production, Marketing at Supply-Driven Milk and Milk Products Co-Operative -- DSS (Decision Support System) for Allocating Appointment Times to Calling Patients at a Medical Facility -- Transportation-Location Problem for a Solar Stove Distributing Nonprofit Organization -- Designing Earth Dams Optimally -- Optimal Scheduling of a Multi-Unit Hydro-Power Station in a Short-Term Planning Horizon -- Optimizing the Design of Water Distribution Networks Using Mathematical Optimization -- Wood Inventory Management in the Paper Industry -- Optimizing the Design of Heat Exchanger Networks in Crude Oil Refineries -- Optimizing the Allocation of Cuboidal Boxes to Cuboidal Compartments for Storage in a Warehouse -- Optimal Intake and Routing of Floating Oil Rigs in the North Sea -- Addressing the Peak Power Problem Through Thermal Energy Storage -- Optimal Flight Planning for a Jet Aircraft -- Freight Transport By Rail -- Cutting Stock Problems in the Paper and Sheet Metal Industries -- Inventory Management in Blood Banks -- Assembling Cells in the Wet Cell Traction Batteries that Power Forklifts -- Giving Appointments to Patients for Surgeries and Scheduling Surgeries to Operating Rooms in a Day -- The Satellite Downlink Scheduling Problem: A Case Study of RADARSAT-2 - Problem Statement and Data Files -- An Integer Programming Model for the Ferry Scheduling Problem - Online Summary With Data Files En línea: http://dx.doi.org/10.1007/978-1-4939-1007-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35394 Ejemplares
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Título : Complementarity Modeling in Energy Markets Tipo de documento: documento electrónico Autores: Gabriel, Steven A ; SpringerLink (Online service) ; Conejo, Antonio J ; Fuller, J. David ; Hobbs, Benjamin F ; Ruiz, Carlos Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: International Series in Operations Research & Management Science, ISSN 0884-8289 num. 180 Número de páginas: XXVI, 630 p Il.: online resource ISBN/ISSN/DL: 978-1-4419-6123-5 Idioma : Inglés (eng) Palabras clave: Business Operations research Decision making Management science Macroeconomics and Operation Research/Decision Theory Macroeconomics/Monetary Economics//Financial Economics Research, Science Clasificación: 658 Empresas. Organización de empresas Resumen: This addition to the ISOR series introduces complementarity models in a straightforward and approachable manner and uses them to carry out an in-depth analysis of energy markets, including formulation issues and solution techniques. In a nutshell, complementarity models generalize: a. optimization problems via their Karush-Kuhn-Tucker conditions b. non-cooperative games in which each player may be solving a separate but related optimization problem with potentially overall system constraints (e.g., market-clearing conditions) c. economic and engineering problems that aren’t specifically derived from optimization problems (e.g., spatial price equilibria) d. problems in which both primal and dual variables (prices) appear in the original formulation (e.g., The National Energy Modeling System (NEMS) or its precursor, PIES). As such, complementarity models are a very general and flexible modeling format. A natural question is why concentrate on energy markets for this complementarity approach? As it turns out, energy or other markets that have game theoretic aspects are best modeled by complementarity problems. The reason is that the traditional perfect competition approach no longer applies due to deregulation and restructuring of these markets and thus the corresponding optimization problems may no longer hold. Also, in some instances it is important in the original model formulation to involve both primal variables (e.g., production) as well as dual variables (e.g., market prices) for public and private sector energy planning. Traditional optimization problems can not directly handle this mixing of primal and dual variables but complementarity models can and this makes them all that more effective for decision-makers Nota de contenido: Introduction and Motivation -- Optimality and Complementarity -- Some Microeconomic Principles -- Equilibria and Complementarity Problems -- Variational Inequality Problems -- Optimization Problems Constrained by Optimization Problems -- Equilibrium Problems with Equilibrium Constraints -- Algorithm for LCPs, NCPs, and VIs -- Some Advanced Algorithms for VI Decomposition, MPCCs and EPECs -- Natural Gas Market Modeling -- Electricity and Environmental Markets -- Multicommodity Equilibrium Models: Accounting for Demand-Side Linkages En línea: http://dx.doi.org/10.1007/978-1-4419-6123-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36389 Complementarity Modeling in Energy Markets [documento electrónico] / Gabriel, Steven A ; SpringerLink (Online service) ; Conejo, Antonio J ; Fuller, J. David ; Hobbs, Benjamin F ; Ruiz, Carlos . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XXVI, 630 p : online resource. - (International Series in Operations Research & Management Science, ISSN 0884-8289; 180) .
