Man in suit holds tablet, blue background with endles rows of the word future.

PIM
Projects

Research and Industry-funded projects of Research Unit Production and Maintenance Management.

The PIM Research Unit is involved in manifold research and industry-funded projects focusing on data-driven and human-centered maintenance and related applications and use-cases. The following list is intended to provide a brief overview of all these activities and to illustrate the diverse competencies of the group.

Research & Industry Projects

Ongoing projects:

WELDNET (EU - Center of Vocational Excellence)

(2025 - 2028): Network of Inclusive COVEs on Circular Material Welding and Preventive Maintenance for Socially Safe, Resilient & Sustainable Automotive Manufacturing

ReMAIntAIn (FFG)

(01/04/2025 - 31/03/2028): AI-Based Repair and Reuse in Resource Intensive Machinery

AISkills4Lean (EIT Manufacturing)

(2024 - 2025): AI skills for enhancing lean manufacturing 4.0

A3R - Aviation, AI, und AR (EU/FFG)

(01.09.2024 – 31.10.2025): Augmented Reality and Artificial Intelligence for Enhanced Aircraft Inspection

COIN (EU/FFG)

(01/03/2025 - 30/11/2025): Implementation of a LLM-based Chatbot for Assessing Inclusivity in Manufacturing Enterprises

CapturAbility (Wirtschaftsagentur Wien)

(2024 - 2025): CapturAbility: Inclusive Work System Design in Manufacturing Systems

WIN (Industrie)

(01.10.2023 – 30.09.2027): Knowledge-based optimization of fleet-asset management

BEHAVE (FFG)

(01.10.2023 – 01.10.2026): Capture, monitoring, and evaluation of the actual usage of chain-driven vehicles for optimizing life cycle costs

CYPHER-COST-ACTION (EU)

[Translate to English:] Zwei Geschäftsmänner stehen vor Laptops und betrachten Daten auf ihren Bildschirmen, während im Hintergrund ein abstraktes digitales Netzwerk mit einer zentralen Gehirn-ähnlichen Struktur dargestellt wird, das moderne Technologien und Datenanalyse symbolisiert.

(10.2023 - 10.2027): Cyber-Physical systems and digital twins for the decarbonization of energy-intensive industries (CYPHER)

IdealWork (TU Wien)

[Translate to English:] Ein Mann in einem blauen Anzug hält ein Tablet und tippt darauf, während im Hintergrund das Wort 'FUTURE' mehrmals in einem futuristischen, digitalen Stil in den Raum projiziert wird. Die Darstellung symbolisiert Technologie und den Blick in die Zukunft.

(2022 - now): Individualizeable Work Systems in Manufacturing

Dr. Opera (FFG)

[Translate to English:] Ein Blick auf eine große Rohrleitung, die sich über eine bewaldete, hügelige Landschaft erstreckt. Die Rohre verlaufen parallel zueinander und sind in die grüne Umgebung eingebettet, während im Hintergrund Stromleitungen durch den Wald führen. Die Szene vermittelt eine Verbindung zwischen Industrie und Natur.

(2022 - now): Multicriteria Decision Support Framework for Orchestrating Sustainability Factors in Operation Management Strategies

XR in Teaching (TU Wien)

(03.2023 - 12.2023): Extended Reality in Teaching

EIT M IDS (EIT Manufacturing East GmbH)

(2023 - now) EIT Manufacturing: Discovering Data Science

EULiST (EU)

(2023 - 2027): European Universities Linking Society and Technology

True_Usage (FFG)

(2020 - 2023): System for monitoring true usage and optimizing maintenance and inventory planning

Finished projects:

PdM@Pharma (01.2022 - 12.2023): Evolution of Prescriptive Maintenance in the Pharmaceutical Industry - Design and Evaluation of a Novel Data-Driven Maintenance Strategy for the Example of a Chromatography Machine

RheinPlan (2021 - 2023): A Rheinmetall-specific maintenance tool for military commercial vehicles

digiTeachVR (04.2022 - 12.2022): digiTeachVR- Digital, integral course for the use of Virtual Reality in Industrial Data and Building Science

