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Autor Murty, Katta G |
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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 : Optimization for Decision Making : Linear and Quadratic Models Tipo de documento: documento electrónico Autores: Murty, Katta G ; SpringerLink (Online service) Editorial: Boston, MA : Springer US Fecha de publicación: 2010 Otro editor: Imprint: Springer Colección: International Series in Operations Research & Management Science, ISSN 0884-8289 num. 137 Número de páginas: XXVI, 482 p. 47 illus Il.: online resource ISBN/ISSN/DL: 978-1-4419-1291-6 Idioma : Inglés (eng) Palabras clave: Mathematics Operations research Decision making Mathematical models optimization Management science Industrial engineering Production Modeling and Operation Research/Decision Theory Research, Science Optimization Engineering Clasificación: 51 Matemáticas Resumen: Optimization for Decision Making: Linear and Quadratic Models is a first-year graduate level text that illustrates how to formulate real world problems using linear and quadratic models; how to use efficient algorithms – both old and new – for solving these models; and how to draw useful conclusions and derive useful planning information from the output of these algorithms. While almost all the best known books on LP are essentially mathematics books with only very simple modeling examples, this book emphasizes the intelligent modeling of real world problems, and the author presents several illustrative examples and includes many exercises from a variety of application areas. Additionally, where other books on LP only discuss the simplex method, and perhaps existing interior point methods, this book also discusses a new method based on using the sphere which uses matrix inversion operations sparingly and may be well suited to solving large-scale LPs, as well as those that may not have the property of being very sparse. Individual chapters present a brief history of mathematical modeling; methods for formulating real world problems; three case studies that illustrate the need for intelligent modeling; classical theory of polyhedral geometry that plays an important part in the study of LP; duality theory, optimality conditions for LP, and marginal analysis; variants of the revised simplex method; interior point methods; sphere methods; and extensions of sphere method to convex and nonconvex quadratic programs and to 0-1 integer programs through quadratic formulations. End of chapter exercises are provided throughout, with additional exercises available online Nota de contenido: Linear Equations, Inequalities, Linear Programming: A Brief Historical Overview -- Formulation Techniques Involving Transformations of Variables -- Intelligent Modeling Essential to Get Good Results -- Polyhedral Geometry -- Duality Theory and Optimality Conditions for LPs -- Revised Simplex Variants of the Primal and Dual Simplex Methods and Sensitivity Analysis -- Interior Point Methods for LP -- Sphere Methods for LP -- Quadratic Programming Models En línea: http://dx.doi.org/10.1007/978-1-4419-1291-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33587 Optimization for Decision Making : Linear and Quadratic Models [documento electrónico] / Murty, Katta G ; SpringerLink (Online service) . - Boston, MA : Springer US : Imprint: Springer, 2010 . - XXVI, 482 p. 47 illus : online resource. - (International Series in Operations Research & Management Science, ISSN 0884-8289; 137) .
ISBN : 978-1-4419-1291-6
Idioma : Inglés (eng)
Palabras clave: Mathematics Operations research Decision making Mathematical models optimization Management science Industrial engineering Production Modeling and Operation Research/Decision Theory Research, Science Optimization Engineering Clasificación: 51 Matemáticas Resumen: Optimization for Decision Making: Linear and Quadratic Models is a first-year graduate level text that illustrates how to formulate real world problems using linear and quadratic models; how to use efficient algorithms – both old and new – for solving these models; and how to draw useful conclusions and derive useful planning information from the output of these algorithms. While almost all the best known books on LP are essentially mathematics books with only very simple modeling examples, this book emphasizes the intelligent modeling of real world problems, and the author presents several illustrative examples and includes many exercises from a variety of application areas. Additionally, where other books on LP only discuss the simplex method, and perhaps existing interior point methods, this book also discusses a new method based on using the sphere which uses matrix inversion operations sparingly and may be well suited to solving large-scale LPs, as well as those that may not have the property of being very sparse. Individual chapters present a brief history of mathematical modeling; methods for formulating real world problems; three case studies that illustrate the need for intelligent modeling; classical theory of polyhedral geometry that plays an important part in the study of LP; duality theory, optimality conditions for LP, and marginal analysis; variants of the revised simplex method; interior point methods; sphere methods; and extensions of sphere method to convex and nonconvex quadratic programs and to 0-1 integer programs through quadratic formulations. End of chapter exercises are provided throughout, with additional exercises available online Nota de contenido: Linear Equations, Inequalities, Linear Programming: A Brief Historical Overview -- Formulation Techniques Involving Transformations of Variables -- Intelligent Modeling Essential to Get Good Results -- Polyhedral Geometry -- Duality Theory and Optimality Conditions for LPs -- Revised Simplex Variants of the Primal and Dual Simplex Methods and Sensitivity Analysis -- Interior Point Methods for LP -- Sphere Methods for LP -- Quadratic Programming Models En línea: http://dx.doi.org/10.1007/978-1-4419-1291-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33587 Ejemplares
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