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The crane plays an essential role in modern construction sites as it supports numerous operations and activities on-site. Additionally, the crane produces a big amount of data that, if analyzed, could significantly affect productivity, progress monitoring and decision-making in construction projects. This paper aims to show the usability of crane data in tracking the progress of activities on-site.

This paper presents a pattern-based recognition method to detect concrete pouring activities on any concrete-based construction sites. A case study is presented to assess the methodology with a real-life example.

The analysis of the data helped build a theoretical pattern for concrete pouring activities and detect the different phases and progress of these activities. Accordingly, the data become useable to track progress and identify problems in concrete pouring activities.

The paper presents an example for construction practitioners and researcher about a practical and easy way to analyze the big data that comes from cranes and how it is used in tracking projects' progress. The current study focuses only on concrete pouring activities; future studies can include other types of activities and can utilize the data with other building methods to improve construction productivity.

The proposed approach is supposed to be simultaneously efficient in terms of concrete pouring detection as well as cost-effective. Construction practitioners could track concrete activities using an already-embedded monitoring device.

While several studies in the literature targeted the optimization of crane operations and of mitigating hazards through automation and sensing, the opportunity of using cranes as progress trackers is yet to be fully exploited.

Compared to the manufacturing industry, Lean Six Sigma (LSS) lacks a clear methodology for its application in the tertiary service. One reason is the difficulties to assess information flow compared to physical flow. Indeed, the use of information flow as a process entry in the LSS method is not well investigated, mainly due to the difficulties in collecting adequate and sufficient data. The purpose of this research study is to investigate the application of LSS in the tertiary service, in particular, real estate development.

The paper is based on an action research methodology where LSS methodology is applied to solve client-dissatisfaction issue. One of its main causes is found to be the late delivery time. The work describes how the method was applied.

LSS is an adequate approach for making well-thought-out improvement in real estate development.

The work provides an implementation of LSS in real estate development. It also gives new insights into the LSS application in the tertiary service. The work also suggests practical recommendations and solutions to address the main challenges faced by real estate development.

Construction is governed by many processes that are difficult to identify and, even more, to assess. LSS helps identifying those which create real value for the client.

While many procurement systems govern the construction sector, Design/Bid/Build is still prominent among the French building actors. The research applies Lean thinking (via a kaizen event) to the bidding phase of a building construction company to improve its bidding outputs.

The method used in this study is “Action-Research”. A two-month preparation phase was needed to prepare for the kaizen event. The results were based on an assessment conducted after 6 months of the kaizen event. Performance was measured following selected indicators related to ‘Time’, “Economical Impact”, “Quality” and “Sustainability”.

The Lean implementation had positive side-effects on the company’s organization and strategy as well.

The findings of this action-research project can be used to help researchers and practitioners assess the potential application of Lean in the bidding phase. It also provides insights into the importance of the cultural and existing practices for a successful Lean implementation.

A few research projects investigated the application of Lean thinking in bidding as it is considered as a wasteful process. However, waste can also be organized. The research proves that bidding can benefit from Lean thinking.

This study aims to introduce and evaluate the COPULA framework, a construction project monitoring solution based on blockchain designed to address the inherent challenges of construction project monitoring and management. This research aims to enhance efficiency, transparency and trust within the dynamic and collaborative environment of the construction industry by leveraging the decentralized, secure and immutable nature of blockchain technology.

This paper employs a comprehensive approach encompassing the formulation of the COPULA model, the development of a digital solution using the ethereum blockchain and extensive testing to assess performance in terms of execution cost, time, integrity, immutability and security. A case analysis is conducted to demonstrate the practical application and benefits of blockchain technology in real-world construction project monitoring scenarios.

The findings reveal that the COPULA framework effectively addresses critical issues such as centralization, privacy and security vulnerabilities in construction project management. It facilitates seamless data exchange among stakeholders, ensuring real-time transparency and the creation of a tamper-proof communication channel. The framework demonstrates the potential to significantly enhance project efficiency and foster trust among all parties involved.

While the study provides promising insights into the application of blockchain technology in construction project monitoring, future research could explore the integration of COPULA with existing project management methodologies to broaden its applicability and impact. Further investigations into the solution’s scalability and adaptation to various construction project types and sizes are also suggested.

This research offers a comprehensive blockchain solution specifically tailored for the construction industry. Unlike prior studies focusing on theoretical aspects, this paper presents a practical, end-to-end solution encompassing model formulation, digital implementation, proof-of-concept testing and validation analysis. The COPULA framework marks a significant advancement in the digital transformation of construction project monitoring, providing a novel approach to overcoming longstanding industry challenges.