Improving the remote scheduling of distributed production with process statistics and AI techniques

Orsoni, Alessandra; Bandinelli, Romeo

doi:10.1016/j.simpat.2006.09.012

Cited by 3 publications

(1 citation statement)

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“…The decentralized nature of modern SCNs and most of the modern business processes (e.g., distributed production [109]) make the MAS methodology an outstanding and powerful tool for modelling and analyzing SCNs. The capability of MAS to build large models with many heterogeneous agents acting independently fits with the increased complexity of global SCNs, usually composed of a large number of actors and where companies outsource noncore processes to suppliers, which are often widely distributed and dispersed throughout the territory [110], resulting in complex systems with unpredicted behavior.…”

Section: Discussionmentioning

confidence: 99%

Insights on Multi-Agent Systems Applications for Supply Chain Management

Domínguez

Cannella

2020

Sustainability

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In this paper, we review relevant literature on the development of multi-agent systems applications for supply chain management. We give a general picture of the state of the art, showing the main applications developed using this novel methodology for analyzing diverse problems in industry. We also analyze generic frameworks for supply chain modelling, showing their main characteristics. We discuss the main topics addressed with this technique and the degree of development of the contributions.

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Section: Discussionmentioning

confidence: 99%