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010   $a3-030-73237-1
024 7 $a10.1007/978-3-030-73237-0
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035   $a(Au-PeEL)EBL6716495
035   $a(OCoLC)1266360672
035   $a(PPN)257350950
035   $a(DE-He213)978-3-030-73237-0
035   $a(EXLCZ)995600000000003545
100   $a20210831d2021      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBusiness Optimization Using Mathematical Programming $eAn Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages /$fby Josef Kallrath
205   $a2nd ed. 2021.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021.
215   $a1 online resource (653 pages)
225 1 $aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v307
311 08$a3-030-73236-3 
320   $aIncludes bibliographical references and index.
327   $aOptimization: Using Models, Validating Models, Solutions, Answers -- From the Problem to its Mathematical Formulation -- Mathematical Solution Techniques -- Problems Solvable Using Linear Programming -- How Optimization is Used in Practice: Case Studies in Linear Programming -- Modeling Structures Using Mixed Integer Programming -- Types of Mixed Integer Linear Programming Problems -- Case Studies and Problem Formulations -- User Control of the Optimization Process and Improving Efficiency -- How Optimization is Used in Practice: Case Studies in Integer Programming -- Beyond LP and MILP Problems -- Mathematical Solution Techniques - The Nonlinear World -- Global Optimization in Practice -- Polylithic Modeling and Solution Approaches -- Cutting & Packing beyond and within Mathematical Programming -- The Impact and Implications of Optimization -- Concluding Remarks and Outlook.
330   $aThis book presents a structured approach to formulate, model, and solve mathematical optimization problems for a wide range of real world situations. Among the problems covered are production, distribution and supply chain planning, scheduling, vehicle routing, as well as cutting stock, packing, and nesting. The optimization techniques used to solve the problems are primarily linear, mixed-integer linear, nonlinear, and mixed integer nonlinear programming. The book also covers important considerations for solving real-world optimization problems, such as dealing with valid inequalities and symmetry during the modeling phase, but also data interfacing and visualization of results in a more and more digitized world. The broad range of ideas and approaches presented helps the reader to learn how to model a variety of problems from process industry, paper and metals industry, the energy sector, and logistics using mathematical optimization techniques.
410  0$aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v307
606   $aOperations research
606   $aManagement science
606   $aMathematical optimization
606   $aOperations Research and Decision Theory
606   $aOperations Research, Management Science
606   $aContinuous Optimization
615  0$aOperations research.
615  0$aManagement science.
615  0$aMathematical optimization.
615 14$aOperations Research and Decision Theory.
615 24$aOperations Research, Management Science.
615 24$aContinuous Optimization.
676   $a519.7
700   $aKallrath$b Josef$0117371
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910495200503321
996   $aBusiness optimization using mathematical programming$9416569
997   $aUNINA