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Erschienen in:
Possibilistic Framework for Multi-objective Optimization Under Uncertainty Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

6. Storage Yard Management: Modelling and Solving

verfasst von : Gustavo Campos Menezes, Geraldo Robson Mateus, Martín Gómez Ravetti

Erschienen in: Bioinspired Heuristics for Optimization

Verlag: Springer International Publishing

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Abstract

The volume of cargo transported and stored around the world grows every year. To ensure competitiveness, productivity and cost savings, companies continually invest in process improvement and the development of IT tools. This chapter discusses various optimization problems existing in the process of storing and transporting loads. In this work, an integrated problem of planning and scheduling is defined, a mathematical programming model is investigated, and solutions are obtained through the use of heuristics and a commercial optimization package. The computational experiments (based in real cases) showed that the method is more efficient in producing a feasible solution than the solver.

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Vorheriges Kapitel A New Hybrid Method to Solve the Multi-objective Optimization Problem for a Composite Hat-Stiffened Panel
Nächstes Kapitel Multi-capacitated Location Problem: A New Resolution Method Combining Exact and Heuristic Approaches Based on Set Partitioning
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Metadaten
Titel
Storage Yard Management: Modelling and Solving
verfasst von
Gustavo Campos Menezes
Geraldo Robson Mateus
Martín Gómez Ravetti
Copyright-Jahr
2019
Buch
Bioinspired Heuristics for Optimization

Print ISBN: 978-3-319-95103-4

Electronic ISBN: 978-3-319-95104-1

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-319-95104-1_6