posted on 2020-07-08, 19:45authored byJaime Cerdá, Vanina G. Cafaro, Diego C. Cafaro
Integrated industrial facilities
usually make semifinished (SF)
products required for the production of a significant number of end
products through different batch processes. Each one may involve a
series of processing stages with several units running in parallel
and intermediate tanks between stages. Moreover, such processes can
manufacture several products but one at a time. SF products are temporarily
stored in dedicated tanks from where they are supplied to the demanding
production lines. Many complex process structures can be viewed as
a network of interconnected linear processes. The presence of dedicated
tanks allows batch mixing and splitting and changing of the batch
size with the linear process. This work introduces a general precedence-based
mixed-integer linear programming model for the short-term scheduling
of integrated facilities producing SF and end products using different
batch sequential processes. The batch facility is operated in a make-to-order
environment, with several customer orders involving the same end product.
A critical task is to synchronize the scheduling of the processes
making SF and end products. This requires determining lot-sizing and
scheduling of the processing lines all at once. In addition, the inventory
of SF-products should be monitored to avoid overloading and running
out conditions in their dedicated tanks. A significant number of examples
have been solved to optimality in reasonable CPU times.