Supply chain model (SCM) are potentially capable to integrate different aspects in supporting decision making for enterprise management tasks. The aim of the paper is to propose an hybrid mathematical programming model for optimization of production requirements resources planning. The preliminary model was conceived bottom-up from a real industrial case analysed oriented to maximize cash flow. Despite the intense computational effort required to converge to a solution, optimisation done brought good result in solving the objective function.

Hybrid supply chain model for material requirement planning under financial constraints: A case study / Curci, Vita; Dassisti, Michele; Bru Josefa, Mula; Madronero Manuel, Diaz. - STAMPA. - 1618:(2014), pp. 358-361. (Intervento presentato al convegno International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE tenutosi a Athens, Greece nel April 4-7, 2014) [10.1063/1.4897747].

Hybrid supply chain model for material requirement planning under financial constraints: A case study

Dassisti, Michele;
2014-01-01

Abstract

Supply chain model (SCM) are potentially capable to integrate different aspects in supporting decision making for enterprise management tasks. The aim of the paper is to propose an hybrid mathematical programming model for optimization of production requirements resources planning. The preliminary model was conceived bottom-up from a real industrial case analysed oriented to maximize cash flow. Despite the intense computational effort required to converge to a solution, optimisation done brought good result in solving the objective function.
2014
International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE
978-0-7354-1255-2
Hybrid supply chain model for material requirement planning under financial constraints: A case study / Curci, Vita; Dassisti, Michele; Bru Josefa, Mula; Madronero Manuel, Diaz. - STAMPA. - 1618:(2014), pp. 358-361. (Intervento presentato al convegno International Conference of Computational Methods in Sciences and Engineering 2014, ICCMSE tenutosi a Athens, Greece nel April 4-7, 2014) [10.1063/1.4897747].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/16382
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