Title: Multi-model for planning high-complexity spectrum

Authors: S.R.M. Oliveira, E.W. Cazarini, J.D. De Oliveira

Addresses: Department of Production Engineering, University of Sao Paulo, Sao Carlos, Brazil. ' Department of Production Engineering, University of Sao Paulo, Sao Carlos, Brazil. ' Department of Administration, University of Sao Paulo, Ribeirao Preto, Brazil

Abstract: This work intends to contribute to the planning guidelines in the field of Supply Chain Management (SCM). Thus, it develops a multi-model proposal supported by the definition of a highly complex spectrum of knowledge that considers a sequence of systematic procedures in the following phases – Phase 1: modelling the needs of information in SCM and Phase 2: determination of the critical knowledge in SCM. Several support instruments were used in the modelling elaboration in order to reduce subjectivity in the results: psychometric scales – Thurstone|s law of comparative judgement, multi-criteria compromise programming, Electre III and Promethee II, artificial neural networking and neurofuzzy networks. The results produced are satisfactory, validating the proposed procedure for SCM.

Keywords: multi-models; supply chain planning; supply chain management; SCM; knowledge management; modelling; supply chain information.

DOI: 10.1504/IJSEM.2011.039432

International Journal of Services, Economics and Management, 2011 Vol.3 No.2, pp.170 - 196

Published online: 05 Apr 2011 *

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