ANDREA MATTA

Professor

Politecnico di Milano

Italy

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Andrea Matta is a Professor at Politecnico di Milano, Italy. Her research areas include manufacturing systems optimization, energy modeling in machining, and advancements in electric vehicle battery technology. Recent contributions include studies on scheduling systems in manufacturing, simulation-based staffing optimization, and innovative teaching methods using lab-scale models. She is dedicated to enhancing sustainability and efficiency in production lines through data-driven approaches.

Articles (19)

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2025

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2021

Collaborators (6)

Gisela Lanza

head of institute

Karlsruher Institut für Technologie

GERMANY

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NICLA FRIGERIO

Senior assistant professor (RTDb)

Politecnico di Milano

ITALY

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BARBARA PREVITALI

Associate Professor

Politecnico di Milano

ITALY

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Giovanni Lugaresi

Prof. dr. ir. at KU Leuven

KU Leuven

BELGIUM

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Ettore Lanzarone

University of Bergamo

ITALY

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Matteo Rossi

Associate Professor

Politecnico di Torino

ITALY

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ANDREA MATTA

Research Interests

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About

Articles (19)

Flexible pallet automation system scheduling with limited fixture-pallets and material-pallets: A case study from an engine manufacturing enterprise

Current Status and Future Perspective in Electric Vehicle Battery Stacking: A Review

Simulation-based emergency department staffing and scheduling optimization considering part-time work shifts

Analytical models for flow time estimation of additive manufacturing machines

Augmented patterns for decomposition of scheduling and assignment problems

Generation of mathematical programming representations for discrete event simulation models of timed petri nets

Data-Driven Energy Modeling of Machining Centers Through Automata Learning

A new teaching approach exploiting lab-scale models of manufacturing systems for simulation classes

Exploiting a combined process mining approach to enhance the discovery and analysis of support processes in manufacturing

Energy-efficient control in multi-stage production lines with parallel machine workstations and production constraints

Simultaneous control of multiple machines for energy efficiency: a simulation-based approach

The Digital Twin Synchronization Problem: Framework, Formulations, and Analysis

Analysis of the near flatness phenomenon for multi-loop closed manufacturing systems

Reinforcement learning for sustainability enhancement of production lines

Throughput bottleneck detection in manufacturing: a systematic review of the literature on methods and operationalization modes

An Online Policy for Energy-Efficient State Control of Manufacturing Equipment

Energy-Efficient Control Policy for Parallel and Identical Machines With Availability Constraint

Buffer allocation problem in production flow lines: A new Benders-decomposition-based exact solution approach

Special Issue on Intelligent Energy Solutions to Sustainable Production and Service Automation

Collaborators (6)

Gisela Lanza

NICLA FRIGERIO

BARBARA PREVITALI

Giovanni Lugaresi

Ettore Lanzarone

Matteo Rossi

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