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Optimal Planning and Scheduling

Scheduling of batch and semi-continuous processes is tied intimately with the efficiency of operations, utilization of storage, demand satisfaction, and operations uptime. Process scheduling is complicated by interdependencies of equipment networks, complex product recipes, storage limitations, product due dates (material deliveries) and limited utilities. Planning is typically executed over a longer time horizon, and provides production targets to the scheduling layer. The economic benefits of efficient scheduling and planning, and scale and complexity of optimizing and coordinating these tasks, has resulted in considerable and ongoing research activity in these areas. Our research in this field is driven primarily by industrial needs, and our studies typically involve close collaboration with industrial partners. Recent studies include optimal raw material purchasing and plant operation under uncertainty in steel manufacturing, and the development of optimal scheduling and planning formulations for an industrial food processing application. Current work considers extensions to these formulations, additional industrial applications, and the development of strategies for systematic integration of planning and scheduling.

Dr. Chris L. E. Swartz
Professor and Director, MACC
Pedro Castillo
Ph.D. Candidate
Mahir Jalanko
Ph.D. Candidate
Pulkit Mathur
Ph.D. Candidate
Kevin Meyer
MaSC recipient
Shailesh Patel
Ph.D. recipient
Alex Tikk
M.A.Sc. recipient
Philip Tominac
Ph.D. recipient
Optimal Short-Term Scheduling for Cascaded Hydroelectric Power Systems considering Variations in Electricity Prices
Mathur, P.Swartz, C. L. E., Zyngier, D., Welt, F.
Computer Aided Chemical Engineering, 44 1345-1350 (2018)
A game theoretic framework for strategic production planning
AIChE J (2017)  -  [ Publisher Version ]
Global Optimization of Nonlinear Blend-Scheduling Problems
Castillo, P., Pedro M. Castro, Mahalec, V.
Engineering, 3 (2) 188-201 (2017)  -  [ Publisher Version ]
Global Optimization Algorithm for Large-Scale Refinery Planning Models with Bilinear Terms
Castillo, P., Pedro M. Castro, Mahalec, V.
Industrial & Engineering Chemistry Research, 56 (2) 530-548 (2017)  -  [ Publisher Version ]
Hybrid Model for Optimization of Crude Distillation Units
Fu, G., Sanchez, Yoel, Mahalec, V.
AIChE J, 62 (4) 1065-1078 (2016)  -  [ Publisher Version | Open Access Version (free) ]
Improved continuous-time model for gasoline blend scheduling
Computers & Chemical Engineering, 84 627-646 (2016)  -  [ Publisher Version | Open Access Version (free) ]
Inventory pinch gasoline blend scheduling algorithm combining discrete- and continuous-time models
Computers & Chemical Engineering, (84) 611-626 (2016)  -  [ Publisher Version | Open Access Version (free) ]
Planning and Scheduling of Steel Plates Production. Part II: Scheduling of Continuous Casting
Computers & Chemical Engineering (2016)  -  [ Publisher Version | Open Access Version (free) ]
Bayesian Inference in Hybrid Networks with Large Discrete and Continuous Domains
Expert Systems with Applications, 49 1-19 (2016)  -  [ Publisher Version | Open Access Version (free) ]
Comparison of methods for computing crude distillation product properties in planning and scheduling
Ind Eng Chem Res, 54 (45) 11371-11382 (2016)  -  [ Publisher Version ]