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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
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Applied Research in Uncertainty Modeling and Analysis / SpringerLink (Online service) ; Nii O. Attoh-Okine ; Bilal M. Ayyub (2005)
Título : Applied Research in Uncertainty Modeling and Analysis Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Nii O. Attoh-Okine ; Bilal M. Ayyub Editorial: Boston, MA : Springer US Fecha de publicación: 2005 Colección: International Series in Intelligent Technologies, ISSN 1382-3434 num. 20 Número de páginas: XVI, 545 p Il.: online resource ISBN/ISSN/DL: 978-0-387-23550-9 Idioma : Inglés (eng) Palabras clave: Business Operations research Decision making Engineering Economic theory and Management Operation Research/Decision Theory Theory/Quantitative Economics/Mathematical Methods Engineering, general Clasificación: 51 Matemáticas Resumen: Uncertainty has been a concern to engineers, managers, and scientists for many years. For a long time uncertainty has been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties views on uncertainty have become more heterogeneous. In the past forty years numerous tools that model uncertainty, above and beyond statistics, have been proposed by several engineers and scientists. The tool/method to model uncertainty in a specific context should really be chosen by considering the features of the phenomenon under consideration, not independent of what is known about the system and what causes uncertainty. In this fascinating overview of the field, the authors provide broad coverage of uncertainty analysis/modeling and its application. Applied Research in Uncertainty Modeling and Analysis presents the perspectives of various researchers and practitioners on uncertainty analysis and modeling outside their own fields and domain expertise. Rather than focusing explicitly on theory, the authors use real-world examples to demonstrate the strength of the chosen methodology. Applied Research in Uncertainty Modeling and Analysis concentrates on general aspects of uncertainty, modeling, and methods, and focuses on various applications, included Biomedical Engineering, Chemical Engineering, Structural Engineering, and Transportation Engineering Nota de contenido: Philosophical and Theoretical Bases for Analyzing and Modeling Uncertainty and Ignorance -- A Self-Organizing Neural Network by Dynamic and Spatial Changing Weights -- Simulation of Fuzzy Systems I -- Simulation Of Fuzzy Systems II -- Event-Related Potential Noise Reduction Using the Hidden Markov Tree Model -- Change Detection in Image Sequence Based on Markov Random Field and Mean Field Theory -- Analysis of Multi-Channel Subdural EEG by Recurrent Neural Networks -- Multicriteria Optimization Under Parametric Uncertainty -- Design of Neural Networks for Pavement Rutting -- Neural Networks for Residential Infrastructure Management -- Evacuation Simulation in Underground Mall by Artificial Life Technology -- Epistemic Uncertainty and the Management of High Risk Exposures -- Experiment with a Hierarchical Text Categorization Method on WIPO Patent Collections -- Study of Transportation and Uncertainty -- Multi Agent Systems Approach to Parking Facilities Management -- Modeling Transportation Choice Through Utility-Based Multi-Layer Feedforward Networks -- Heterogeneity in Commuter Departure Time Decision: a Prospect Theoretic Approach -- Importance of Fuzzy Sets Definitions for Fuzzy Signal Controllers -- Reliability Evaluation of Realistic Structures Using FEM -- Simulation in Risk-Based Codified Engineering Design -- System Identification at Local Level under Uncertainty -- Uncertainty Modeling of Chloride Contamination and Corrosion of Concrete Bridges -- Redundancy Analysis of Structural Systems En línea: http://dx.doi.org/10.1007/b101807 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35070 Applied Research in Uncertainty Modeling and Analysis [documento electrónico] / SpringerLink (Online service) ; Nii O. Attoh-Okine ; Bilal M. Ayyub . - Boston, MA : Springer US, 2005 . - XVI, 545 p : online resource. - (International Series in Intelligent Technologies, ISSN 1382-3434; 20) .
