Decision Making in Construction Projects
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Practice in Engineering".
Deadline for manuscript submissions: closed (1 February 2022) | Viewed by 17768
Special Issue Editors
Interests: implementation of building information modeling in construction and maintenance of infrastructure; resilience of infrastructure systems; risk analysis and decision-making theory; infrastructure investments and development; cost and schedule management in civil engineering works; project management; construction management
Interests: various topics of structural engineering aiming at the exploitation of innovative computing systems and numerical methods for the analysis and design of structures under static or dynamic/seismic loading
Special Issue Information
Dear Colleagues,
A long-standing ascertainment in the construction industry is that a large number of projects do not achieve their objectives and goals. Complexity in delivering, in combination with the large number of stakeholders that pursue their own—often competing—interests, along with the pressures of a highly competitive economic environment constitute a framework where efficient decision-making becomes essential for success.
Effective decision-making in construction projects is crucial both at the macro- and at the microlevel, i.e., both concerning feasibility, choice, planning, selecting the construction method, financing of the project prior to construction initiation, and managing resources, performance, supply chain, etc. during the project’s development. Decision-making also entails managing a large number of varied risks, which are always present regardless of the stage or level of the project’s development.
Recent technological developments and theoretical advancements have enriched the already extended array of methods, tools, and techniques for supporting or conducting decision-making. The evolution and gradual application of novel theoretical frameworks (e.g., lean construction), construction methods (e.g., 3D printing), digitalization (e.g., digital twins), and equipment (e.g., IoT) have qualitatively and quantitatively modified both the data and the information background and the available alternatives in the decision-making process. Therefore, traditional optimization and multicriteria methods, established techniques, and graphical and software tools have accordingly evolved, while new ones have been developed from scratch to correspond to the current reality.
This Special Issue aims at presenting recent developments at all stages and in all aspects of the decision-making process for construction projects, both at the theoretical and practical levels. These aspects include—but are not limited to—the following issues, which are most welcome in this Special Issue:
- Construction methods: Selection and application;
- Technological advances in data collection and processing in construction;
- Structural health monitoring;
- Probabilistic and optimization methods in construction;
- Multicriteria methods, tools, and techniques for decision-making in construction;
- Building information modeling applications for risk management and decision-making;
- Schedule, cost, performance, supply chain, and health and safety decisions in construction projects;
- Risk management;
- Decision-making within agile and lean construction frameworks;
- Procurement and legal framework for construction projects;
- Skills and leadership of decision-makers in construction projects.
Dr. Yiannis Xenidis
Dr. Dimos Charmpis
Guest Editors
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Keywords
- decision theory
- decision-making
- construction
- construction methods
- data analytics
- risk management
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