ERDAL AYDEMIRPROFESSOR OF INDUSTRIAL ENGINEERING
Research

Decision intelligence under uncertainty.

Research at the intersection of Grey Systems Theory, artificial intelligence, optimization and operations research, with an emphasis on interpretable methods for real-world industrial decisions.

GS

Grey Systems Theory & Applications

Grey numbers, grey incidence analysis, grey forecasting, uncertainty representation and grey decision models.

AI

Artificial Intelligence

Machine learning, explainable AI, intelligent analytics and hybrid decision-support methods.

INV

Inventory Systems

EOQ/EPQ models, imperfect production, rework, recovery and uncertainty-aware inventory planning.

VRP

Routing Problems

TSP, VRP and inventory-routing problems with optimization and metaheuristics.

OPT

Optimization

Linear, mixed-integer and nonlinear programming together with metaheuristic approaches.

ABS

Agent-Based Modelling

Simulation of complex systems, emergent behaviour, validation and decision experiments.

MC

MCDM / MADM

Multi-criteria methods for selection, prioritization, evaluation and strategic decisions.

Signature Research Direction

From Knowledge Discovery to Explainable Grey AI

Grey AI is presented here as a research direction that combines small-sample and incomplete-information reasoning from Grey Systems Theory with data-driven artificial intelligence, optimization and explainability.

KD
Knowledge DiscoveryData · information · patterns · domain knowledge
U
UncertaintyPartial observability · sparse information · grey numbers
GI
Grey IntelligenceGrey modelling · optimization · relational analysis
XAI
Explainable AIInterpretability · transparency · trustworthy decisions
Small-data awareUseful when conventional large-sample assumptions are difficult to satisfy.
Hybrid intelligenceCombines mathematical modelling, expert knowledge and data-driven learning.
Decision orientedDesigned around explainable recommendations, not prediction alone.
Graduate Research

Supervision themes

Graduate studies supervised across grey agent-based simulation, uncertain project scheduling, patent evaluation, facility location, financial analysis, feature selection, ERP selection, inventory recovery and routing under uncertainty.

View supervised theses →