ISBN : 978-0-387-23550-9
Idioma : Inglés (eng)
Palabras clave: Business Operations research Decision making Engineering Economic theory and Management Operation Research/Decision Theory Theory/Quantitative Economics/Mathematical Methods Engineering, general Clasificación: 51 Matemáticas Resumen: Uncertainty has been a concern to engineers, managers, and scientists for many years. For a long time uncertainty has been considered synonymous with random, stochastic, statistic, or probabilistic. Since the early sixties views on uncertainty have become more heterogeneous. In the past forty years numerous tools that model uncertainty, above and beyond statistics, have been proposed by several engineers and scientists. The tool/method to model uncertainty in a specific context should really be chosen by considering the features of the phenomenon under consideration, not independent of what is known about the system and what causes uncertainty. In this fascinating overview of the field, the authors provide broad coverage of uncertainty analysis/modeling and its application. Applied Research in Uncertainty Modeling and Analysis presents the perspectives of various researchers and practitioners on uncertainty analysis and modeling outside their own fields and domain expertise. Rather than focusing explicitly on theory, the authors use real-world examples to demonstrate the strength of the chosen methodology. Applied Research in Uncertainty Modeling and Analysis concentrates on general aspects of uncertainty, modeling, and methods, and focuses on various applications, included Biomedical Engineering, Chemical Engineering, Structural Engineering, and Transportation Engineering Nota de contenido: Philosophical and Theoretical Bases for Analyzing and Modeling Uncertainty and Ignorance -- A Self-Organizing Neural Network by Dynamic and Spatial Changing Weights -- Simulation of Fuzzy Systems I -- Simulation Of Fuzzy Systems II -- Event-Related Potential Noise Reduction Using the Hidden Markov Tree Model -- Change Detection in Image Sequence Based on Markov Random Field and Mean Field Theory -- Analysis of Multi-Channel Subdural EEG by Recurrent Neural Networks -- Multicriteria Optimization Under Parametric Uncertainty -- Design of Neural Networks for Pavement Rutting -- Neural Networks for Residential Infrastructure Management -- Evacuation Simulation in Underground Mall by Artificial Life Technology -- Epistemic Uncertainty and the Management of High Risk Exposures -- Experiment with a Hierarchical Text Categorization Method on WIPO Patent Collections -- Study of Transportation and Uncertainty -- Multi Agent Systems Approach to Parking Facilities Management -- Modeling Transportation Choice Through Utility-Based Multi-Layer Feedforward Networks -- Heterogeneity in Commuter Departure Time Decision: a Prospect Theoretic Approach -- Importance of Fuzzy Sets Definitions for Fuzzy Signal Controllers -- Reliability Evaluation of Realistic Structures Using FEM -- Simulation in Risk-Based Codified Engineering Design -- System Identification at Local Level under Uncertainty -- Uncertainty Modeling of Chloride Contamination and Corrosion of Concrete Bridges -- Redundancy Analysis of Structural Systems En línea: http://dx.doi.org/10.1007/b101807 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35070 Ejemplares
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Título : Decision Modeling and Behavior in Complex and Uncertain Environments Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Kugler, Tamar ; Smith, J. Cole ; Connolly, Terry ; Son, Young-Jun Editorial: New York, NY : Springer New York Fecha de publicación: 2008 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 21 Número de páginas: XII, 364 p. 55 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-77131-1 Idioma : Inglés (eng) Palabras clave: Business Operations research Decision making Game theory Mathematical models optimization and Management Operation Research/Decision Theory Theory, Economics, Social Behav. Sciences Optimization Modeling Industrial Mathematics Clasificación: 51 Matemáticas Resumen: This text is devoted to examining new research at the interface of operations research, behavioral and cognitive sciences, and decision analysis. In these 14 self-contained chapters, four themes emerge, providing the reader with a variety of perspectives both theoretic and applied to meet the challenges of devising models to understand the decision-making process. The main broad topics include: ·the integration of decision analysis