ISBN : 978-1-4419-6123-5
Idioma : Inglés (eng)
Palabras clave: Business Operations research Decision making Management science Macroeconomics and Operation Research/Decision Theory Macroeconomics/Monetary Economics//Financial Economics Research, Science Clasificación: 658 Empresas. Organización de empresas Resumen: This addition to the ISOR series introduces complementarity models in a straightforward and approachable manner and uses them to carry out an in-depth analysis of energy markets, including formulation issues and solution techniques. In a nutshell, complementarity models generalize: a. optimization problems via their Karush-Kuhn-Tucker conditions b. non-cooperative games in which each player may be solving a separate but related optimization problem with potentially overall system constraints (e.g., market-clearing conditions) c. economic and engineering problems that aren’t specifically derived from optimization problems (e.g., spatial price equilibria) d. problems in which both primal and dual variables (prices) appear in the original formulation (e.g., The National Energy Modeling System (NEMS) or its precursor, PIES). As such, complementarity models are a very general and flexible modeling format. A natural question is why concentrate on energy markets for this complementarity approach? As it turns out, energy or other markets that have game theoretic aspects are best modeled by complementarity problems. The reason is that the traditional perfect competition approach no longer applies due to deregulation and restructuring of these markets and thus the corresponding optimization problems may no longer hold. Also, in some instances it is important in the original model formulation to involve both primal variables (e.g., production) as well as dual variables (e.g., market prices) for public and private sector energy planning. Traditional optimization problems can not directly handle this mixing of primal and dual variables but complementarity models can and this makes them all that more effective for decision-makers Nota de contenido: Introduction and Motivation -- Optimality and Complementarity -- Some Microeconomic Principles -- Equilibria and Complementarity Problems -- Variational Inequality Problems -- Optimization Problems Constrained by Optimization Problems -- Equilibrium Problems with Equilibrium Constraints -- Algorithm for LCPs, NCPs, and VIs -- Some Advanced Algorithms for VI Decomposition, MPCCs and EPECs -- Natural Gas Market Modeling -- Electricity and Environmental Markets -- Multicommodity Equilibrium Models: Accounting for Demand-Side Linkages En línea: http://dx.doi.org/10.1007/978-1-4419-6123-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36389 Ejemplares
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Título : Handbook of Global Logistics : Transportation in International Supply Chains Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Bookbinder, James H Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: International Series in Operations Research & Management Science, ISSN 0884-8289 num. 181 Número de páginas: XVI, 552 p Il.: online resource ISBN/ISSN/DL: 978-1-4419-6132-7 Idioma : Inglés (eng) Palabras clave: Business Operations research Decision making and Management Operation Research/Decision Theory Clasificación: 658 Empresas. Organización de empresas Resumen: Global logistics entails tradeoffs in facility location, distribution networks, the routing and scheduling of deliveries by different modes of travel (e.g., air, water, truck, rail), procurement, and the overall management of international supply chains. In an increasingly global economy, then, logistics has become a very important matter in the success or failure of an organization. It is an integral part of supply chain management that involves not just operations management considerations, but production engineering and regional science issues as well. As Director of the prestigious Waterloo Management of Integrated Manufacturing Systems Research Group (WATMIMS), which specializes in logistics and manufacturing, Jim Bookbinder is uniquely qualified to edit a handbook on global logistics. He has aligned a set of prominent contributors for this volume. The chapters in the Handbook are organized into discrete sections that examine modes; logistics in particular countries; operations within a free-trade zone; innovative features impacting international logistics; case studies of specific companies; and a look toward the future. Contributors are from the Americas, Europe, and Asia, and they push the state of the art in areas such as trade vs. security; border issues; cabotage within NAFTA; Green logistics corridors within the EU; inland ports; direct-to-store considerations; and all the questions that need to be confronted in any given region. This will certainly appeal to researchers and practitioners alike, and could serve as required or supplementary reading in graduate-level