Projet de recherche doctoral numero :4721


Date depot: 1 janvier 1900
Titre: Stochastic optimization for planning remanufacturing activities under uncertainty
Directrice de thèse: Safia KEDAD-SIDHOUM (CEDRIC)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Aide à la décision et recherche opérationnelle

Resumé: Due to the rarefaction of natural resources, the hardening of environmental public legislation and the growing customer awareness for green products, industrial companies are increasingly under pressure to reduce the environmental impact of their industrial operations. One way of achieving this objective is to remanufacture industrial products once they have reached their end of life. Remanufacturing consists in replacing or reprocessing components obtained from used products in order to bring the used products to a like-new condition. By enabling the reuse of materials and parts embedded in used products, it both reduces waste generation and avoids depletion of natural resources. This PhD project deals with mathematical optimization problems linked with the short-term planning of remanufacturing activities. Planning remanufacturing consists e.g. in deciding how much and when disassemble used products, how much and when produce remanufactured products, how much and when order for new materials. One of the main related challenges is the high level of uncertainty in the input data needed to make these decisions (see Lage Junior and Godinho Filho, 2012). Namely in addition to the uncertainty on market demand faced by traditional production processes, in remanufacturing there is also a high level of uncertainty on the quantity and quality of the used products to be processed. This is due to the fact that we cannot control when each individual user will bring its used product back and in which usage state this product will be (see Guide 2000). The main objective of the PhD candidate will be to develop new stochastic programming approaches for planning remanufacturing activities under uncertainty.

Doctorant.e: Quezada Franco