and behavioral models ·innovations in behavioral models ·exploring descriptive behavior models ·experimental studies From the cognitive behaviorist who collects empirical evidence as to how people make decisions to the engineer and economist who are the consumers of such understanding, the reader encounters the familiar Traveling Salesman Problem and Prisoner's dilemma, how agricultural decisions are made in Argentina's Pampas region, and some social goals that come into play as an element of rational decision-making. Decision Modeling and Behavior in Complex and Uncertain Environments will benefit graduate students, mathematicians, engineers, psychologists, and other scientists Nota de contenido: Integrating Decision Analysis and Behavioral Models -- Improving and Measuring the Effectiveness of Decision Analysis: Linking Decision Analysis and Behavioral Decision Research -- Reducing Perceptual and Cognitive Challenges in Making Decisions with Models -- Agricultural Decision Making in the Argentine Pampas: Modeling the Interaction between Uncertain and Complex Environments and Heterogeneous and Complex Decision Makers -- Innovations in Behavioral Model Analysis -- On Optimal Satisficing: How Simple Policies Can Achieve Excellent Results -- There Are Many Models of Transitive Preference: A Tutorial Review and Current Perspective -- Integrating Compensatory and Noncompensatory Decision-Making Strategies in Dynamic Task Environments -- Repeated Prisoner's Dilemma and Battle of Sexes Games: A Simulation Study -- Innovations in Descriptive Behavior Models -- Individual Values and Social Goals in Environmental Decision Making -- Does More Money Buy You More Happiness? -- Cognitive Biases Affect the Acceptance of Tradeoff Studies -- Experimental Studies in Behavioral Research -- Valuation of Vague Prospects with Mixed Outcomes -- Collective Search in Concrete and Abstract Spaces -- Braess Paradox in the Laboratory: Experimental Study of Route Choice in Traffic Networks with Asymmetric Costs -- Non-Euclidean Traveling Salesman Problem En línea: http://dx.doi.org/10.1007/978-0-387-77131-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34229 Decision Modeling and Behavior in Complex and Uncertain Environments [documento electrónico] / SpringerLink (Online service) ; Kugler, Tamar ; Smith, J. Cole ; Connolly, Terry ; Son, Young-Jun . - New York, NY : Springer New York, 2008 . - XII, 364 p. 55 illus : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 21) .
ISBN : 978-0-387-77131-1
Idioma : Inglés (eng)
Palabras clave: Business Operations research Decision making Game theory Mathematical models optimization and Management Operation Research/Decision Theory Theory, Economics, Social Behav. Sciences Optimization Modeling Industrial Mathematics Clasificación: 51 Matemáticas Resumen: This text is devoted to examining new research at the interface of operations research, behavioral and cognitive sciences, and decision analysis. In these 14 self-contained chapters, four themes emerge, providing the reader with a variety of perspectives both theoretic and applied to meet the challenges of devising models to understand the decision-making process. The main broad topics include: ·the integration of decision analysis and behavioral models ·innovations in behavioral models ·exploring descriptive behavior models ·experimental studies From the cognitive behaviorist who collects empirical evidence as to how people make decisions to the engineer and economist who are the consumers of such understanding, the reader encounters the familiar Traveling Salesman Problem and Prisoner's dilemma, how agricultural decisions are made in Argentina's Pampas region, and some social goals that come into play as an element of rational decision-making. Decision Modeling and Behavior in Complex and Uncertain Environments will benefit graduate students, mathematicians, engineers, psychologists, and other scientists Nota de contenido: Integrating Decision Analysis and Behavioral Models -- Improving and Measuring the Effectiveness of Decision Analysis: Linking Decision Analysis and Behavioral Decision Research -- Reducing Perceptual and Cognitive Challenges in Making Decisions with Models -- Agricultural Decision Making in the Argentine Pampas: Modeling the Interaction between Uncertain and Complex Environments and Heterogeneous and Complex Decision Makers -- Innovations in Behavioral Model Analysis -- On Optimal Satisficing: How Simple Policies Can Achieve Excellent Results -- There Are Many Models of Transitive