Application of multi-agent systems and block chains in additive manufacturing network scheduling

Additive manufacturing technologies enable facilities at any location in the global supply chain to bid for customer jobs. In this setting, job scheduling is based on due-dates, proximity to customer location, opportunities for cheaper consolidated shipments with other customers, etc. Both multi-agent systems and block chains can support scheduling for decentralized manufacturing. In this project, the student is expected to investigate how these technologies can work together and support intelligent scheduling of additive manufacturing tasks. The project will involve a broad literature review and the development of a case study with numerical modelling, implementation, and analysis.

Faculty Supervisor:

Uday Venkatadri

Student:

Partner:

ISEN

Discipline:

Engineering

Sector:

Advanced Manufacturing; Information and Communications Technology; Other

University:

Dalhousie University

Program: