Dimitris Mourtzis

ORCID: 0000-0002-7923-7363
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About
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Research Areas
  • Digital Transformation in Industry
  • Manufacturing Process and Optimization
  • Flexible and Reconfigurable Manufacturing Systems
  • Product Development and Customization
  • Scheduling and Optimization Algorithms
  • Service and Product Innovation
  • Advanced Manufacturing and Logistics Optimization
  • Augmented Reality Applications
  • Assembly Line Balancing Optimization
  • IoT and Edge/Fog Computing
  • Additive Manufacturing and 3D Printing Technologies
  • Quality and Supply Management
  • Virtual Reality Applications and Impacts
  • Industrial Vision Systems and Defect Detection
  • Advanced machining processes and optimization
  • Blockchain Technology Applications and Security
  • Quality Function Deployment in Product Design
  • Innovation and Socioeconomic Development
  • Business Process Modeling and Analysis
  • Collaboration in agile enterprises
  • Big Data and Business Intelligence
  • Sustainable Supply Chain Management
  • Supply Chain Resilience and Risk Management
  • Smart Grid Energy Management
  • Economic and Technological Innovation

University of Patras
2015-2024

Laboratoire des Sciences du Numérique de Nantes
2018

Institute for Applied Systems Technology Bremen
2017

As the industrial requirements change at a rapid pace due to drastic evolution of technology, necessity quickly investigating potential system alternatives towards more efficient manufacturing design arises intensely than ever. Manufacturing systems simulation has proven be powerful tool for designing and evaluating its low cost, quick analysis, risk meaningful insight that it may provide, improving thus understanding influence each component. Simulation comprises an indispensable set IT...

10.1080/00207543.2019.1636321 article EN cc-by-nc-nd International Journal of Production Research 2019-07-04

The radical evolution of internet into a network interconnected objects that create smart environment is characterized by the term Internet Things (IoT). adoption IoT in manufacturing enables transition tradition systems modern digitalized ones, generating significant economic opportunities through industries re-shaping. Industrial empowers companies to adopt new data-driven strategies and handle global competitive pressure more easily. However, IoT, increases total volume generated data...

10.1016/j.procir.2016.07.038 article EN Procedia CIRP 2016-01-01

Simulation comprises an indispensable set of technological tools and methods for the successful implementation digital manufacturing, since it allows experimentation validation product, process system design configuration. Especially in todays' turbulent manufacturing environment, which is affected by megatrends such as globalisation ever-increasing requirements higher degree product customisation personalisation, value simulation evident. This keynote paper investigates major milestones...

10.1016/j.procir.2014.10.032 article EN Procedia CIRP 2014-01-01

Digital manufacturing has been considered, over the last decade, as a highly promising set of technologies for reducing product development times and cost well addressing need customization, increased quality, faster response to market. This paper describes evolution information technology systems in manufacturing, outlining their characteristics challenges be addressed future. Together with digital factory concepts, considered this include computer-aided design, engineering, process...

10.1243/09544054jem1241 article EN Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture 2009-05-01

Manufacturing, through the Industry 4.0 concept, is moving to next phase of digitalization. supported by innovative technologies such as Internet Things, Cloud technology, Augmented and Virtual Reality will also play an important role in manufacturing education, supporting advanced life-long training skilled workforce. Advanced called Education 4.0, networked ecosystems develop skills build competences for new era manufacturing. Towards that, this work present how adoption cyber-physical...

10.1016/j.promfg.2018.04.005 article EN Procedia Manufacturing 2018-01-01

Maintenance of manufactured products is among the most common services in industry and its cost often exceed 30% operating costs. Modern manufacturing companies are shifting their focus from to combined ecosystem Products- Service Systems (PSS). Towards that end, main objective this work develop a cloud-based service-oriented system implements AR technology for remote maintenance by enabling cooperation between on- spot technician manufacturer. The proposed includes methods record...

10.1016/j.procir.2017.03.154 article EN Procedia CIRP 2017-01-01

In the realm of current industrial revolution, interesting innovations as well new techniques are constantly being introduced by offering fertile ground for further investigation and improvement in engineering domain. More specifically, cutting-edge digital technologies field Extended Reality (XR) have become mainstream including Augmented (AR). Furthermore, Cloud Computing has enabled provision high-quality services, especially controversial maintenance. However, since modern machines...

10.3390/app10051855 article EN cc-by Applied Sciences 2020-03-08

Blockchain can be realized as a distributed and decentralized database, also known “distributed ledger,” that is shared among the nodes of computer network. form democratized database for storing information electronically in digital format. Under framework Industry 4.0, digitization digitalization manufacturing production systems networks have been focused, thus Big Data sets are necessity any activity. becoming useful resource well byproduct activities/processes taking place. However,...

10.3390/app13031353 article EN cc-by Applied Sciences 2023-01-19

1. MOURTZIS D., DOUKAS M., 2014, The Evolution of Manufacturing Systems: from Craftsmanship to the Era Customization, in Handbook Research on Design and Management Lean Production Systems, 1–29. IGI Global. Google Scholar

10.36897/jme/147160 article EN cc-by-nc Journal of Machine Engineering 2022-03-08

The blending of human and mechanical capabilities has become a reality in the realm Industry 4.0. Enterprises are encouraged to design frameworks capable harnessing power technological resources enhance era Artificial Intelligence (AI). Over past decade, AI technologies have transformed competitive landscape, particularly during pandemic. Consequently, job market, at an international level, is transforming towards integration suitably skilled people cutting edge technologies, emphasizing...

10.3390/fi15050162 article EN cc-by Future Internet 2023-04-27
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