Preference: A Tutorial Review and Current Perspective -- Integrating Compensatory and Noncompensatory Decision-Making Strategies in Dynamic Task Environments -- Repeated Prisoner's Dilemma and Battle of Sexes Games: A Simulation Study -- Innovations in Descriptive Behavior Models -- Individual Values and Social Goals in Environmental Decision Making -- Does More Money Buy You More Happiness? -- Cognitive Biases Affect the Acceptance of Tradeoff Studies -- Experimental Studies in Behavioral Research -- Valuation of Vague Prospects with Mixed Outcomes -- Collective Search in Concrete and Abstract Spaces -- Braess Paradox in the Laboratory: Experimental Study of Route Choice in Traffic Networks with Asymmetric Costs -- Non-Euclidean Traveling Salesman Problem En línea: http://dx.doi.org/10.1007/978-0-387-77131-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34229 Ejemplares
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Título : Handbook of Operations Research in Agriculture and the Agri-Food Industry Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Plà-Aragonés, Lluis M 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. 224 Número de páginas: XIV, 464 p. 92 illus., 49 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4939-2483-7 Idioma : Inglés (eng) Palabras clave: Business Operations research Decision making Management science Agricultural economics and Operation Research/Decision Theory Research, Science Economics Clasificación: 658 Empresas. Organización de empresas Resumen: The scope of this book is Operations Research methods in Agriculture and a thorough discussion of derived applications in the Agri-food industry. The book summarizes current research and practice in this area and illustrates the development of useful approaches to deal with actual problems arising in the agriculture sector and the agri-food industry. This book is intended to collect in one volume high quality chapters on Methods and Applications in Agriculture and Agri-food industry considering both theoretical issues and application results. Methods applied to problems in agriculture and the agri-food industry include, but are not restricted to, the following themes: Dynamic programming Multi-criteria decision methods Markov decision processes Linear programming Stochastic programming Parameter estimation and knowledge acquisition Learning from data Simulation Descriptive and normative decision tree techniques, including: agent modelling and simulation, and state of the art surveys Each chapter includes some standard and traditional methodology but also some recent research advances. All the applications presented in the chapters have been inspired and motivated by the demands from the agriculture and food production areas Nota de contenido: Optimal Planning of Pig Transfers Along a Pig Supply Chain -- Planning the Planting, Harvest and Distribution of Fresh Horticultural Products -- Production and Logistics Planning in Seed Corn -- Harvest Planning in Apple Orchards Using an Optimization Model -- Optimisation of the Supply Chain Management of Sugar Cane in Cuba -- A Hierarchical Planning Scheme Based on Precision Agriculture -- Optimal Transport Planning for the Supply to a Fruit Logistic Center -- Simulating Vulnerability in Victoria's Fruit and Vegetable Supply Chain -- Simulation Optimization: Applications in Fish Farming - Theory vs. Practices -- Swarm Intelligence in Optimal Management of Aquaculture Farms -- Multi-objective Optimisation for Improved Agricultural Water and Nitrogen Management in Selected Regions of Africa -- Modelling of Catastrophic Farm Risks Using Sparse Data -- Forecasting Grape Maturation Under Head Stress Using MatPred -- Technical Efficiency of Sow Farms: A Parametric and Non-parametric Approach -- Multicriteria Analysis of Olive Farms Sustainability -- On the Feasibility of Establishing a Northern-Western Australian Beef Abattoir as a Facility Location Problem -- Optimal Delivery of Pigs to the Abattoir -- Diet Problem -- Markov Decision Processes to Model Livestock Systems En línea: http://dx.doi.org/10.1007/978-1-4939-2483-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35401 Handbook of Operations Research in Agriculture and the Agri-Food Industry [documento electrónico] / SpringerLink (Online service) ; Plà-Aragonés, Lluis M . - New York, NY : Springer New York : Imprint: Springer, 2015 . - XIV, 464 p. 92 illus., 49 illus. in color : online resource. - (International Series in Operations Research & Management Science, ISSN 0884-8289; 224) .
