Person:
Alonso Ayuso, Antonio

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First Name
Antonio
Last Name
Alonso Ayuso
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Ciencias Matemáticas
Department
Area
Estadística e Investigación Operativa
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UCM identifierScopus Author IDDialnet ID

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Now showing 1 - 2 of 2
  • Publication
    On a selection and scheduling problem in automatic storage and retrieval warehouses
    (Taylor & Francis, 2013-09-01) Alonso Ayuso, Antonio; Tirado Domínguez, Gregorio; Udías, Angel
    Warehousing is one of the main components of the supply chain and its optimisation is crucial to achieve global efficiency. Warehouse operations involve receiving, shipping, storing and order picking, among other things, and the coordinated optimisation of all these different operations is highly complex. This paper examines a real selection and scheduling problem that arises in an automatic storage/retrieval warehouse system involving the scheduling of forklift pickup operations. The objective is to minimise the total loading time of the vehicles performing transportation, while respecting their departure due dates. This complex problem is approached via a two-phase decomposition method, combining both exact and heuristic procedures. The performance of the proposed solution method is evaluated using extensive computational results from several scenarios from a real case study using data from a real mattress warehouse.
  • Publication
    A 2-dimensional guillotine cutting stock problem with variable-sized stock for the honeycomb cardboard industry
    (2023-11-13) Terán Viadero, Paula; Alonso Ayuso, Antonio; Martín Campo, Francisco Javier
    This paper introduces novel mathematical optimisation models for the 2-Dimensional guillotine Cutting Stock Problem with Variable-Sized Stock that appears in a Spanish company in the honeycomb cardboard industry. This problem mainly differs from the classical cutting stock problems in the stock, which is considered variable-sized, i.e. we have to decide the panel dimensions, width, and length. This approach is helpful in industries where the stock is produced simultaneously with the cutting process. The stock is then cut into smaller rectangular pieces that must meet the customers' requirements, such as the type of item, dimensions, demands, and technical specifications. Furthermore, in the problem tackled in this paper, the cuts are guillotine, performed side to side. The proposed mathematical models are validated using real data from the company, obtaining results that drastically reduce the produced material and leftovers, reducing operation times and economic costs.