Application of Artificial Intelligence (AI) and Digital Transformation (DT) to Sustainable Engineering Project Management
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Products and Services".
Deadline for manuscript submissions: closed (25 December 2024) | Viewed by 5007
Special Issue Editors
Interests: engineering project management (EPM); infrastructure and construction management; digital transformation; digital twin; building information modeling (BIM); advanced work packaging (AWP); artificial intelligence (AI) and smart-engineering; contract and risk management; engineering economics and project finance
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence (AI); big-data driven engineering machine learning applications (MLA); natural language processing (NLP); ChatGPT applications in engineering; EPC contracts and contract risk management; digital twin; BIM; advanced work package (AWP); smart construction and digitalization; engineering project management; engineering economics and project finance
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Digital technology is fundamentally transforming virtually every industry, and like many other fields, the engineering field has witnessed disruptive changes in recent years. Consequently, industrial plant engineering (such as power plants and petro-chemical plants) is rapidly undergoing technological innovations to keep pace with the fourth industrial revolution and leverage digital transformation for sustainable growth.
In line with the rapidly changing times, plant engineering projects are pursuing transformation via digital methods throughout their productive lifecycles to boost sustainability, including the planning, design, construction, and operation and maintenance stages, by integrating intelligent technologies via digital convergence.
Key technologies commonly mentioned in recent discourse in this field include artificial intelligence (AI), digital twins and digital transformation, robotics, the metaverse, drones, 3D printing, wearable and mobility technology, augmented reality (AR), virtual reality (VR), cloud-based collaboration tools, the integration of building information modelling (BIM) and geographic information system (GIS) data, etc.
The combination of these technologies is expected to enhance operational efficiency, reduce project costs, and improve safety, ultimately contributing to the sustainability of the plant engineering industries.
In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, the following subjects:
- Artificial intelligence (AI) and machine learning applications for sustainable engineering management;
- Automation in capital projects, with a particular focus on mega-infrastructure projects, onshore and offshore drilling, power plants, industrial plants, and other engineering procurement construction (EPC) projects;
- Digitalization in the engineering and construction industries for sustainable infrastructure development;
- Building information modeling (3D-4D-5D BIM) and their applications;
- Advanced work packaging (AWP) with BIM;
- BIM-based Maintenance Repair and Operation (MRO) systems;
- Digital Twin or Digital Transformation for industrial plants;
- Natural language processing (NLP) application and text mining in construction project documents, such as technical specifications and contracts;
- chatGPT Applications in the engineering and construction field;
- Cost engineering digitalization (estimating and control);
- Digital contract management (bidding and execution).
We look forward to receiving your contributions.
Prof. Dr. Eul-Bum Lee
Dr. So-Won Choi
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- digitization
- digital transformation
- digital twin
- BIM
- AWP
- MRO
- AI
- big data
- NLP
- machine learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
