Dimensioning the Supply Chain Decision Support Systems

  1. Julio César Puche Regaliza 1
  2. Borja Ponte 2
  3. José Costas Gual 3
  4. Raúl Pino Diez 4
  5. Fuente García, David de la 4
  1. 1 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

  2. 2 Logistics Systems Dynamics Group. Aberconway Building, Colum Drive, CF10 3EU (Cardiff, UK)
  3. 3 Florida Universitària. Florida Centre de Formació. Department of Engineering
  4. 4 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

Buch:
Advances in engineering networks: proceedings of the 12th International Conference on Industrial Engineering and Industrial Management
  1. Castro, Rodolfo de (ed. lit.)
  2. Gerusa Giménez (ed. lit.)

Verlag: Springer Suiza

ISBN: 978-3-030-44529-4 978-3-030-44530-0

Datum der Publikation: 2020

Seiten: 175-182

Kongress: International Conference on Industrial Engineering and Industrial Management (12. 2018. Girona)

Art: Konferenz-Beitrag

Zusammenfassung

Supply chain management has gained a strategic importance in recent years because rivalry is moving from “firm vs. firm” to “supply chain vs. supply chain”. Hence, supply chain key actors are facing extremely hard decision-making because of riskmanagement, inventorymanagement, ethical procurement, total cost, and service challenges, among other major concerns. In this work, we propose a methodology to design appropriate decision support systems for dealing with the said issues. Organizational cybernetics offers a series of components that are very useful to device key points so to experiment decision-making based upon simulation tools. The implementation of the supply chain model through Petri nets and multiagents systems empowers the managers to increase the probability of making the right decisions in a bid to increase the supply chain viability over time. The work also shows a case study in which a decision support system has been implemented for the well-known Beer Game scenario. The interface of the developed prototype includes the parameter configuration area, the Colored Petri net and a monitoring board with the most relevant key performance indicators for the managers.