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The focus of this work is on the client-designer interface where decisions have significant impact over the lifecycle of the project. Therefore, the briefing stage is examined in the context of clients’ needs which is divided into project-based strategy and broader clients’ strategy. The purpose of this paper is to address the pitfalls in the briefing process which has been attributed to the shortcomings in the client-designer communication interfaces. This will be achieved by developing an automated brief generation framework. The research examines the efficiency of standard approaches to modelling and design, and the benefits that these methodologies have offered to the computer industry. The work reviews the similarities between the two industries and argues in support of the potential benefits in adopting a standard methodology in the construction industry. The structure upon which the framework is developed is based on system analysis and design methodology (SSADM) which has proven to be an effective platform used within the software development industry.

SSADM is an established methodology within the software development industry. The paper will demonstrate that due to fundamental similarities between the construction and software development industries, SSADM is likely to offer a viable platform upon which an automated enhanced brief generation model is developed for use in the construction industry. The construction design and construction process will be mapped on SSADM high-level definition before focusing and honing on the design phase. The methodology for the development of the framework will be based on the rationalist approach of generating knowledge through reasoning leading to model-building.

A model that is based on SSADM is proposed for the design development phase of construction projects. In order to shape the project strategy, the model considers the combined role of clients’ requirements with organisation strategy and environmental factors. The paper has shown that it is feasible to increase the automation of the briefing process and enhanced the briefing output. The model here does not diminish the importance of direct communication between the client and the design team. It provides a more structured way of doing so, while taking advantage of vast array of data and technology in order to improve the brief outcome.

From practical perspective, the proposed framework is in its formative stage, thus requiring incremental refinement through several case studies. This is particularly true about the AI components of the system which typically rely on extensive data representing the real-case scenarios. Therefore, the work invites further research into the examination of various parts as well as the overall system.

There are several ways by which construction projects are procured. There may be fluctuation in their rate of usage, but while there is no indication of any procurement option fading, new ones such as PPP and PFI are periodically introduced. The existence of this diversity is indicative of the fact that the industry tends to respond to problems rather than attempting to instigate a measured solution supported by theoretical underpinning. Subsequently, there have been suggestions of a communication and information discourse between actors and within processes involved in project lifecycle. This project is aimed at addressing the gap in the client-designer communication. The automated approach to brief generation will lead to better briefs while reducing ambiguities as well as the overhead associated with brief generation.

The quality of project brief has a significant impact on decisions at the design stage. In turn, these decisions will influence all phases of construction project lifecycle. The briefing session and requirement analysis of a construction project can be very difficult for inexperienced clients particularly for complex projects. Therefore, there is potential for the process of client-requirement-analysis to be optimised. The work promises to improve the quality of the briefing process, thus helping clients to realise their intended objectives and minimise resource waste.

The work builds on the commonalities of the construction and software development industries and takes advantage of the advancements in the latter. In doing so, project quality is defined quantitatively which is used to develop project strategy in a three-dimensional space. The development of the model was also contingent upon enhancement of artificial neural network structure.

The risk factors associated with clients have a major impact on the successful delivery of a project from early design to the construction and operation stages. Risk management studies conducted so far have not succeeded in providing an effective risk assessment methodology for clients in analysing and managing the risk factors that cause both project delays and cost overruns. So, the purpose of this paper is to provide a methodology for a client-based risk management model.

A conceptual framework is designed by integrating the findings from a literature review and a construction industry survey in the Kingdom of Saudi Arabia. The framework includes the risk identification, risk analysis and mitigation strategy, which are the key components of the model. The model of the framework is developed by integrating the analytical hierarchy process (AHP) and Monte Carlo simulation (MCS) underpinned within an @Risk program.

A case study is used to demonstrate the proposed methodology; the results found that the model helps to analyse and quantify the impact of risk factors, and also to assist in taking a suitable risk mitigation strategy, particularly at the early design stage in the construction process.

The model is applicable to both public and private clients when they need to know the possible project duration in a new construction project, and to take some proactive actions to avoid the adverse effect of client risk factors at the early stage of the project.

The model is expected to help in understanding the nature, and analysing the influence, of client risk factors that cause project delays and cost overruns. The development of the methodology for managing the client-based risk in construction processes at the early design stage is the key value of the study.

The growth of Indian economy has brought with it significant increase in construction activities. These increased construction activities have further highlighted the problem of waste generation on construction sites. The purpose of this paper is to provide important insights and highlight some issues related to the implementation of effective waste management practices on construction sites in India.

This paper presents two cases and results from semi‐structured interviews which shed light on some of the major issues, challenges and drivers associated with the implementation of waste management in construction in India.

One of the key findings was that client preference and enforcement of existing laws could actually facilitate the implementation of waste minimisation effectively. Some of the practices being followed, and which are gaining more popularity, are waste quantification, waste segregation, and the implementation of 3Rs (reduce, recycle, and reuse). Congested construction sites, sites in heavily built‐up areas with no ability to have an alternate storage or staging location for materials, lack of ownership of waste due to the presence of multiple contractors on the construction site and lack of awareness and education among the construction workforce were regarded as major challenges associated with the implementation of waste minimisation practices in India.

The cases and the interviewees chosen were through the authors' links with the Indian Green Building Council (IGBC). The cases were LEED registered projects therefore issues dealing with green construction had been taken into account. These cases might not be representative of the entire country, as there are significantly high proportions of construction projects that are not as green, especially in smaller cities in India. However, the two cases do provide important insights and highlight some issues related to the implementation of effective waste management practices on construction sites in India. The individuals interviewed also had link with IGBC. They had been involved with the green building movement in India for a significant length of time. But the length and breadth of their experience gave them the ability to comment on state of the construction sector and its green as well as non‐green practices associated with waste management.

