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Business Optimization Using Mathematical Programming: An Introduction With Case Studies and Solutions in Various Algebraic Modeling Languages - Couverture rigide
Synopsis
This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.
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À propos de l?auteur
Prof. Dr. Josef Kallrath has studied mathematics, physics and astronomy in Bonn, where he received his doctorate in 1989 with an astrophysical dissertation on the dynamics of colliding binary stellar winds. He is working in practice (BASF SE, Ludwigshafen; 1989-2019), freelances since 1998 as a scientific consultant and solves practical problems in industry with scientific computing and operations research techniques. His work focuses on mathematical optimization to support decision processes in chemical industry, paper industry, metal industry, energy industry, transport infrastructure and the modeling of physical systems. He has taught at the University of Heidelberg (1991-2001) and, since 1997, at the University of Florida in Gainesville/USA. Since 2002, he has headed the Mathematical Optimization Practice Group of the Gesellschaft für Operations Research (GOR).
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Business Optimization Using Mathematical Programming
Edité par
Springer International Publishing, 2021
ISBN 10 : 3030732363
ISBN 13 : 9783030732363
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a comprehensive introduction into business optimization from a mathematical programming perspectiveIncludes a large variety of case studies using linear programing, mixed integer linear programming and integer programming. N° de réf. du vendeur 458553774
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Business Optimization Using Mathematical Programming: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages ... Research & Management Science, 307)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In English. N° de réf. du vendeur ria9783030732363_new
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Business Optimization Using Mathematical Programming : An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages
Edité par
Springer International Publishing, 2021
ISBN 10 : 3030732363
ISBN 13 : 9783030732363
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques. N° de réf. du vendeur 9783030732363
Quantité disponible : 1 disponible(s)
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Business Optimization Using Mathematical Programming
Edité par
Springer International Publishing Sep 2021, 2021
ISBN 10 : 3030732363
ISBN 13 : 9783030732363
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques. 664 pp. Englisch. N° de réf. du vendeur 9783030732363
Quantité disponible : 2 disponible(s)
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Business Optimization Using Mathematical Programming
ISBN 10 : 3030732363
ISBN 13 : 9783030732363
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 664 pp. Englisch. N° de réf. du vendeur 9783030732363
Quantité disponible : 1 disponible(s)
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Business Optimization Using Mathematical Programming: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages ... Research & Management Science, 307)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Etat : New. N° de réf. du vendeur ABLIING23Mar3113020028249
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Business Optimization Using Mathematical Programming: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 2nd edition. 663 pages. 9.25x6.10x1.65 inches. In Stock. N° de réf. du vendeur x-3030732363
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