ELiAR BV has successfully completed a collaborative project with the Department of Industrial Engineering at Eindhoven University of Technology (TU/e), carried out within the framework of a Bachelor Ending Project (BEP). The study focused on developing a decision-support approach for the dynamic scheduling of steam demand in textile dyeing processes, addressing a key operational challenge in modern dyehouses.
Textile dyeing is a highly energy-intensive process in which steam plays a central role for heating and temperature control. Since steam is typically generated centrally and shared across multiple machines, simultaneous heating phases can create peak demand situations, leading to inefficiencies, increased operational costs, and production instability. The BEP project aimed to tackle this problem by designing a data-driven scheduling framework that enables better coordination of steam usage across machines.
Based on real industrial production data provided by ELiAR BV, the project explored optimization-based scheduling methods to reduce peak steam demand while maintaining production continuity and product quality. The resulting framework demonstrates how advanced planning techniques can support more stable energy consumption profiles and improve overall operational efficiency without requiring changes to installed equipment.
Beyond the technical outcomes, the project represents another important step in strengthening ELiAR BV's collaboration with TU/e. The successful completion of this Bachelor Ending Project highlights the value of combining academic research with real industrial challenges, enabling students and researchers to contribute directly to practical innovation in textile automation.
ELiAR BV continues to invest in partnerships with leading universities to expand its R&D ecosystem and translate research results into scalable industrial solutions. The company looks forward to further joint projects that support smarter, more sustainable, and data-driven production in the textile industry.
