Subasta combinatoria para la programación dinámica en sistemas de fabricación distribuidos

  1. José Alberto Araúzo Araúzo 1
  2. Ricardo del Olmo Martínez 2
  3. Juan José Lavios Villahoz 2
  1. 1 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

  2. 2 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

Zeitschrift:
Dirección y organización: Revista de dirección, organización y administración de empresas

ISSN: 1132-175X

Datum der Publikation: 2013

Nummer: 51

Seiten: 55-64

Art: Artikel

DOI: 10.37610/DYO.V0I51.438 DIALNET GOOGLE SCHOLAR lock_openOpen Access editor

Andere Publikationen in: Dirección y organización: Revista de dirección, organización y administración de empresas

Indikatoren

Zitate erhalten

  • Zitate in Dialnet Metriken: 2 (01-06-2023)
  • Zitate in Dimensions: 0 (01-04-2023)

SCImago Journal Rank

  • Jahr 2013
  • Impact SJR der Zeitschrift: 0.191
  • Höchstes Quartil:
  • Bereich: Business, Management and Accounting (miscellaneous) Quartil: - Position im Bereich: 186/347
  • Bereich: Industrial and Manufacturing Engineering Quartil: - Position im Bereich: 201/516

CIRC

  • Sozialwissenschaften: B

Scopus CiteScore

  • Jahr 2013
  • CiteScore der Zeitschrift: 0.2
  • Bereich: Decision Sciences (all) Perzentil: 1

Dimensions

(Aktualisierte Daten ab 01-04-2023)
  • Gesamtzitate: 0
  • Letzten Termine: 0
  • Field Citation Ratio (FCR): 0.0

Zusammenfassung

The traditional static scheduling methods, based on hierarchical and centralized architectures, are not flexible enough to self-adapt to the dynamism and complexity of today’s manufacturing systems. For this reason, new proposals to improve the scheduling and control of agile manufacturing systems constantly appear. The auction based allocation methods as well as the software paradigm of multiagent systems, which offers new techniques to face complex unsolved problems, can help to find promising solutions in manufacturing systems. Traditionally, scheduling problems have been solved offline by a centralized decision-maker that use a global optimisation model. We propose to include in the system several decision-makers modelled as agents instead. We consider two kinds of agents: order agents and machines agents. Each order agent represents a product that is characterized by its operations, precedence relationships and due date. The goal of each order agent is to find machines that can perform the required operations and hence completing successfully the order. Each production order creates its own schedule (local schedule). An auction mechanism ensures that local schedules are nearly compatible (several orders don’t use the same machine at the same moment) and globally efficient. Every agent in the system can communicate with other agents through the exchange of messages. The interaction mechanism is ruled by means of a combinatorial auction where a theoretical basis is provided for structuring message sequencing, bid evaluation, and price updating. Our research contributes to the auction technique in manufacturing scheduling and control in two basic aspects: (1) we apply the auction mechanism for a routing flexible environment (an operation can be performed in several machines with a differing efficiency), (2) we propose an implementation that can schedule online, updating real-time information: planning horizon, changes in orders, changes in machine availability and capabilities. We include explicitly the option of reallocate resources in real time when a new order arrives to the system. In order to test the features of this approach we display some computational results. Preliminary results show efficient performance in dynamic scenarios, but there are still many matters to investigate. Future works will be devoted to test the proposed approach on more case studies or even on real cases. We can add complexity to the structure of the system, and we must improve some aspects of the auction mechanism such as convergence and stability.

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