PhD thesis on « Predictive and Prescriptive Analytics for Production Planning »

IMT Atlantique, Nantes, France

Deadlines for applying: July 5th, 2020

Start: Sept - Dec 2020, for 3 years PhD Program

Within the H2020 European ASSISTANT project (LeArning and robuSt deciSIon SupporT sytems for agile mANufacTuring environments), this thesis aims to develop an intelligent digital twin for production planning to help production managers operate an agile factory.

This twin extends advance planning systems with artificial intelligence and data analytics to take advantage of the massive amount of data generated on the shop floor and external data sources to yield better planning decisions. More specifically, it will be a decision support tool that helps production directors adjust the production capacity to demand (e.g., specifying the shop floor configuration, setting the worker requirements, subcontracting labor, setting the number of functional assembly lines, etc), and places orders of necessary components to the suppliers. This twin will yield robust decisions to hedge against various sources of uncertainties such as demand, production defects, process durations, etc. > link to the announcement.

Keywords: Production planning, Decision support, Digital twin, Optimization, Data analytics, Machine learning, Artificial Intelligence.

Supervisors:
Prof. Dr. Alexandre Dolgui, Dr. Simon Thevenin, Dr. Thomas Yeung.

CV, letter of motivation, master grads, and recommendation letters must be sent to

    alexandre.dolgui@imt-atlantique.fr
    simon.thevenin@imt-atlantique.fr
    thomas.yeung@imt-atlantique.fr