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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/70220

    Título
    An iterative price-based combinatorial double auction for additive manufacturing markets
    Autor
    Anton Heredero, Juan DeAutoridad UVA Orcid
    Villafáñez Cardeñoso, Félix AntonioAutoridad UVA
    Poza Garcia, David JesúsAutoridad UVA Orcid
    López Paredes, AdolfoAutoridad UVA Orcid
    Año del Documento
    2024
    Editorial
    Elsevier
    Descripción
    Producción Científica
    Documento Fuente
    Computers & Industrial Engineering, noviembre 2024, vol. 197, 110602
    Zusammenfassung
    The increasing adoption of additive manufacturing (AM) in the industrial sector is leading to an imbalance between supply and demand of additively manufactured subcomponents: companies demanding AM services require very specific products and AM suppliers differ widely in their capabilities. Some existing proposals aim to help match supply and demand by merely making customer–supplier allocations. Only a few recent works go beyond allocation issues and propose market mechanisms to also address pricing aspects. However, we observe that these mechanisms do not fully exploit the potential of additive manufacturing techniques. The aim of this paper is to design a market mechanism that considers the particularity of AM techniques, wherein suppliers can benefit from manufacturing multiple heterogeneous parts from multiple customers in the same build area to increase production throughput. This market mechanism has been implemented as an iterative combinatorial double auction that adapts to this feature of the AM market: customers will bid to get their orders produced and suppliers will submit asking quotes to win the production of combinations of those orders. The mechanism solves the allocation and pricing of AM orders while seeking the maximization of social welfare. The procedure is simulated in a theoretical environment to evaluate its performance and to identify the most appropriate conditions for its implementation in a real environment. Unlike other existing proposals for client-supplier allocation mechanisms in additive manufacturing, the proposed mechanism allows a single supplier to produce a combination of orders from different clients, leading to a pricing system that maximizes social welfare without participants disclosing sensitive information.
    Palabras Clave
    Additive manufacturing
    Combinatorial auctions
    Electronic platforms
    E-procurement
    Iterative bidding
    ISSN
    0360-8352
    Revisión por pares
    SI
    DOI
    10.1016/j.cie.2024.110602
    Patrocinador
    The authors wish to acknowledge MCIN/AEI, Spanish Government, and /10.13039/501100011033/FEDER UE, European Union, for the partial support through the PID2022-137948OA-I00 Research Project and the grant FPU19/01304 received by the corresponding author. Also, this research has been partially financed by the Regional Government of Castile and Leon (Spain) and the European Regional Development Fund (ERDF, FEDER) with grant VA180P20.
    Ministerio de Ciencia e Innovación (PID2022-137948OA-I00, FPU19/01304)
    Junta de Castilla y León/FEDER (VA180P20)
    Version del Editor
    https://www.sciencedirect.com/science/article/pii/S036083522400723X
    Propietario de los Derechos
    © 2024 The Author(s)
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/70220
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
    Aparece en las colecciones
    • DEP53 - Artículos de revista [97]
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