Project

Energy-aware daily production scheduling with job selection

Code
bof/baf/4y/2025/01/016
Duration
01 January 2025 → 31 December 2026
Funding
Regional and community funding: Special Research Fund
Research disciplines
  • Social sciences
    • Production and service management
    • Mathematical methods, programming models, mathematical and simulation modelling
  • Engineering and technology
    • Modelling and simulation
Keywords
Metaheuristics Combinatorial Optimization Sustainability
 
Project description

In this project I will optimize daily production schedules combined with energy cost, based on my background in combinatorial optimization and metaheuristics. I will furthermore take order selection into account, to allow for a greater degree of flexibility (i.e. produce specific orders today or not) such that expected energy cost can be taken into account better. This way renewable energy can be used as efficiently as possible, e.g., by incorporating industrial batteries or by shifting energy demand to cheaper periods in time. In essence, I will develop an integrated approach which jointly considers production scheduling and energy sourcing, to contribute to the sustainable factory of the future.