TY - GEN
T1 - Building Optimal Consortia in Smart Production Ecosystems
AU - Dhungana, Deepak
AU - Haselböck, Alois
AU - Ruiz-Torrubiano, Rubén
AU - Wallner, Stefan
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023/7/15
Y1 - 2023/7/15
N2 - One of the key components of a smart production ecosystem is a marketplace that brings the different stakeholders involved in manufacturing product lines with variability requirements together. It is often not possible for a single factory to take on a production order to fully fulfill these requirements: multiple factories need to be involved and must work together as a consortium. In practice, setting up such consortia can be a lengthy process with several strategic, legal and organizational aspects to consider, which hinders short-term single-contract collaborations. This paper aims to present an approach for building a consortium in a marketplace environment by means of short-term contracts to quickly accept multi-factory manufacturing orders. In this setting, factory operators provide offers to fulfill one or more manufacturing steps involved in a published production tender. We propose a novel approach to achieve consensus between the participants regarding the contractual obligations, which results in an optimal smart contract between the consortium participants. The optimal consortium is selected based on a predefined objective function, like minimizing the overall production costs, minimizing the number or partners, $$\textrm{CO}:2$$ footprints, energy consumption or transportation efforts. The preference of all participating factories is considered.
AB - One of the key components of a smart production ecosystem is a marketplace that brings the different stakeholders involved in manufacturing product lines with variability requirements together. It is often not possible for a single factory to take on a production order to fully fulfill these requirements: multiple factories need to be involved and must work together as a consortium. In practice, setting up such consortia can be a lengthy process with several strategic, legal and organizational aspects to consider, which hinders short-term single-contract collaborations. This paper aims to present an approach for building a consortium in a marketplace environment by means of short-term contracts to quickly accept multi-factory manufacturing orders. In this setting, factory operators provide offers to fulfill one or more manufacturing steps involved in a published production tender. We propose a novel approach to achieve consensus between the participants regarding the contractual obligations, which results in an optimal smart contract between the consortium participants. The optimal consortium is selected based on a predefined objective function, like minimizing the overall production costs, minimizing the number or partners, $$\textrm{CO}:2$$ footprints, energy consumption or transportation efforts. The preference of all participating factories is considered.
KW - Multi-factory production
KW - Smart contract
KW - Smart production ecosystem
UR - http://www.scopus.com/inward/record.url?scp=85172400196&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-34821-1_86
DO - 10.1007/978-3-031-34821-1_86
M3 - Conference contribution
AN - SCOPUS:85172400196
SN - 9783031348204
T3 - Lecture Notes in Mechanical Engineering
SP - 790
EP - 798
BT - Production Processes and Product Evolution in the Age of Disruption - Proceedings of the 9th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV2023 and the 11th World Mass Customization and Personalization Conference MCPC2023
A2 - Galizia, Francesco Gabriele
A2 - Bortolini, Marco
PB - Springer Science and Business Media Deutschland GmbH
T2 - Production Processes and Product Evolution in the Age of Disruption - Proceedings of the 9th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV2023 and the 11th World Mass Customization and Personalization Conference MCPC2023
Y2 - 20 June 2023 through 23 June 2023
ER -