INGAR   05399
INSTITUTO DE DESARROLLO Y DISEÑO
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
A mixed integer linear programming model for simultaneous design and scheduling of flowshop plants
Autor/es:
FUMERO, YANINA; CORSANO, GABRIELA; MONTAGNA, JORGE M.
Lugar:
Buenos Aires, Argentina
Reunión:
Congreso; 24th IFIP TC7Conference on System Modeling and Optimization; 2009
Institución organizadora:
International Federation for Information Processing
Resumen:
In this work a detailed, large scale and MILP mathematical model for support simultaneously design and scheduling of flowshop plants, considering ZW transfer policy and MPC, is addressed. A batch plant with N stages, that produces Np products, and with Kj available parallel units in stage j, is considered. Since the parallel units in each stage j are assumed to be identical, a batch can be processed on any unit with the same processing time. Thus, a unique processing time tij is defined for product i in the stage j. The assignment of batches to specific units is realized under a synchronous slot-based representation (Méndez et al., 2006). In order to avoid original non linear design formulations, it is assumed that units are provided in discrete sizes, which is the usual commercial procurement policy, and that a maximum number of batches of product iis allowed in a campaign. Design constraints pose the production requirements selecting the number of units for each stage with their sizes. Appropriate scheduling constraints are incorporated to obtain the production sequence of different products in a campaign, fulfilling demands in the time horizon. The objective function minimizes the investment cost for the plant configuration. The proposed MILP model is a novel approach where the simultaneous optimization of plant design and scheduling considering MPC can be solved to global optimality with reasonable computational effort. The performance is assessed taking into account the main problem parameters.