applsci-logo

Journal Browser

Journal Browser

Advancing Construction Challenges

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: 20 October 2026 | Viewed by 631

Special Issue Editors


E-Mail Website
Guest Editor
Faculty of Architecture, Building and Planning, The University of Melbourne, Melbourne, VIC 3010, Australia
Interests: knowledge management; risk management; procurement management in the architecture; engineering and construction (AEC) industry
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Infrastructure Engineering, University of Melbourne, Melbourne, VIC 3010, Australia
Interests: high-strength concrete; safer and sustainable infrastructure; prefabricated construction; tall buildings; advanced construction materials
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Modern Methods of Construction (MMC) have been widely discussed in recent years, as the construction industry faces unprecedented challenges. These include a shortage of skilled labour, rising costs, embodied energy, the need for sustainable practices, and the impacts of climate change. Furthermore, the diversity of regulations and requirements across different regions, combined with increasing globalisation, has introduced additional complexities for designers and construction companies. At the same time, the growing use of digital tools and the transformative potential of artificial intelligence (AI) are reshaping how construction knowledge is managed and applied.

Potential topics include, but are not limited to, the following:

  • Managing construction knowledge in the era of AI;
  • Improving labour productivity in response to construction challenges;
  • Innovations in new materials, sustainability, and the circular economy;
  • Advancements in construction equipment and digital monitoring for improved logistics;
  • Innovative solutions to minimise demolition and waste;
  • Addressing emerging risks in construction through new approaches.

We look forward to your contributions to this pioneering discussion on advancing construction challenges and shaping the future of the industry.

Dr. Paulo Vaz-Serra
Prof. Dr. Priyan Mendis
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 250 words) can be sent to the Editorial Office for assessment.

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. Applied Sciences 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

  • advancing construction challenges
  • knowledge management in the AI era
  • construction productivity
  • emerging risks
  • sustainable materials
  • waste reduction

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.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

28 pages, 1105 KB  
Article
Optimizing Schedule Duration of Repetitive Construction Considering Reducing Overtime Hours
by Ayman A. Altuwaim, Khalid Al-Gahtani, Naif Alsanabani and Abdulrahman Bin Mahmoud
Appl. Sci. 2026, 16(9), 4296; https://doi.org/10.3390/app16094296 - 28 Apr 2026
Viewed by 185
Abstract
The acceleration method has been significant in past studies that sought to reduce overtime in repetitive projects. The purpose of this paper is to present a novel optimization model that minimizes total overtime hours while achieving a specified project deadline for repetitive construction [...] Read more.
The acceleration method has been significant in past studies that sought to reduce overtime in repetitive projects. The purpose of this paper is to present a novel optimization model that minimizes total overtime hours while achieving a specified project deadline for repetitive construction projects. To achieve this objective, the study develops a dual-model algorithm. The proposed method offers unique capabilities for identifying an optimal/near-optimal schedule that minimizes overtime utilization while meeting the project deadline. The method computations are organized into two main models: (1) an optimization model that searches for and identifies an optimal schedule that minimizes the overtime hours and (2) a scheduling mdoel that presents novel algorithms to determine the project duration and start and finish times of each repetitive unit while providing the flexibility of (a) utilizing multiple crews to perform the work in an activity, (b) considering any feasible crew assignment strategy, (c) utilizing unique crew assignment strategy for each activity, and (d) complying with crew work continuity constraint. To demonstrate the application and effectiveness of the proposed method, a case study is presented to illustrate the study concept, method, and computations, and to highlight the method’s novel capabilities by comparing its results with previous algorithms in the literature. The main findings reveal that the proposed method reduces overtime utilization by at least 86.4% compared with previous models. The results demonstrate the algorithm’s effectiveness in optimizing repetitive projects and achieving stakeholder satisfaction, instilling confidence in the proposed methodology’s potential to improve project outcomes. Full article
(This article belongs to the Special Issue Advancing Construction Challenges)
Show Figures

Figure 1

Back to TopTop