WetProRail (2022 - 2023): Weather-based Forecasting Model to Map the Relationship between Weather and Wheel/Rail Contact

CompetenSEE (2023): Hybrid training course for promoting competence development in manufacturing in South-East Europe

DigiTS-ME (2022 - 2023): Lean Industry 4.0 for more competitive production and maintenance in the SMEs

TU-Mars (2020 - 2023): Text Understandability for Maintenance, Availability, Reliability and Safety Management Systems; Text Understandability for Maintenance, Availability, Reliability and Safety Management Systems

PATHFINDER (2022): Hybrid learning paths for professional education in manufacturing

ConnectSEE (2022): Connecting Learning Factories for Promoting Manufacturing Education in South-East Europe

Learn4SMEs (2022): Learning Factory for Improving Digital Competitiveness and Industry 4.0 Readiness of SMEs in Balkans

DigiOrder (01.2021-12.2021): The influence of digital technologies from Industry 4.0 on production key figures and the process efficiency of an assembly department

digiLab IDS (2020-2021): Digital training and laboratory infrastructure for the Industrial Data Science certificate course at TU Wien.

PRESIDE (01.04.2020 – 31.06.2020): Forecasting models for ensuring essential services

RoboNuggets (2020): Provides state of the art learning content for the guided learning platform (GLP) of EIT Manufacturing.

UN.I.CO (2020): Provides interactive, hands-on educational content for guided learning platform (GLP) of EIT Manufacturing.

DigiMain 4.0 (2021): Empowering Digital and Technical Robotics Skills of Maintenance Workforce 4.0

Digital Shift Book 4.0 (2020): Text mining tool for extracting hidden knowledge from digital shift books.

InComSMEs (2017-2019): Increasing the competitiveness of the domestic SMEs in North Macedonia in order to improve their cooperation with foreign investors’ companies.

Maintenance 4.0 (2015-2017): Assurance of product quality and plant availability through a real-time based maintenance control center.

Student research projects, Bachelor, Master or Diploma theses

Different topics in maintenance 4.0 focusing on human-centered and data-driven approaches are supervised by PIM team.

Name	Purpose	Lifetime	Type	Provider
CookieConsent	Saves your settings for the use of cookies on this website.	1 year	HTML	Homepage TU Wien
SimpleSAML	This is needed to distinguish between the sessions of the logged-in users.	session	HTTP	Login TU Wien
SimpleSAMLAuthToken	This is needed to distinguish between the sessions of the logged-in users.	session	HTTP	Login TU Wien
fe_typo_user	Is needed so that in case of a Typo3 frontend login the session ID is recognized to grant access to protected areas.	session	HTTP	Homepage TU Wien
staticfilecache	Is needed to optimize the delivery time of the website.	session	HTTP	Homepage TU Wien
JESSIONSID	Is needed so that in case of a LectureTube the session ID is recognized to grant access to protected areas.	session	HTTP	LectureTube TU Wien
_shibsession_lecturetube	This is needed to distinguish between the sessions of the logged-in users.	session	HTTP	LectureTube TU Wien

Name	Purpose	Lifetime	Type	Provider
_pk_id	Used to store a few details about the user such as the unique visitor ID.	13 months	HTML	Matomo TU Wien
_pk_ref	Is used to store the information of the users home website.	6 months	HTML	Matomo TU Wien
_pk_ses	Is needed to store temporary data of the visit.	30 minutes	HTML	Matomo TU Wien