This paper presents an exploratory study which assesses the implementation of waste management practices in the Indian construction industry. It also highlights activities within different stages of a construction project that can lead to more effective waste management in the construction sector.

This paper reviews the normative literature of performance measurement within the context of Public-Private Partnerships (PPPs). The purpose of this paper is to examine the effectiveness of current ex post evaluations of PPPs and identify a feasible direction to comprehensively and effectively measure the performance of PPP infrastructure projects.

An in-depth literature review is conducted in this paper. The focus of the review is associated with the general performance measurement and performance measurements of PPPs.

This paper identifies that conventional ex post evaluation is not robust enough to measure the performance of PPP projects. Based on the characteristics of PPPs, the life-cycle (process-based) evaluation under performance measurement system is a promising approach to comprehensive and effective PPP performance measurement.

The outcomes of this paper can be used as a theoretical base for the development of PPP performance measurement framework.

Performance measurement is essential to business success, whether it is at the organisation or project level. Limitations on public funds have encouraged more and more governments across the world to use PPPs to procure economic and social infrastructure projects. Similar to traditional procurement, ex post evaluation is being widely used in PPP projects. However, PPPs are more complicated than other traditional procurement approaches. Exploration of literature suggests that limited research has been undertaken to examine if conventional ex post evaluation is sufficient to measure the performance of PPPs. This paper will bridge this significant knowledge gap.

The purpose of this paper is to present a framework for integrating construction supply chain in order to resolve the data heterogeneity and data sharing problems in the construction industry.

Standardized web service technology is used in the proposed framework for data specification, transfer, and integration. Open standard SAWSDL is used to annotate web service descriptions with pointers to concepts defined in ontologies. NoSQL database Cassandra is used for distributed data storage among construction supply chain stakeholders.

Ontology can be used to support heterogeneous data transfer and integration through web services. Distributed data storage facilitates data sharing and enhances data control.

This paper presents examples of two ontologies for expressing construction supply chain information – ontology for material and ontology for purchase order. An example scenario is presented to demonstrate the proposed web service framework for material procurement process involving three parties, namely, project manager, contractor, and material supplier.

The use of web services is not new to construction supply chains (CSCs). However, it still faces problems in channelizing information along CSCs due to data heterogeneity. Trust issue is also a barrier to information sharing for integrating supply chains in a centralized collaboration system. In this paper, the authors present a web service framework, which facilitates storage and sharing of information on a distributed manner mediated through ontology-based web services. Security is enhanced with access control. A data model for the distributed databases is also presented for data storage and retrieval.

Traditional construction planning relies upon the critical path method and bar charts. Both of these methods suffer from visualization and timing issues that could be addressed by 4D technology specifically geared to meet the needs of the construction industry. The purpose of this paper is to propose a new construction planning approach based on simulation by using a game engine.

A 4D automatic simulation tool was developed and a case study was carried out. The proposed tool was used to simulate and optimize the plans for the installation of a temporary platform for piling in a civil construction project in Hong Kong. The tool simulated the result of the construction process with three variables: equipment, site layout and schedule. Through this, the construction team was able to repeatedly simulate a range of options.

The results indicate that the proposed approach can provide a user-friendly 4D simulation platform for the construction industry. The simulation can also identify the solution being sought by the construction team. The paper also identifies directions for further development of the 4D technology as an aid in construction planning and decision making.

The tests on the tool are limited to a single case study and further research is needed to test the use of game engines for construction planning in different construction projects to verify its effectiveness. Future research could also explore the use of alternative game engines and compare their performance and results.

The authors proposed the use of game engine to simulate the construction process based on resources, working space and construction schedule. The developed tool can be used by end-users without simulation experience.

In spite of the benefits of virtual models in the building and construction industry, the full potential of these models, especially in the construction and operation phases, remains largely unrealized. With the increasing developments in information and communication technology, a number of attempts have been made to extend the use of these models, through the development of integration approaches and technologies. However, the issue of integrating the virtual model and the physical construction such as to enable bi-directional coordination, has not been adequately addressed. Thus, the purpose of this paper is to investigate the application of a cyber-physical systems (CPS) approach in enhancing bi-directional coordination between virtual models and the physical construction.

This research employs scenario development rapid prototyping to illustrate CPS integration in the construction industry, with a particular focus on facilitating bi-directional coordination. The proof-of-concept prototype systems developed were validated using a focus group consisting of industry practitioners.

Bi-directional coordination between virtual models and the physical construction has the potential to improve real-time progress monitoring and control of the construction process, tracking of changes and model updates, information exchange between the design office and the job site, real-time documentation of the as-built status of high-value components and improved sustainability practices.

This paper adds value to the construction industry by demonstrating the application of the CPS approach in enhancing bi-directional coordination between virtual models and the physical construction through the development of system architectures, scenarios and prototype systems.

The purpose of this paper is to study the implementation of machine learning (ML) techniques in order to automatically measure the feasibility of performing ready mixed concrete (RMC) dispatching jobs.

Six ML techniques were selected and tested on data that was extracted from a developed simulation model and answered by a human expert.

The results show that the performance of most of selected algorithms were the same and achieved an accuracy of around 80 per cent in terms of accuracy for the examined cases.

This approach can be applied in practice to match experts’ decisions.

In this paper the feasibility of handling complex concrete delivery problems by ML techniques is studied. Currently, most of the concrete mixing process is done by machines. However, RMC dispatching still relies on human resources to complete many tasks. In this paper the authors are addressing to reconstruct experts’ decisions as only practical solution.