multiproduct batch plants;
batching;
production scheduling;
order consolidation;
MILP model;
MULTIPLE ORDERS;
MODELS;
SCOPE;
D O I:
10.1016/j.compchemeng.2021.107564
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
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 possi-ble production scenarios. When multiple orders for each product are addressed, they are treated individ-ually, 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 adopt-ing 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. (c) 2021 Elsevier Ltd. All rights reserved.