Name	Purpose	Lifetime	Type	Provider
facebook	Is used to Enable ad delivery or retargeting	90 days	HTTP	Meta
__fb_chat_plugin	Is needed to store and track interactions (marketing/tracking).	persistent	HTTP	Meta
_js_datr	Is needed to save user settings.	2 years	HTTP	Meta
_fbc	Is needed to save the last visit (marketing/tracking).	2 years	HTTP	Meta
fbm	Is needed to store account data (marketing/tracking).	1 year	HTTP	Meta
xs	Is needed to store a unique session ID (marketing/tracking).	1 year	HTTP	Meta
wd	Is needed to log the screen resolution.	1 week	HTTP	Meta
fr	Is needed to serve ads and measure and improve their relevance.	3 months	HTTP	Meta
act	Is needed to store logged in users (marketing/tracking).	90 days	HTTP	Meta
_fbp	Is needed to store and track visits to various websites (marketing/tracking).	3 months	HTTP	Meta
datr	Is needed to identify the browser for security and website integrity purposes, including account recovery and identification of potentially compromised accounts.	2 years	HTTP	Meta
dpr	Is used for analysis purposes. Technical parameters are logged (e.g. aspect ratio and dimensions of the screen) so that Facebook apps can be displayed correctly.	1 week	HTTP	Meta
sb	Is needed to store browser details and security information of the Facebook account.	2 years	HTTP	Meta
dbln	Is needed to store browser details and security information of the Facebook account.	2 years	HTTP	Meta
spin	Is needed for promotional purposes and social campaign reporting.	session	HTTP	Meta
presence	Contains the "chat" status of logged in users.	1 month	HTTP	Meta
cppo	Is needed for statistical purposes.	90 days	HTTP	Meta
locale	Is needed to save the language settings.	session	HTTP	Meta
pl	Required for Facebook Pixel.	2 years	HTTP	Meta
lu	Required for Facebook Pixel.	2 years	HTTP	Meta
c_user	Required for Facebook Pixel.	3 months	HTTP	Meta
bcookie	Is needed to store browser data (marketing/tracking).	2 years	HTTP	LinkedIn
li_oatml	Is needed to identify LinkedIn members outside of LinkedIn for advertising and analytics purposes.	1 month	HTTP	LinkedIn
BizographicsOptOut	Is needed to save privacy settings.	10 years	HTTP	LinkedIn
li_sugr	Is needed to store browser data (marketing/tracking).	3 months	HTTP	LinkedIn
UserMatchHistory	Is needed to provide advertising or retargeting (marketing/tracking).	30 days	HTTP	LinkedIn
linkedin_oauth_	Is needed to provide cross-page functionality.	session	HTTP	LinkedIn
lidc	Is needed to store performed actions on the website (marketing/tracking).	1 day	HTTP	LinkedIn
bscookie	Is needed to store performed actions on the website (marketing/tracking).	2 years	HTTP	LinkedIn
X-LI-IDC	Is needed to provide cross-page functionality (marketing/tracking).	session	HTTP	LinkedIn
AnalyticsSyncHistory	Stores the time when the user was synchronized with the "lms_analytics" cookie.	30 days	HTTP	LinkedIn
lms_ads	Is needed to identify LinkedIn members outside of LinkedIn.	30 days	HTTP	LinkedIn
lms_analytics	Is needed to identify LinkedIn members for analytics purposes.	30 days	HTTP	LinkedIn
li_fat_id	Required for indirect member identification used for conversion tracking, retargeting and analytics.	30 days	HTTP	LinkedIn
U	Is needed to identify the browser.	3 months	HTTP	LinkedIn
_guid	Is needed to identify a LinkedIn member for advertising via Google Ads.	90 days	HTTP	LinkedIn

Research and Industry-funded projects of Research Unit Production and Maintenance Management.

Research & Industry Projects

Ongoing projects:

Finished projects:

PdM@Pharma (Industry)

RheinPlan (Industry)

digiTeachVR (TU Wien)

WetProRail (Industry)

CompetenSEE (EIT Manufacturing)

DigiTS-ME (OeAD)

TU-Mars (TU Wien)

PATHFINDER (EIT Manufacturing)

ConnectSEE (EIT Manufacturing)

Learn4SMEs (EIT Manufacturing)

DigiOrder (Industry)

digiLab IDS (TU Wien)

PRESIDE (WWTF)

RoboNuggets (EIT Manufacturing)

UN.I.CO (EIT Manufacturing)

DigiMain 4.0 (EIT Manufacturing)

Digital Shift Book 4.0 (Industry)

InComSMEs (EU)

Maintenance 4.0 (FFG)

Student research projects, Bachelor, Master or Diploma theses