logistics courses as well Nota de contenido: Logistics in China -- Electronic Procurement Systems in India: Importance and Impact on Supply Chain Operations -- Use of Third Party Logistics Services: An Asia-Pacific Perspective -- The Greater Mekong Sub-region of Southeast Asia: Improving Logistics Connectivity -- Strategic and Tactical Modeling in the Argentine Sugar Industry -- Integration of International and Cabotage Container Shipping in Brazil -- Latin American Logistics/Supply Chain Management: Perspective from the Research Literature -- Logistics in the Oresund Region of Scandinavia -- Green Corridors in European Surface Freight Logistics -- Containerized Freight Distribution in North America and Europe -- Network Redesign in Turkey: The Supply, Production, and Distribution of Malt and Beer -- Procurement from Developing Countries -- Innovative Logistics in Extreme Conditions: The Case of Health-Care Delivery in Gambia -- Comparative Analysis of Air Freight Networks in Regional Markets Around the Globe -- Business Models and Network Design in Hinterland Transport -- Cross-Border Issues and Research -- On the Relationships Among Facility Location, Transportation Mode Selection and Material Flow Costs in Global Supply Chains. Humanitarian Logistics: Advanced Purchasing and Pre-positioning of Relief Items -- Logistics-Intensive Clusters: Global Competitiveness and Regional Growth -- Proactive Order Consolidation in Global Sourcing -- The Future En línea: http://dx.doi.org/10.1007/978-1-4419-6132-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36390 Handbook of Global Logistics : Transportation in International Supply Chains [documento electrónico] / SpringerLink (Online service) ; Bookbinder, James H . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XVI, 552 p : online resource. - (International Series in Operations Research & Management Science, ISSN 0884-8289; 181) .
ISBN : 978-1-4419-6132-7
Idioma : Inglés (eng)
Palabras clave: Business Operations research Decision making and Management Operation Research/Decision Theory Clasificación: 658 Empresas. Organización de empresas Resumen: Global logistics entails tradeoffs in facility location, distribution networks, the routing and scheduling of deliveries by different modes of travel (e.g., air, water, truck, rail), procurement, and the overall management of international supply chains. In an increasingly global economy, then, logistics has become a very important matter in the success or failure of an organization. It is an integral part of supply chain management that involves not just operations management considerations, but production engineering and regional science issues as well. As Director of the prestigious Waterloo Management of Integrated Manufacturing Systems Research Group (WATMIMS), which specializes in logistics and manufacturing, Jim Bookbinder is uniquely qualified to edit a handbook on global logistics. He has aligned a set of prominent contributors for this volume. The chapters in the Handbook are organized into discrete sections that examine modes; logistics in particular countries; operations within a free-trade zone; innovative features impacting international logistics; case studies of specific companies; and a look toward the future. Contributors are from the Americas, Europe, and Asia, and they push the state of the art in areas such as trade vs. security; border issues; cabotage within NAFTA; Green logistics corridors within the EU; inland ports; direct-to-store considerations; and all the questions that need to be confronted in any given region. This will certainly appeal to researchers and practitioners alike, and could serve as required or supplementary reading in graduate-level logistics courses as well Nota de contenido: Logistics in China -- Electronic Procurement Systems in India: Importance and Impact on Supply Chain Operations -- Use of Third Party Logistics Services: An Asia-Pacific Perspective -- The Greater Mekong Sub-region of Southeast Asia: Improving Logistics Connectivity -- Strategic and Tactical Modeling in the Argentine Sugar Industry -- Integration of International and Cabotage Container Shipping in Brazil -- Latin American Logistics/Supply Chain Management: Perspective from the Research Literature -- Logistics in the Oresund Region of Scandinavia -- Green Corridors in European Surface Freight Logistics -- Containerized Freight Distribution in North America and Europe -- Network Redesign in Turkey: The Supply, Production, and Distribution of Malt and Beer -- Procurement from Developing Countries -- Innovative Logistics in Extreme Conditions: The Case of Health-Care Delivery in Gambia -- Comparative Analysis of Air Freight Networks in Regional Markets Around the Globe -- Business Models and Network Design in Hinterland Transport -- Cross-Border Issues and Research -- On the Relationships Among Facility Location, Transportation Mode Selection and Material Flow Costs in Global Supply Chains. Humanitarian Logistics: Advanced Purchasing and Pre-positioning of Relief Items -- Logistics-Intensive Clusters: Global Competitiveness and Regional Growth -- Proactive Order Consolidation in Global Sourcing -- The Future En línea: http://dx.doi.org/10.1007/978-1-4419-6132-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36390 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Handbook of Healthcare Operations Management / SpringerLink (Online service) ; Denton, Brian T (2013)
