TNK103-projects�within Quantitative Logistics

Martin Waldemarsson

Content

• Quantitative Logistics - General Topics
• Warehouse Digital Twin
• Simulation of coil buffer capacity between hot and cold rolling
• Electrified Emergency Services Fleet Planning

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Quantitative Logistics - General Topics

Analysis of�flows, planning and control,

through

• Modellering
• Optimization
• Simulation

in different logistics contexts.

• Big and Small
• Detailed and Holistic
• Strategic, Tactical and Operational
• Present and Future

as well as qualitative methodology for investigating processes, strategies, and managerial implications.

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Content

• Quantitative Logistics - General Topics
• Warehouse Digital Twin
• Simulation of coil buffer capacity between hot and cold rolling
• Electrified Emergency Services Fleet Planning

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​

Warehouse Digital Twin�– model a real warehouse, live

Why pick this?

• Digital twins are where simulation meets real operational data – a skill in high demand in logistics and manufacturing.
• You define the scope and build your own SIMIO prototype from scratch – not a rerun of someone else's model.
• You work with real WMS data and decide what sensors, RFID and interfaces a live twin would actually need.
• Strong playground for advanced 3D visualisation in SIMIO – results that look as good as they are.
• Requires solid discrete-event simulation (TNK089, TDDC28).

Good TNK103 project 🡪 potential Master Thesis Project

Warehouse Digital Twin�– what you will do

• Short literature study on digital twins in warehousing and logistics.
• Define a sharp use case: purpose, scope and functionality of the twin.
• Map required data against what the WMS already delivers – and what must be collected (sensors, RFID, positioning).
• Design the architecture linking warehouse, data sources and SIMIO.
• Build and evaluate a proof-of-concept SIMIO prototype.
• Grade 4–5: data-driven model updating, near-real-time synchronisation and prediction.

Supervisors:�Krisjanis Steins & Martin Waldemarsson

Content

• Quantitative Logistics - General Topics
• Warehouse Digital Twin
• Simulation of coil buffer capacity between hot and cold rolling
• Electrified Emergency Services Fleet Planning

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Coil Buffer Simulation�– find the bottleneck

Why pick this?

• How much buffer is needed between hot and cold rolling when production grows?
• Your simulation answers a real investment decision: more storage positions, or more mill capacity?
• Classic bottleneck analysis with downtime, availability and variability.
• Small team of 2 students – big responsibility, real industrial data.

Good TNK103 project 🡪 potential Master Thesis Project

Coil Buffer Simulation�– what you will do

• Short literature study on bottlenecks in production.
• Data collection and analysis from the real production flow.
• Build, verify and validate a SIMIO model of the hot rolling – buffer – cold rolling flow.
• Experiment with production rates, downtime and variability.
• Determine the throughput limit and the coil storage positions required.
• Grade 4–5: sensitivity analysis and recommendations on future storage capacity.

Supervisors:�Krisjanis Steins & Martin Waldemarsson

Content

• Quantitative Logistics - General Topics
• Warehouse Digital Twin
• Simulation of coil buffer capacity between hot and cold rolling
• Electrified Emergency Services Fleet Planning

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Electrified Emergency Fleet�– optimisation with impact

Why pick this?

• Societal impact: keep fire and rescue response times intact while the fleet goes fossil free.
• Real partner and real data – Räddningstjänsten Östra Götaland, with contacts already established.
• Mathematical optimisation on a problem nobody has solved yet: charging schedules under uncertainty.
• Builds on published research (ISCRAM 2026) – your results can matter beyond the course.

Good TNK103 project 🡪 potential Master Thesis Project

Electrified Emergency Fleet�– what you will do

• Literature survey on electric fleet management and de-carbonisation.
• Interview RTÖG personnel and analyse historical data.
• Define key indicators for charging schedules and infrastructure needs.
• Build a mathematical model for charging scheduling across all RTÖG stations.
• Analyse and validate the results together with RTÖG.
• Grade 3: deterministic model, two objective functions. Grade 4–5: one or two stochastic factors.

Supervisors:�Niki Matinrad & Martin Waldemarsson

Content

• Quantitative Logistics - General Topics
• Warehouse Digital Twin
• Simulation of coil buffer capacity between hot and cold rolling
• Electrified Emergency Services Fleet Planning

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Martin Waldemarsson�Division of Communication and Transport Systems (KTS)�

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Master of Science in Civil Engineering and Logistics

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