Multi-model for planning high-complexity spectrum
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.
Year of publication: |
2011
|
---|---|
Authors: | Oliveira, S.R.M. ; Cazarini, E.W. ; Oliveira, J.D. De |
Published in: |
International Journal of Services, Economics and Management. - Inderscience Enterprises Ltd, ISSN 1753-0822. - Vol. 3.2011, 2, p. 170-196
|
Publisher: |
Inderscience Enterprises Ltd |
Subject: | multi-models | supply chain planning | supply chain management | SCM | knowledge management | modelling | supply chain information |
Saved in:
Online Resource
Saved in favorites
Similar items by subject
-
Decision support framework for risk assessment of sustainable supply chain
Hadiguna, Rika Ampuh, (2012)
-
A supply chain forecast and planning application for small businesses
Zhu, Jishan, (2012)
-
Sustainable supply chain practices: research propositions for the future
Wagner, Beverly, (2010)
- More ...