Integration of planning and scheduling for an industrial-scale analytical services facility

The aim of this project is to develop a computer-based algorithm that will integrate a planning model with a scheduling model to improve operations management for analytical service facilities. An iterative decomposition algorithm that can provide optimal production scheduling sequences (in acceptable computational times) based on changes in the strategic planning decisions will be provided and tested on an actual industrial-scale facility. Integration of planning and scheduling studies for large-scale plant sizes like that considered in this study have not been reported in the literature. Outcomes from this study will be instrumental to determine the technical feasibility of the proposed algorithm in analytical services facilities and to advance the mining sector in Canada.

Intern: 
Kavitha Girijavallabhan Menon
Faculty Supervisor: 
Luis Ricardez Sandoval
Project Year: 
2018
Province: 
Ontario
Partner: 
Program: