000001721 001__ 1721
000001721 005__ 20181207220027.0
000001721 037__ $$aCONFERENCE
000001721 041__ $$aeng
000001721 245__ $$aEstimate Supply Chain robustness using asymmetric loss functions
000001721 260__ $$aTrondheim, Norway$$bJune 13-15 2016$$c2016
000001721 269__ $$a2016-06
000001721 300__ $$a9 p.
000001721 506__ $$avisible
000001721 520__ $$9eng$$aSupply Chains have to be designed and managed holding simultaneously into account many different performance measures. Moreover, modern Supply Chains have to ensure satisfying performances despite an increasing degree of complexity and market uncertainty as well as be capable to limit the negative impacts of disruptive events. A multi-criteria robustness evaluation framework is proposed to deal with these challenges. The proposed approach allows to separately assessing the impact of various performance measures specifying tailor loss functions, being able to deal with non-linearity and asymmetric impacts. Moreover, an original Robustness Index is defined, in order to provide reliable estimations even in the presence of outliers and integrating information about kurtosis and skewness in the robustness estimation. The proposed framework is applied to a fictive industrial case to demonstrate its utilization and show the kind of analysis that can be done on the basis of the obtained results. The approach, simply requiring the definition of some parameters and the description of the characteristics of the Supply Chain configurations to be evaluated, is meant to be easily used by practitioners.
000001721 592__ $$aHEG - Genève
000001721 592__ $$bCRAG - Centre de Recherche Appliquée en Gestion
000001721 592__ $$cEconomie et Services
000001721 6531_ $$9eng$$amulti-criteria analysis
000001721 6531_ $$9eng$$arobustness
000001721 6531_ $$9eng$$aloss-function
000001721 6531_ $$9eng$$asimulation
000001721 6531_ $$9eng$$aSupply Chain
000001721 655_7 $$afull paper
000001721 65017 $$aEconomie/gestion
000001721 700__ $$aCanetta, Luca$$uDepartment of Innovative Technologies (DTI), SUPSI, Manno, Switzerland
000001721 700__ $$aCheikhrouhou, Naoufel$$uHaute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale
000001721 700__ $$aGlardon, Rémy$$uEPFL, Switzerland
000001721 711__ $$a2016 International Conference on Engineering, Technology and Innovation / IEEE lnternational Technology Management Conference (ICE/ITMC)$$cTrondheim, Norway$$d13/06/2016 / 15/06/2016
000001721 773__ $$tProceedings of the 2016 International Conference on Engineering, Technology and Innovation / IEEE lnternational Technology Management Conference (ICE/ITMC), June 13-15 2016, Trondheim
000001721 8564_ $$s164357$$uhttps://hesso.tind.io/record/1721/files/Cheikhrouhou_2016_ice.pdf
000001721 906__ $$aGREEN
000001721 909CO $$ooai:hesso.tind.io:1721$$pHEG_GE_CONFERENCE$$pGLOBAL_SET
000001721 950__ $$aI1
000001721 980__ $$aconference