Título : Handbook of Healthcare Operations Management : Methods and Applications Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Denton, Brian T Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: International Series in Operations Research & Management Science, ISSN 0884-8289 num. 184 Número de páginas: X, 536 p. 72 illus., 53 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-5885-2 Idioma : Inglés (eng) Palabras clave: Business Operations research Decision making Health administration Management science and Operation Research/Decision Theory Administration Research, Science Clasificación: 658 Empresas. Organización de empresas Resumen: 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 Nota de contenido: Improving Access to Healthcare: Models of Adaptive Behavior -- Queueing Models for Healthcare Operations -- Applications of Agent-Based Modeling and Simulation to Healthcare Operations Management -- Optimization in Healthcare Delivery Modeling: Methods and Applications -- Operating Room Planning and Scheduling -- The Modeling, Analysis, and Management of Intensive Care Units -- Improving the Flow of Patients through Healthcare Organizations -- Capacity Allocation and Flexibility in Primary Care -- Improving Scheduling and Flow in Complex Outpatient Clinics -- No-show Modeling for Adult Ambulatory Clinics -- Simulation and Real-time Optimized Relocation for Improving Ambulance Operations -- Planning and Managing Mass Prophylaxis Clinic Operations -- Emergency Departments: “Repairs While You Wait, No Appointment Necessary” -- Location Models in Health Care -- Models and Methods for Improving Patient Access -- Coordinating Health Services: An Operations Management Perspective -- Managing Supply Critical to Patient Care: An Introduction to Hospital Inventory Management for Pharmaceuticals -- The Challenges of Hospital Supply Chain Management, from Central Stores to Nursing Units -- Overcoming the Challenges of the Last Mile: A Model of Riders for Health -- Allocating Scarce Healthcare Resources in Developing Countries: A Case for Malaria Prevention En línea: http://dx.doi.org/10.1007/978-1-4614-5885-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36427 Handbook of Healthcare Operations Management : Methods and Applications [documento electrónico] / SpringerLink (Online service) ; Denton, Brian T . - New York, NY : Springer New York : Imprint: Springer, 2013 . - X, 536 p. 72 illus., 53 illus. in color : online resource. - (International Series in Operations Research & Management Science, ISSN 0884-8289; 184) .
ISBN : 978-1-4614-5885-2
Idioma : Inglés (eng)
Palabras clave: Business Operations research Decision making Health administration Management science and Operation Research/Decision Theory Administration Research, Science Clasificación: 658 Empresas. Organización de empresas Resumen: 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 Nota de contenido: Improving Access to Healthcare: Models of Adaptive Behavior -- Queueing Models for Healthcare Operations -- Applications of Agent-Based Modeling and Simulation to Healthcare Operations Management -- Optimization in Healthcare Delivery Modeling: Methods and Applications -- Operating Room Planning and Scheduling -- The Modeling, Analysis, and Management of Intensive Care Units -- Improving the Flow of Patients through Healthcare Organizations -- Capacity Allocation and Flexibility in Primary Care -- Improving Scheduling and Flow in Complex Outpatient Clinics -- No-show Modeling for Adult Ambulatory Clinics -- Simulation and Real-time Optimized Relocation for Improving Ambulance Operations -- Planning and Managing Mass Prophylaxis Clinic Operations -- Emergency Departments: “Repairs While You Wait, No Appointment Necessary” -- Location Models in Health Care -- Models and Methods for Improving Patient Access -- Coordinating Health Services: An Operations Management Perspective -- Managing Supply Critical to Patient Care: An Introduction to Hospital Inventory Management for Pharmaceuticals -- The Challenges of Hospital Supply Chain Management, from Central Stores to Nursing Units -- Overcoming the Challenges of the Last Mile: A Model of Riders for Health -- Allocating Scarce Healthcare Resources in Developing Countries: A Case for Malaria Prevention En línea: http://dx.doi.org/10.1007/978-1-4614-5885-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36427 Ejemplares
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