Citation
A cyclic approach to large-scale short-term planning in chemical batch production. Journal of Scheduling, 12 (6): 595-606, 2009.
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Abstract
We deal with the scheduling of processes on a multi-product chemical batch production plant. Such a plant contains a number of multi-purpose processing units and storage facilities of limited capacity. Given primary requirements for the final products, the problem consists in dividing the net requirements for the final and the intermediate products into batches and scheduling the processing of these batches. Due to the computational intractability of the problem, the monolithic MILP models proposed in the literature can generally not be used for solving large-scale problem instances. The cyclic solution approach presented in this paper starts from the decomposition of the problem into a batching and a batch-scheduling problem. The complete production schedule is obtained by computing a cyclic subschedule, which is then repeated several times. In this way, good feasible schedules for large-scale problem instances are found within a short CPU time.
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Bibtex
@ARTICLE{2009-595-606-SI, author = {N. Trautmann and C. Schwindt},
title = {A cyclic approach to large-scale short-term planning in chemical batch production},
journal = {Journal of Scheduling},
year = {2009},
volume = {12},
pages = {595--606},
number = {6},
note = {Selected},
abstract = {We deal with the scheduling of processes on a multi-product chemical batch production plant. Such a plant contains a number of multi-purpose processing units and storage facilities of limited capacity. Given primary requirements for the final products, the problem consists in dividing the net requirements for the final and the intermediate products into batches and scheduling the processing of these batches. Due to the computational intractability of the problem, the monolithic MILP models proposed in the literature can generally not be used for solving large-scale problem instances. The cyclic solution approach presented in this paper starts from the decomposition of the problem into a batching and a batch-scheduling problem. The complete production schedule is obtained by computing a cyclic subschedule, which is then repeated several times. In this way, good feasible schedules for large-scale problem instances are found within a short CPU time.},
doi = {10.1007/s10951-009-0107-y},
owner = {user},
timestamp = {2012.05.25} }