Proof of concept or AI assisted planning / AI powered decision making – Shell



Company Name / Department Shell
Contact Person Jeroen van Buijtenen
 Location Rotterdam – Delftse Poort
Optional remote work Yes (on the agreement)
Travel expenses (own account or reimbursed by the company) Reimbursed
Housing arranged by company No
Housing expenses (how much per month, own account or subsidized by the company) Own account
Internship compensation  €550,- per month
Study program Operations Management and Logistics
ESCF community

Full member

Start date

September, 2023


Company Description

We are a global group of energy and petrochemical companies with more than 80,000 employees in more than 70 countries. We use advanced technologies and take an innovative approach to help build a sustainable energy future.


Project Description

Project description:

The student will become part of the central Supply & Optimization team of Shell Chemicals in Europe.

This project forms a great opportunity for a student that wants to learn about supply chain planning and value chain optimization and how this drives value in Shell’s Chemicals business.

The supply chain includes processing raw materials (for example naphtha or bio naphtha) to produce base chemicals and further processing these chemicals in combinations of other products into derivative chemicals. Across each of these steps there are choice-points to either sell or continue to produce the derivative chemical. The goal of the value chain optimization at Shell Chemicals is to generate value (margin) from assets and selling the right products in our markets. This is driven by the monthly Supply and Operations Planning (S&OP) cycle which is led by the Optimization team and produces the plan for the upcoming three months. The Supply teams operationalize this monthly plan and (as part of the natural working team for the value chain) deliver the daily and weekly (optimization) decisions to deliver to our customers, handle disruptions and maximize value. Currently this is a process which is partly automated with quite a few manual steps.

Our vision is that we will move towards AI assisted (or even autonomous) planning in the future to support the many optimization decisions that this entails (and which are partly based on past scenarios and events and the experience of the supply planners). AI would be a powerful instrument to help in this decision making and to safeguard the organizational experience in an environment where planners move more quickly to new roles. This project targets a proof of concept (PoC) for AI assisted planning (ultimately AI powered decision making) in supply chain operations.

Goals of the project:

Deliver a proof of concept (PoC) for AI assisted planning (ultimately AI powered decision making) in supply chain operations that can be incorporated in our ways of working and existing planning tool (OMP).


    • Tested concept that deploys AI to assist with decision making and can be used in Supply Planning
    • Suggestions on how to use such a concept into our existing planning tool (OMP)

    Essential student knowledge:

    Supply Chain, AI, Optimisation models, programming, modelling.




    More information:  


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