Marcello Urgo

Example Talk

Sat, 01 Jun 2030 13:00:00 +0000

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Dynamic reassembly control in flexible remanufacturing systems using Ant Colony Optimisation

Fri, 01 May 2026 00:00:00 +0000

Physics-based simulation framework for Digital Twin applications: Machine parameter tuning for handling of lumber in the wood industry

Wed, 01 Apr 2026 00:00:00 +0000

A Modular Framework for Implementing Release Control Policies in Discrete-Event Simulation Models

Fri, 02 Jan 2026 00:00:00 +0000

Towards digital twin-enhanced control policies: A knowledge-based classification of release and dispatching policies in manufacturing systems

Mon, 01 Dec 2025 00:00:00 +0000

Comparing Traditional and eXtended Reality-Based Learning: Effects on Performance, Emotions, and Cognitive Aspects

Wed, 03 Sep 2025 00:00:00 +0000

Advanced Computer Vision for Industrial Safety: Indoor Human Worker Localization Using Deep Learning

Wed, 01 Jan 2025 00:00:00 +0000

Future-Proof Production Scheduling and Control

Wed, 01 Jan 2025 00:00:00 +0000

Integrating digital factory twin and AI for monitoring manufacturing systems through synthetic data generation and vision transformers

Wed, 01 Jan 2025 00:00:00 +0000

A framework for virtual learning in industrial engineering education: development of a reconfigurable virtual learning factory application

Mon, 12 Aug 2024 00:00:00 +0000

Monitoring manufacturing systems using AI: A method based on a digital factory twin to train CNNs on synthetic data

Sat, 01 Jun 2024 00:00:00 +0000

An upper bound for the inter-exit time of two jobs in an m-machine flow shop

Thu, 11 Apr 2024 00:00:00 +0000

AI-Based Pose Estimation of Human Operators in Manufacturing Environments

Mon, 01 Jan 2024 00:00:00 +0000

Digital Twin for Factories: Challenges and Industrial Applications

Mon, 01 Jan 2024 00:00:00 +0000

Strategic Action Line LI4: High Efficiency and Zero Defect

Mon, 01 Jan 2024 00:00:00 +0000

Robust scheduling in a two-machine re-entrant flow shop to minimise the value-at-risk of the makespan: branch-and-bound and heuristic algorithms based on Markovian activity networks and phase-type distributions

Thu, 02 Nov 2023 00:00:00 +0000

RDM dataset

Tue, 08 Aug 2023 00:00:00 +0000

A branch-and-bound approach to minimise the value-at-risk of the makespan in a stochastic two-machine flow shop

Sun, 01 Jan 2023 00:00:00 +0000

Robust scheduling of remanufacturing processes for the repair of turbine blades

Sun, 01 Jan 2023 00:00:00 +0000

5G TIMBER

Wed, 01 Jun 2022 00:00:00 +0000

5G-TIMBER project aims to validate through robust evidence the latest 5G Industrial Private Network features and standards specifications for Wood Value Chain (WVC) under realistic conditions. In particular, to conduct advanced field trials of the more representative and innovative data-driven material, production and installation flows that implicate manufacturing across 4 prominent industries in the wood sector including, machinery and wood house elements manufacturing, construction and renovation towards green buildings, wood waste valorisation, and established telecom SME industries in a project remit that spans 3 representative European regions (Norway, Estonia, Finland). The project incentivises the opportunistic uptake of 5G in real-life business conditions. Specifically, 5G- TIMBER will target to increase wood-based materials recycling by 50%, increase manufacturing productivity by 15%, reach 99% of the work done in the factory (vs. 85% today), reduce on-site work by 10%, reduce product nonconformities by 10%, and increase the safety of workers in wooden houses production and onsite assembling. Validation of above overall targets through >100 interdisciplinary innovation driven technical, business and service-level KPIs for 09 diverse WVC usecases across 3 categories i.e., data driven sawmill woodworking machines; modular wood-house factory; construction and renovation with wooden elements, valorisation of composite waste. Usecases will be incrementally validated by 2 lab trials followed by 2 field trials in iterative cycle covering significant portions of end-to-end WVC. 5G-TIMBER also includes a comprehensive business case and exploitation strategy that incorporates novel approaches to materializing the value of data produced in industrial environments based upon 4 distinct business models. Our 16-partner consortium is driven by strong industrial and SME partners, renowned organisations the majority of which participate in FoF cPPP, 5G-PPP, GD projects.

Partners:

Tallinn University of Technology (EE)
Crowdhelix (IE)
Athonet (IT)
Inlecom Commercial Pathways Company (IE)
Jotne (NO)
Harmet (EE)
VTT Technical Research Centre (FI)
Politecnico di Milano - Dipartimento di Meccanica (IT)
InnovaWood (BE)
Hekotek (EE)
Tieto (FI/SE)
Octavic (RO)
Thales (FR/DE)
Accelleran (BE)

A learning workflow based on an integrated digital toolkit to support education in manufacturing system engineering

Sat, 01 Jan 2022 00:00:00 +0000

A mathematical foundation to support bidirectional mappings between digital models: an application of multi-scale modelling in manufacturing

Sat, 01 Jan 2022 00:00:00 +0000

A predictive–reactive approach for the sequencing of assembly operations in an automated assembly line

Sat, 01 Jan 2022 00:00:00 +0000

A Robust Scheduling Framework for Re-Manufacturing Activities of Turbine Blades

Sat, 01 Jan 2022 00:00:00 +0000

Design of serious games in engineering education: An application to the configuration and analysis of manufacturing systems

Sat, 01 Jan 2022 00:00:00 +0000

Scheduling Remanufacturing Activities for the Repair of Turbine Blades: An Approximate Branch and Bound Approach to Minimize a Risk Measure

Sat, 01 Jan 2022 00:00:00 +0000

A kronecker algebra formulation for markov activity networks with phase-type distributions

Fri, 01 Jan 2021 00:00:00 +0000

Advancement in production engineering education through Virtual Learning Factory Toolkit concept [Tootmisinseneride hariduse edendamine virtuaalse õppetehase tööriistakomplekti kontseptsiooni kaudu]

Fri, 01 Jan 2021 00:00:00 +0000

An Approximate Approach for the Verification of Process Plans with an Application to Reconfigurable Pallets

Fri, 01 Jan 2021 00:00:00 +0000

Multi-scale modelling of manufacturing systems using ontologies and delta-lenses

Fri, 01 Jan 2021 00:00:00 +0000

AVATAR

Tue, 01 Sep 2020 00:00:00 +0000

Formal modelling of release control policies as a plug-in for performance evaluation of manufacturing systems

Wed, 01 Jan 2020 00:00:00 +0000

Sustainable engineering master module - Insights from three cohorts of European engineering team

Wed, 01 Jan 2020 00:00:00 +0000

Slides

Tue, 05 Feb 2019 00:00:00 +0000

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porridge = "blueberry"
if porridge == "blueberry":
 print("Eating...")

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$$ f\left( x \right) = ;\frac{{2\left( {x + 4} \right)\left( {x - 4} \right)}}{{\left( {x + 4} \right)\left( {x + 1} \right)}} $$

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 color: navy;
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Documentation

A branch-and-bound approach for the single machine maximum lateness stochastic scheduling problem to minimize the value-at-risk