ISBN : 978-1-4939-2483-7
Idioma : Inglés (eng)
Palabras clave: Business Operations research Decision making Management science Agricultural economics and Operation Research/Decision Theory Research, Science Economics Clasificación: 658 Empresas. Organización de empresas Resumen: The scope of this book is Operations Research methods in Agriculture and a thorough discussion of derived applications in the Agri-food industry. The book summarizes current research and practice in this area and illustrates the development of useful approaches to deal with actual problems arising in the agriculture sector and the agri-food industry. This book is intended to collect in one volume high quality chapters on Methods and Applications in Agriculture and Agri-food industry considering both theoretical issues and application results. Methods applied to problems in agriculture and the agri-food industry include, but are not restricted to, the following themes: Dynamic programming Multi-criteria decision methods Markov decision processes Linear programming Stochastic programming Parameter estimation and knowledge acquisition Learning from data Simulation Descriptive and normative decision tree techniques, including: agent modelling and simulation, and state of the art surveys Each chapter includes some standard and traditional methodology but also some recent research advances. All the applications presented in the chapters have been inspired and motivated by the demands from the agriculture and food production areas Nota de contenido: Optimal Planning of Pig Transfers Along a Pig Supply Chain -- Planning the Planting, Harvest and Distribution of Fresh Horticultural Products -- Production and Logistics Planning in Seed Corn -- Harvest Planning in Apple Orchards Using an Optimization Model -- Optimisation of the Supply Chain Management of Sugar Cane in Cuba -- A Hierarchical Planning Scheme Based on Precision Agriculture -- Optimal Transport Planning for the Supply to a Fruit Logistic Center -- Simulating Vulnerability in Victoria's Fruit and Vegetable Supply Chain -- Simulation Optimization: Applications in Fish Farming - Theory vs. Practices -- Swarm Intelligence in Optimal Management of Aquaculture Farms -- Multi-objective Optimisation for Improved Agricultural Water and Nitrogen Management in Selected Regions of Africa -- Modelling of Catastrophic Farm Risks Using Sparse Data -- Forecasting Grape Maturation Under Head Stress Using MatPred -- Technical Efficiency of Sow Farms: A Parametric and Non-parametric Approach -- Multicriteria Analysis of Olive Farms Sustainability -- On the Feasibility of Establishing a Northern-Western Australian Beef Abattoir as a Facility Location Problem -- Optimal Delivery of Pigs to the Abattoir -- Diet Problem -- Markov Decision Processes to Model Livestock Systems En línea: http://dx.doi.org/10.1007/978-1-4939-2483-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35401 Ejemplares
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Título : Humanitarian and Relief Logistics : Research Issues, Case Studies and Future Trends Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Zeimpekis, Vasileios ; Ichoua, Soumia ; Minis, Ioannis Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: Operations Research/Computer Science Interfaces Series, ISSN 1387-666X num. 54 Número de páginas: XIV, 220 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-7007-6 Idioma : Inglés (eng) Palabras clave: Business Production management Operations research Decision making Management science and Operation Research/Decision Theory Research, Science Clasificación: 658 Empresas. Organización de empresas Resumen: This edited volume highlights recent research advances in humanitarian relief logistics. The contributed chapters span the spectrum of key issues and activities from preparedness to mitigation operations (response), planning and execution. The volume also presents state-of-the-art methods and systems through current case studies. Significant issues in planning and execution of humanitarian relief logistics discussed in this volume include the following: • Approaches that tackle realistic relief distribution networks. In addition to large-scale computing issues, heuristics may handle the complexity and particularities of humanitarian supply chains • Methods that integrate real-time information while effectively coping with time pressure and uncertainty, both of which are inherent to a disaster scene • Judicious recourse strategies that allow a quick and effective restoration of pre-planned solutions whenever an unpredictable event occurs • Coordination of multiple parties that