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Buildings
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Construction Project Portfolio Management in Digital Era
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Construction Project Portfolio Management in Digital Era

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 2290

Special Issue Editors

Prof. Dr. Libiao Bai

E-Mail Website
Guest Editor
School of Economics and Management, Chang'an University, Xi’an 710064, China
Interests: construction management; project portfolio management; modern construction project management; digitization and portfolio management practices
Yichen Sun

E-Mail Website
Guest Editor Assistant
Department of Management, Economics and Industrial Engineering, Politecnico di Milano, 20156 Milan, Italy
Interests: project portfolios management; project procurement management; project risk management; supply chain management

Special Issue Information

Dear Colleagues,

When grappling the with increasing scale of construction projects and the concurrent execution of multiple projects, organizations have begun to embrace construction project portfolio (CPP) management as a prevalent management mode with which to achieve strategic objectives. As the global society undergoes an accelerated transition into the digital era, the adoption of the new generation of digital tools has become an indispensable trend, driving innovation and transformation across the construction industry. In this context, integrating rapidly evolving digital tools is an inevitable way for the CPP to achieve innovative management practices and foster leapfrog development.

This Special Issue aims to utilize the various tools of the digital age to address various management challenges encountered during CPP implementation. Topics of interest include:

  1. Digital decision support systems for CPP selection;
  2. Digital application in risk identification and quantification of CPP;
  3. AI-driven risk detection and mitigation models for CPP;
  4. Construction engineering and project portfolio selection;
  5. Intelligent benefit and value management in CPP;
  6. Big data analysis system for CPP performance prediction;
  7. Intelligent decision support systems that align the CPP with organizational objectives;
  8. Emerging trends and future outlook for digital CPP management.

Prof. Dr. Libiao Bai
Guest Editor

Yichen Sun
Guest Editor Assistant

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. Buildings is an international peer-reviewed open access monthly 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 2600 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

  • construction project portfolio
  • digital era
  • innovative management
  • project portfolio selection
  • risk management
  • benefit and value management
  • performance prediction
  • artificial intelligence
  • big data
  • digital decision

Published Papers (2 papers)

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Research

19 pages, 1200 KiB  
Article
Study on Resilience Factors and Enhancement Strategies in Prefabricated Building Supply Chains
by Shengdong Cheng, Xin Zhou, Yuhang Zhang, Mengna Duan and Juncheng Gao
Buildings 2024, 14(1), 195; https://doi.org/10.3390/buildings14010195 - 12 Jan 2024
Cited by 2 | Viewed by 1209
Abstract
Prefabricated building holds promise for quality, efficiency, and sustainability when compared to traditional techniques. However, realizing prefabricated building work hinges on strengthening supply chain resilience. This research assesses interdependent risks undermining prefab network continuity during disruption. Questionnaire data from industry experts informed a [...] Read more.
Prefabricated building holds promise for quality, efficiency, and sustainability when compared to traditional techniques. However, realizing prefabricated building work hinges on strengthening supply chain resilience. This research assesses interdependent risks undermining prefab network continuity during disruption. Questionnaire data from industry experts informed a structural equation model quantifying pathways between component production, construction, information, and other uncertainties. Findings confirm that project delays can be traced to manufacturing and on-site risks, with information gaps broadly propagating impacts. Meanwhile, organizational risks have an insignificant influence, suggesting partnership networks readily reconfigure around operational contingencies. Robust information infrastructures and coordination, therefore, offer crucial leverage. Accordingly, a multidimensional resilience enhancement strategy is formulated, prioritizing supply chain transparency, digital integration, inventory buffering, contingencies planning, and transportation flexibility. Our mixed-methods approach advances the construction literature by demonstrating the applicability of structural equation modeling for diagnostic resilience analytics. Industry leaders also gain actionable, evidence-based guidance on strategic investments to stabilize project flows. This dual theoretical and practical contribution underscores the versatility of tailored statistical assessments in furthering construction innovation objectives within complex, uncertain environments. Full article
(This article belongs to the Special Issue Construction Project Portfolio Management in Digital Era)
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32 pages, 3634 KiB  
Article
Service Provider Portfolio Selection across the Project Life Cycle Considering Synergy Effect
by Yipei Zhang, Kanyin Zheng, Yuqin An and Libiao Bai
Buildings 2023, 13(10), 2550; https://doi.org/10.3390/buildings13102550 - 9 Oct 2023
Cited by 1 | Viewed by 698
Abstract
During the project life cycle, selecting the appropriate service provider portfolio (SPP) is essential to guaranteeing the successful implementation of manufacturing tasks. However, the existence of the synergy effect among service providers poses a challenge for decision makers in selecting the most suitable [...] Read more.
During the project life cycle, selecting the appropriate service provider portfolio (SPP) is essential to guaranteeing the successful implementation of manufacturing tasks. However, the existence of the synergy effect among service providers poses a challenge for decision makers in selecting the most suitable SPP. To effectively address this challenge, this study constructs a novel service provider portfolio selection (SPPS) model across the project life cycle, considering the synergy effect. The model is based on the integration of a radial basis function neural network (RBFNN), the technique for order preference by similarity to ideal solution (TOPSIS), and the entropy method (EM). First, the evaluation criteria for service provider selection are defined, followed by the identification of alternative service providers and feasible SPPs based on project life cycle division. Subsequently, a quantitative analysis of the synergy effect among service providers within the same stage, as well as between different stages, throughout the project life cycle, is carried out. This analysis helps to determine the input variables and expected output variables that will be utilized in the model. Additionally, the feasibility and applicability of the proposed model are illustrated through an example. Finally, a comparison between the proposed hybrid model and the BPNN is conducted to validate the model’s accuracy and efficiency. This study contributes to making sound decisions in the SPPS process from a project life cycle perspective. Full article
(This article belongs to the Special Issue Construction Project Portfolio Management in Digital Era)
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