%0 Conference Proceedings
%T A robust data driven approach to supply planning.
%+ Département Automatique, Productique et Informatique (IMT Atlantique - DAPI)
%+ Systèmes Logistiques et de Production (LS2N - équipe SLP  )
%A Loger, Benoit
%A Dolgui, Alexandre
%A Lehuédé, Fabien
%A Massonnet, Guillaume
%Z Part 4: Data-Driven Methods for Supply Chain Optimization
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B APMS 2021: IFIP International Conference on Advances in Production Management Systems
%C Nantes, France
%Y Alexandre Dolgui
%Y Alain Bernard
%Y David Lemoine
%Y Gregor von Cieminski
%Y David Romero
%I Springer International Publishing
%C Cham
%3 Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP Advances in Information and Communication Technology book series (IFIPAICT)
%V 633
%N Part IV
%P 169-178
%8 2021-09-05
%D 2021
%R 10.1007/978-3-030-85910-7_18
%K Supply chain
%K Data-driven optimization
%K Robust optimization
%Z Computer Science [cs]/Operations Research [math.OC]Conference papers
%X We develop two robust optimization models to plan the supply operations of an assembly line when the latter are subcontracted to an external service provider. The uncertainty sets are constructed from available information on picking times both in a classical budgetbased robust approach and by using Support Vector Clustering. Numerical experiments are conducted on test instances derived from a practical case to illustrate the effectiveness of the proposed approach. The results show that the robust optimization approach is efficient to reduce the impact of picking time uncertainties on production and that the SVCbased model outperforms the classical budget-based model.
%G English
%Z TC 5
%Z WG 5.7
%2 https://hal.science/hal-03545577/document
%2 https://hal.science/hal-03545577/file/520761_1_En_18_Chapter.pdf
%L hal-03545577
%U https://hal.science/hal-03545577
%~ UNIV-NANTES
%~ INSTITUT-TELECOM
%~ CNRS
%~ EC-NANTES
%~ UNAM
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ TDS-MACS
%~ IFIP-APMS
%~ IFIP-WG5-7
%~ LS2N
%~ LS2N-SLP
%~ LS2N-SLP-IMTA
%~ IMTA_DAPI
%~ LS2N-IMTA
%~ IMT-ATLANTIQUE
%~ INSTITUTS-TELECOM
%~ LS2N-MODELIS-IMTA
%~ NANTES-UNIVERSITE
%~ UNIV-NANTES-AV2022
%~ NU-CENTRALE
%~ IFIP-AICT-633