are often involved in managing a disaster, including NGOs, local, state and federal agencies. This volume provides robust evidence that research in humanitarian logistics may lead to substantial improvements in effectiveness and efficiency of disaster relief operations. This is quite encouraging, since the unique characteristics of disaster scenes provide significant opportunities for researchers to investigate novel approaches contributing to logistics research while offering a significant service to society Nota de contenido: A Decision Support System for Humanitarian Network Design and Distribution Operations -- Analytical Models for Estimating Waiting Times at a Disaster Relief Center -- Multiple Location and Routing Models in Humanitarian Logistics -- Preparedness Measures for Emergency and Disaster Response -- Military Logistics Planning in Humanitarian Relief Operations -- A Procurement Auctions-Based Framework for Coordinating Platforms in Humanitarian Logistics -- A Fuzzy Multicriteria Methodology to Manage Priorities and Resource Assignment in Critical Situations -- Logistics for Decision Support: An Application in Cases of Natural Disasters -- A Multi-agent Based Framework for Vehicle Routing in Relief Delivery Systems -- Modeling Facility Locations for Relief Logistics in Indonesia -- Humanitarian Logistics in the Great Tohoku Disasters 2011 En línea: http://dx.doi.org/10.1007/978-1-4614-7007-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36450 Humanitarian and Relief Logistics : Research Issues, Case Studies and Future Trends [documento electrónico] / SpringerLink (Online service) ; Zeimpekis, Vasileios ; Ichoua, Soumia ; Minis, Ioannis . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XIV, 220 p : online resource. - (Operations Research/Computer Science Interfaces Series, ISSN 1387-666X; 54) .
ISBN : 978-1-4614-7007-6
Idioma : Inglés (eng)
Palabras clave: Business Production management Operations research Decision making Management science and Operation Research/Decision Theory Research, Science Clasificación: 658 Empresas. Organización de empresas Resumen: This edited volume highlights recent research advances in humanitarian relief logistics. The contributed chapters span the spectrum of key issues and activities from preparedness to mitigation operations (response), planning and execution. The volume also presents state-of-the-art methods and systems through current case studies. Significant issues in planning and execution of humanitarian relief logistics discussed in this volume include the following: • Approaches that tackle realistic relief distribution networks. In addition to large-scale computing issues, heuristics may handle the complexity and particularities of humanitarian supply chains • Methods that integrate real-time information while effectively coping with time pressure and uncertainty, both of which are inherent to a disaster scene • Judicious recourse strategies that allow a quick and effective restoration of pre-planned solutions whenever an unpredictable event occurs • Coordination of multiple parties that are often involved in managing a disaster, including NGOs, local, state and federal agencies. This volume provides robust evidence that research in humanitarian logistics may lead to substantial improvements in effectiveness and efficiency of disaster relief operations. This is quite encouraging, since the unique characteristics of disaster scenes provide significant opportunities for researchers to investigate novel approaches contributing to logistics research while offering a significant service to society Nota de contenido: A Decision Support System for Humanitarian Network Design and Distribution Operations -- Analytical Models for Estimating Waiting Times at a Disaster Relief Center -- Multiple Location and Routing Models in Humanitarian Logistics -- Preparedness Measures for Emergency and Disaster Response -- Military Logistics Planning in Humanitarian Relief Operations -- A Procurement Auctions-Based Framework for Coordinating Platforms in Humanitarian Logistics -- A Fuzzy Multicriteria Methodology to Manage Priorities and Resource Assignment in Critical Situations -- Logistics for Decision Support: An Application in Cases of Natural Disasters -- A Multi-agent Based Framework for Vehicle Routing in Relief Delivery Systems -- Modeling Facility Locations for Relief Logistics in Indonesia -- Humanitarian Logistics in the Great Tohoku Disasters 2011 En línea: http://dx.doi.org/10.1007/978-1-4614-7007-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36450 Ejemplares
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