RT Journal Article
T1 An approach for strategic supply chain planning under uncertainty based on stochastic 0-1 programming
A1 Alonso Ayuso, Antonio
A1 Escudero Bueno, Laureano Fernando
A1 Garín, A.
A1 Ortuño Sánchez, María Teresa
A1 Pérez, G.
AB We present a two-stage stochastic 0-1 modeling and a related algorithmic approach for Supply Chain Management under uncertainty, whose goal consists of determining the production topology, plant sizing, product selection, product allocation among plants and vendor selection for raw materials. The objective is the maximization of the expected benefit given by the product net profit over the time horizon minus the investment depreciation and operations costs. The main uncertain parameters are the product net price and demand, the raw material supply cost and the production cost. The first stage is included by the strategic decisions. The second stage is included by the tactical decisions. A tight 0-1 model for the deterministic version is presented. A splitting variable mathematical representation via scenario is presented for the stochastic version of the model. A two-stage version of a Branch and Fix Coordination (BFC) algorithmic approach is proposed for stochastic 0-1 program solving, and some computational experience is reported for cases with dozens of thousands of constraints and continuous variables and hundreds of 0-1 variables.
PB Springer
SN 0925-5001
YR 2003
FD 2003-05
LK https://hdl.handle.net/20.500.14352/50254
UL https://hdl.handle.net/20.500.14352/50254
LA eng
NO Alonso-Ayuso, A., L.F. Escudero, A. Garín, M.T. Ortuño, y G. Pérez. «[No title found]». Journal of Global Optimization 26, n.o 1 (2003): 97-124. https://doi.org/10.1023/A:1023071216923.
NO Comisión Interministerial de Ciencia y Tecnología (España)
NO  Dirección General de Coordinación y Estudios (España)
NO Universidad del País Vasco
DS Docta Complutense
RD 12 abr 2025