Dr Natalia Hartono (she/her/hers)

Dr Natalia Hartono received her doctoral degree and was awarded the Ratcliffe Prize (Engineering) from the University of Birmingham. During her studies, she led her team to win first place in the Reman Challenge 2021 by BORG Automotive, a Europe-wide competition focused on remanufacturing business case studies. 

She serves as the co-chair of the International Workshop Series on the Bees Algorithm and Its Applications and has co-edited two books published by Springer: " Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach" (also translated to German as "Intelligente Produktions- und Fertigungsoptimierung - Der Bienenalgorithmus-Ansatz") and "Intelligent Engineering Optimisation with the Bees Algorithm"

She is co-author of a chapter on "Teaching decision-making models and techniques" in the Handbook on Teaching and Learning in Operations Management (Edward Elgar Publishing).

Her portfolio in Indonesia includes registered industrial design with focus on sustainability and educational innovation:

• A kinesthetic desk designed to enhance learning experiences for primary school students
• A sustainable modular furniture system made from corrugated cardboard waste, transformable into a table, chair and shelf
• An ergonomic desk with dual-height adjustability, constructed entirely from waste pallet pinewood using a bolt-free design

Her work also extends to developing an educational game that combines supply chain management with life cycle assessment principles registered as intellectual property.

Her research interests encompass operations research, supply chain management, meta-heuristics, digital twins, intelligent systems, remanufacturing, sustainability modelling, simulations, robotic applications, ergonomics, and multi-criteria decision-making. Dr. Natalia's work is driven by her passion for solving complex industrial challenges, with a particular focus on improving operational efficiency while minimising environmental impact. 

Google Scholar: Natalia Hartono

ResearcherID: E-9270-2018

Scopus ID: 57217127994

ORCID: https://orcid.org/0000-0003-2314-1394

Currently, I am looking for a motivated PhD student. Applications are always possible. If you have an interest in one or more of the following areas—operations research (MILP, machine learning, deep learning, heuristics, metaheuristics, optimisation, reinforcement learning), digital twins, robotics, industry 4.0, discrete event simulation, or logistics and supply chain—this could be for you. You will be based in the Streatham Campus as part of ExDES Lab. 

Funding: 

One UK home student can be funded

Chinese students can apply for China Scholarship Council and University of Exeter PhD Scholarships; more details: CSC 

International students, please check: PhD Funding

Feel free to contact me for more details.