Estimate Supply Chain robustness using asymmetric loss functions

Canetta, Luca (Department of Innovative Technologies (DTI), SUPSI, Manno, Switzerland) ; Cheikhrouhou, Naoufel (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale) ; Glardon, Rémy (EPFL, Switzerland)

Supply Chains have to be designed and managed holding simultaneously into account many different performance measures. Moreover, modern Supply Chains have to ensure satisfying performances despite an increasing degree of complexity and market uncertainty as well as be capable to limit the negative impacts of disruptive events. A multi-criteria robustness evaluation framework is proposed to deal with these challenges. The proposed approach allows to separately assessing the impact of various performance measures specifying tailor loss functions, being able to deal with non-linearity and asymmetric impacts. Moreover, an original Robustness Index is defined, in order to provide reliable estimations even in the presence of outliers and integrating information about kurtosis and skewness in the robustness estimation. The proposed framework is applied to a fictive industrial case to demonstrate its utilization and show the kind of analysis that can be done on the basis of the obtained results. The approach, simply requiring the definition of some parameters and the description of the characteristics of the Supply Chain configurations to be evaluated, is meant to be easily used by practitioners.

Type de conférence:
full paper
Economie et Services
HEG - Genève
CRAG - Centre de Recherche Appliquée en Gestion
Adresse bibliogr.:
Trondheim, Norway, June 13-15 2016
Trondheim, Norway
June 13-15 2016
9 p.
Veröffentlicht in:
Proceedings of the 2016 International Conference on Engineering, Technology and Innovation / IEEE lnternational Technology Management Conference (ICE/ITMC), June 13-15 2016, Trondheim
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 Datensatz erzeugt am 2016-09-30, letzte Änderung am 2020-03-25

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