Cansu Kandemir
BSc, MSc, PhD
Advanced Manufacturing Research Centre
Technical Fellow for Manufacturing Intelligence
Full contact details
Advanced Manufacturing Research Centre
Factory 2050
Sheffield Business Park
Sheffield
S9 1ZA
- Profile
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Dr. Cansu Kandemir is a Technical Fellow for Manufacturing Intelligence at the AMRC, with 15 years of experience in the simulation and modelling of complex systems, specialising in Discrete Event Simulation. She has led and contributed to research and development projects across the Automotive, Aerospace, and Food sectors, optimising systems using advanced modelling techniques.
Dr. Kandemir’s research focuses on integrating Industry 4.0 technologies into modelling and simulation to improve decision-making accuracy. She holds a PhD in Engineering Management and Systems Engineering and an MSc in Logistics Management.
- Research interests
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- Discrete Event Simulation
- Mathematical Modelling
- Optimisation
- System Dynamics
- Agent Based Modelling
- Industry 4.0
- Publications
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Journal articles
- Modelling the impact of shelf-life extension on fresh produce waste in UK homes. Cleaner Waste Systems, 10. View this article in WRRO
- Assessing the environmental sustainability of consumer-centric poultry chain in the UK through life cycle approaches and the household simulation model. Science of The Total Environment, 929. View this article in WRRO
- Using discrete event simulation to explore food wasted in the home. Journal of Simulation.
- Work process improvement through simulation optimization of task assignment and mental workload. Computational and Mathematical Organization Theory, 25(4), 389-427.
- A workload model to evaluate distracters and driver's aids. International Journal of Industrial Ergonomics, 63, 18-36.
- A Pseudo-Polynomial Time Algorithm for a Special Multiobjective Order Picking Problem. International Journal of Information Technology & Decision Making, 14(05), 1111-1128.
- Modeling Turkey’s future LNG supply security strategy. Energy Policy, 46, 144-152.
Chapters
- Modelling approaches to food waste : discrete event simulation; machine learning; Bayesian networks; agent-based modelling; and mass balance estimation In Reynolds C, Soma T, Spring C & Lazell J (Ed.), Routledge Handbook of Food Waste Routledge (Taylor & Francis) View this article in WRRO
- Modelling Approaches to Food Waste, Routledge Handbook of Food Waste (pp. 326-344). Routledge
- Human Performance Modeling for Distracted Driving, Topics in Safety, Risk, Reliability and Quality (pp. 119-134). Springer International Publishing
Conference proceedings papers
- View this article in WRRO
- View this article in WRRO
- Levels of SysML Compatibility for Collaborative Human System Development. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 60(1) (pp 1711-1715)
- Modelling the impact of shelf-life extension on fresh produce waste in UK homes. Cleaner Waste Systems, 10. View this article in WRRO
- Research group
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Integrated Manufacturing Group - Digital
- Grants
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BEIS - IETF
DD3DCPM Deep Decarbonisation of Complex Concrete Product Manufacturing
Co-I
2024-2025
Amount to UOS £150kNERC
Reducing plastic packaging and food waste through product innovation simulation
Co-I
2021-2024
Amount to UOS £380kATI
Airbus NextWing
Technical Lead
2022-2026
Amount to UOS £400kATI
Airbus OneHeart
Technical Lead
2022-2026
Amount to UOS £450k
- Teaching activities
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Dr. Kandemir has taught BSc and MSc modules at overseas institutions, covering topics such as Mathematical Programming and Applications, Simulation, and Production Systems Analysis.