MILP-based approaches for medium-term planning of single-stage continuous multiproduct plants with parallel units |
| |
Authors: | Songsong Liu Jose M Pinto Lazaros G Papageorgiou |
| |
Institution: | (3) Department of Chemical Engineering, Princeton University, Princeton, USA; |
| |
Abstract: | In this paper, we address the problem of medium-term planning of single-stage continuous multiproduct plants with multiple
processing units in parallel. Sequence-dependent changeover times and costs occur when switching from one type of product
to another. A traveling salesman problem (TSP)-based mixed-integer linear programming (MILP) model is proposed based on a
hybrid discrete/continuous time representation. We develop additional constraints and variables to ensure that subtours do
not occur in the solution. The model is successfully applied to an example of a polymer processing plant to illustrate its
applicability. In order to solve larger model instances and planning horizons, a rolling horizon approach is developed to
reduce the computational expense. Finally, the proposed model is compared to a recently published approach through literature
examples, and the results show that the computational performance of the proposed model is superior. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|