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Architect's Lens/Industry Trends

The Future of Integrated Project Delivery (IPD) and Emerging Trends in Construction Project Delivery

by ALens 2023. 3. 9.
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The Future of Integrated Project Delivery (IPD) and Emerging Trends in Construction Project Delivery

 

Introduction

Integrated Project Delivery (IPD) is a collaborative approach to construction project delivery that seeks to bring all stakeholders together from the project's conception to its completion. IPD has been gaining increasing popularity in recent years due to the many benefits it offers, including improved project outcomes, reduced project risk, and enhanced collaboration and cooperation among stakeholders.

However, the construction industry is constantly evolving, and IPD is no exception. With the advent of new technologies, shifting project demands, and changes in the way construction projects are managed, the future of IPD is of particular interest to those who work in the industry. In this article, we will explore some of the emerging trends in IPD and what they mean for the future of construction project delivery.

 

The Use of Building Information Modeling (BIM)

Building Information Modeling (BIM) is one of the key technological advancements that has had a significant impact on the construction industry, and it is expected to play an even greater role in the future of IPD. BIM is a digital representation of a building's physical and functional characteristics that allows for better collaboration and coordination among stakeholders.

With BIM, stakeholders can access, manage, and share project information in real-time, which helps to improve project efficiency and reduce the risk of errors and misunderstandings. BIM also provides a platform for virtual prototyping and simulation, which enables stakeholders to test and refine design concepts before construction begins.

The Emergence of Collaborative Contracting Models

In recent years, there has been a growing trend towards collaborative contracting models that promote greater cooperation and collaboration among stakeholders. These models are based on the principles of IPD, and they are designed to reduce conflict, encourage teamwork, and promote open communication.

One example of a collaborative contracting model is the Construction Manager at Risk (CMR) model. In this model, the construction manager is brought on board early in the project to provide input on design and budgeting, and to help coordinate the efforts of the other stakeholders. This leads to better collaboration and improved project outcomes.

Another example is the Design-Build-Operate (DBO) model, where a single entity is responsible for both the design and construction of a project. This model encourages close collaboration between the design and construction teams, leading to better coordination and more efficient use of resources.

 

The Adoption of Agile Project Management Methods

Agile project management is a flexible approach to project management that emphasizes continuous improvement, collaboration, and responsiveness to change. It is an increasingly popular method for managing construction projects, and it is expected to play a greater role in the future of IPD.

Agile project management helps to promote teamwork, encourage continuous feedback and collaboration, and ensure that projects remain on track even in the face of change. By adopting agile methods, project teams can more effectively respond to the challenges and uncertainties that are inherent in construction projects, and they can achieve better project outcomes as a result.

 

The Use of Predictive Analytics

Predictive analytics is a branch of data analytics that uses historical data and machine learning algorithms to make predictions about future events. Predictive analytics is expected to play an increasingly important role in the future of IPD, as it can help project teams to identify and address potential problems before they arise.

For example, predictive analytics can be used to identify potential schedule delays, to predict the likelihood of construction claims, and to identify areas of the project that are at risk of going over budget. By using predictive analytics, project teams can take proactive measures to address these risks and to improve project outcomes.

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