Taking advantage of order consolidation in simultaneous batching and scheduling of multiproduct batch plants

Abstract

The simultaneous solution of batching and scheduling problems in multiproduct multistage batch plants remains being a challenge for both achieving computationally efficient models and considering all possible production scenarios. When multiple orders for each product are addressed, they are treated individually, which results in solutions that can be improved if all orders are consolidated in a total demand for that product. Thus, fewer batches should be required to satisfy the demand, leading to a more efficient use of the plant production capacity. This work analyzes the advantages and consequences of adopting order consolidation when it is supported by the production scheme and the product characteristics. A discrete-time mixed-integer linear formulation (MILP) is presented for the simultaneous solution of batching and scheduling problems, in which order consolidation of each product is admitted. Through several examples, results are assessed and compared with those obtained when the orders are processed individually.