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Business Optimization Using Mathematical Programming: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages

Business Optimization Using Mathematical Programming: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages

          
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About the Book

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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Product Details
  • ISBN-13: 9783030732363
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 629
  • Series Title: International Operations Research & Management Science
  • Sub Title: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages
  • Width: 156 mm
  • ISBN-10: 3030732363
  • Publisher Date: 18 Jul 2021
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Spine Width: 37 mm
  • Weight: 1101 gr


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Business Optimization Using Mathematical Programming: An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages
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