The research is aimed at providing effective resource planning with the annual scheduling of maintenance tasks in a multicentre/decentralized manner, while considering the resource, technical and logistical constraints and incurring minimum costs.
Postdoctoral fellow: Dr. Nima Safaei, Mechanical and Industrial Engineering, University of Toronto
Lead faculty member: Dr. Andrew K.S. Jardine, Mechanical and Industrial Engineering, University of Toronto
The research is aimed at providing effective long-term resource planning to effective scheduling of the maintenance tasks over a short-term horizon. The Bombardier Company provides the necessary requirements to the customers around the world to do the predefined maintenance tasks as well as unexpected repair jobs for their aircraft fleet. These services are performed as onsite or offsite, i.e., different centres or stations. Given the number and variety of tasks, limitations of the resources, and decentralized architecture of the problem, Bombardier finds it difficult to efficiently plan the resources and optimally schedule maintenance tasks. Hence, the problem can be defined as “Providing customers with the annual scheduling of maintenance tasks in a multicentre/decentralized manner, while considering the resource, technical and logistical constraints and incurring minimum costs”.