Applied Simulation and Optimization: In Logistics, by Miguel Mujica Mota, Idalia Flores De La Mota

By Miguel Mujica Mota, Idalia Flores De La Mota

Presenting options, case-studies and methodologies that mix using simulation ways with optimization innovations for dealing with difficulties in production, logistics, or aeronautical difficulties, this ebook offers suggestions to universal commercial difficulties in numerous fields, which diversity from production to aviation difficulties, the place the typical denominator is the combo of simulation’s flexibility with optimization strategies’ robustness.

Providing readers with a entire consultant to take on comparable concerns in commercial environments, this article explores novel how one can face commercial difficulties via hybrid techniques (simulation-optimization) that enjoy the merits of either paradigms, so as to supply ideas to big difficulties in provider undefined, creation techniques, or provide chains, similar to scheduling, routing difficulties and source allocations, between others.

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Operations Research, 25(1):45– 61, Jan-Feb 1977. 35. J. Parejo, A. Ruiz-Cortés, S. Lozano, and P. Fernandez. Metaheuristic optimization frameworks: a survey and benchmarking. Soft Computing, 16(3):527–561, 2012. 36. V. Pillac, C. Guéret, and A. L. Medaglia. An event-driven optimization framework for dynamic vehicle routing. Decision Support Systems, 2012. 37. M. Pinedo. Scheduling: Theory, Algorithms and Systems. Prentice-Hall, 1995. 38. E. Pitzer, A. Beham, M. Affenzeller, H. Heiss, and M. Vorderwinkler.

No shuffling is possible at handover places which means only the topmost slabs at handover stacks can be retrieved. In the slab yard, only a single straddle carrier can operate at an individual handover place. • Rolling constraints ensure the correct transportation of slabs to the rolling mill. A certain security buffer of slabs scheduled to be rolled has to be present at the rolling mill which cannot be underrun. Additionally, the rolling sequence has to be followed to a certain degree, otherwise the cranes at the rolling mill have to reshuffle the slabs.

In Companion Publication of the 2012 Genetic and Evolutionary Computation Conference, GECCO’12 Companion, pages 125–132, Philadelphia, PA, USA, July 2012. 9. W. Bell, L. Dalberto, M. Fisher, A. Greenfield, R. Jaikumar, P. Kedia, R. Mack, and P. Prutzman. Improving the distribution of industrial gases with an online computerized routing and scheduling optimizer. Interfaces, 13:4–23, 1983. 10. -G. -P. Schwefel. Evolution strategies - A comprehensive introduction. Natural Computing, 1(1):3–52, March 2002.

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