In many industries, production and transport are now closely intertwined. Failure to integrate production and transportation schedules leads to excessive production and transportation costs. Moreover, it leads to additional unnecessary CO2 emissions from both production and transport. To address this common practical problem, this project focuses on the following research objectives: 1. The development of models and solution methods for integrated production and transport planning that are efficient, scalable and robust against the omnipresence of uncertainty in the processes. 2. Designing and developing a Proof‐of‐Concept planning tool for integrated production and transport planning, validated in the compound feed industry as a use case. Motivated by the above, the goal of the PhD project (which is a dual project together with Jasper van Doorn) is to develop new quantitative models and solution methods to provide insight in the bottlenecks, get a handle on coordination in order to improve the patient flows through the system. This project is part of the Dinalog‐funded research project “Artificial Intelligence Boosted Integrated Production and Transport Optimization (AI‐BIPTO).