Optimization Framework for the Simultaneous Batching and Scheduling of Multisite Production Environments

ACKERMANN, SERGIO; FUMERO, YANINA; MONTAGNA, JORGE M.

INDUSTRIAL & ENGINEERING CHEMICAL RESEARCH

AMER CHEMICAL SOC

Año: 2018 vol. 57 p. 16395 - 16406

0888-5885

In recent years, many companies have shiftedfrom single-site production to more complex manufacturingenvironments involving multiple multiproduct facilities. At theoperational level, the scheduling posed on each individualfacility does not lead to efficient use of resources andconsequently an optimal production management over thewhole production system cannot be achieved. In this context,a multisite production scheduling framework is fundamentalto respond appropriately to the market requirements. In thiswork, a mixed-integer linear programming (MILP) model forthe simultaneous batching and scheduling of multisitemultiproduct batch plants with nonidentical parallel units is proposed. Given a set of manufacturing sites with unit capacitiesand structure known and multiple orders with associated release and due dates, the proposed approach determines the plantwhere each customer order must be processed, the number and sizes of batches to satisfy each order, the assignment of thesebatches to units, as well as the sequencing and timing of batches on each unit of the plant that processes them, in order tominimize the global makespan related to the whole production system. The application and performance of the proposed modelare highlighted through numerical examples.