東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Applied simulation and optimization ...

Mota, Miguel Mujica.

Linked to FindBook

Google Book

Amazon

博客來

Applied simulation and optimization = in logistics, industrial and aeronautical practice /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied simulation and optimization/ edited by Miguel Mujica Mota, Idalia Flores De La Mota, Daniel Guimarans Serrano.
Reminder of title:	in logistics, industrial and aeronautical practice /
other author:	Mota, Miguel Mujica.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xv, 319 p. :ill., digital ;24 cm.
[NT 15003449]:	Simulation-based Optimization with HeuristicLab: Practical Guidelines and Real World Applications -- Simulation Optimization Approach to solve a complex multiobjective redundancy allocation problem -- OR AND SIMULATION IN COMBINATION FOR OPTIMIZATION -- Tree Search and Simulation -- Integrated solutions for delivery planning and scheduling in distribution centres -- Large Neighbourhood Search and Simulation for Disruption Management in the Airline Industry -- Allocation of Airport check - in counters using a Simulation - Optimization Approach -- Simulation and Optimization of the Pre-hospital Care System of the National University of Mexico -- Simulation Based Optimization Using Greedy Techniques and Simulated Annealing for Optimal Equipment Selection within Print Production Environments -- Linear Bus Holding Model for Real Time Traffic Network Control.
Contained By:	Springer eBooks
Subject:	Simulation methods. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-15033-8
ISBN:	9783319150338 (electronic bk.)

Applied simulation and optimization = in logistics, industrial and aeronautical practice /
Applied simulation and optimizationin logistics, industrial and aeronautical practice /[electronic resource] :edited by Miguel Mujica Mota, Idalia Flores De La Mota, Daniel Guimarans Serrano. - Cham :Springer International Publishing :2015. - xv, 319 p. :ill., digital ;24 cm.

Simulation-based Optimization with HeuristicLab: Practical Guidelines and Real World Applications -- Simulation Optimization Approach to solve a complex multiobjective redundancy allocation problem -- OR AND SIMULATION IN COMBINATION FOR OPTIMIZATION -- Tree Search and Simulation -- Integrated solutions for delivery planning and scheduling in distribution centres -- Large Neighbourhood Search and Simulation for Disruption Management in the Airline Industry -- Allocation of Airport check - in counters using a Simulation - Optimization Approach -- Simulation and Optimization of the Pre-hospital Care System of the National University of Mexico -- Simulation Based Optimization Using Greedy Techniques and Simulated Annealing for Optimal Equipment Selection within Print Production Environments -- Linear Bus Holding Model for Real Time Traffic Network Control.

Presenting techniques, case-studies and methodologies that combine the use of simulation approaches with optimization techniques for facing problems in manufacturing, logistics, or aeronautical problems, this book provides solutions to common industrial problems in several fields, which range from manufacturing to aviation problems, where the common denominator is the combination of simulation's flexibility with optimization techniques' robustness. Providing readers with a comprehensive guide to tackle similar issues in industrial environments, this text explores novel ways to face industrial problems through hybrid approaches (simulation-optimization) that benefit from the advantages of both paradigms, in order to give solutions to important problems in service industry, production processes, or supply chains, such as scheduling, routing problems and resource allocations, among others.

ISBN: 9783319150338 (electronic bk.)

Standard No.: 10.1007/978-3-319-15033-8doiSubjects--Topical Terms:

581321
Simulation methods.

LC Class. No.: T57.62

Dewey Class. No.: 003.3

Applied simulation and optimization = in logistics, industrial and aeronautical practice /
LDR:02826nmm m2200325 m 4500 001 2001863
003 DE-He213
005 20151117113656.0
006 m d
007 cr nn 008maaau
008 151215s2015 gw s 0 eng d
020 $a 9783319150338 (electronic bk.)
020 $a 9783319150321 (paper)
024 7 $a 10.1007/978-3-319-15033-8 $2 doi
035 $a 978-3-319-15033-8
040 $a GP $c GP
041 0 $a eng
050 4 $a T57.62
072 7 $a PDE $2 bicssc
072 7 $a COM014000 $2 bisacsh
072 7 $a MAT003000 $2 bisacsh
082 0 4 $a 003.3 $2 23
090 $a T57.62 $b .A652 2015
245 0 0 $a Applied simulation and optimization $h [electronic resource] : $b in logistics, industrial and aeronautical practice / $c edited by Miguel Mujica Mota, Idalia Flores De La Mota, Daniel Guimarans Serrano.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xv, 319 p. : $b ill., digital ; $c 24 cm.
505 0 $a Simulation-based Optimization with HeuristicLab: Practical Guidelines and Real World Applications -- Simulation Optimization Approach to solve a complex multiobjective redundancy allocation problem -- OR AND SIMULATION IN COMBINATION FOR OPTIMIZATION -- Tree Search and Simulation -- Integrated solutions for delivery planning and scheduling in distribution centres -- Large Neighbourhood Search and Simulation for Disruption Management in the Airline Industry -- Allocation of Airport check - in counters using a Simulation - Optimization Approach -- Simulation and Optimization of the Pre-hospital Care System of the National University of Mexico -- Simulation Based Optimization Using Greedy Techniques and Simulated Annealing for Optimal Equipment Selection within Print Production Environments -- Linear Bus Holding Model for Real Time Traffic Network Control.
520 $a Presenting techniques, case-studies and methodologies that combine the use of simulation approaches with optimization techniques for facing problems in manufacturing, logistics, or aeronautical problems, this book provides solutions to common industrial problems in several fields, which range from manufacturing to aviation problems, where the common denominator is the combination of simulation's flexibility with optimization techniques' robustness. Providing readers with a comprehensive guide to tackle similar issues in industrial environments, this text explores novel ways to face industrial problems through hybrid approaches (simulation-optimization) that benefit from the advantages of both paradigms, in order to give solutions to important problems in service industry, production processes, or supply chains, such as scheduling, routing problems and resource allocations, among others.
650 0 $a Simulation methods. $3 581321
650 0 $a Mathematical optimization. $3 517763
650 0 $a Stochastic processes. $3 520663
650 1 4 $a Mathematics. $3 515831
650 2 4 $a Computational Science and Engineering. $3 893018
650 2 4 $a Appl.Mathematics/Computational Methods of Engineering. $3 890892
650 2 4 $a Simulation and Modeling. $3 890873
650 2 4 $a Industrial and Production Engineering. $3 891024
700 1 $a Mota, Miguel Mujica. $3 2145793
700 1 $a Mota, Idalia Flores de la. $3 2145794
700 1 $a Serrano, Daniel Guimarans. $3 2145795
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-15033-8
950 $a Mathematics and Statistics (Springer-11649)