Construction Field Management Using a Popular Text Messenger

Lee, Ghang; Cho, Jehyun; Song, Taeseok; Roh, Hyunsung; Jung, Jeaeun; Jihoon, Chung; Yong, Gunwoo; Jeong, H. David

doi:10.1007/978-3-030-51295-8_67

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…Many digital tools already exist to support construction documentation, final acceptance, and issue management. Meanwhile, model-based reporting is already provided by several tools, which are often referred to as field BIM tools [57]. Thus, the concept of BIMcontracts takes into account such modelbased reporting and the use of current tools based on open standards.…”

Section: Smart Contract In the Execution Phasementioning

confidence: 99%

Automated Payment and Contract Management in the Construction Industry by Integrating Building Information Modeling and Blockchain-Based Smart Contracts

Sigalov

König

et al. 2021

Applied Sciences

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Construction projects usually involve signing various contracts with specific billing procedures. In practice, dealing with complex contract structures causes significant problems, especially with regard to timely payment and guaranteed cash flow. Furthermore, a lack of transparency leads to a loss of trust. As a result, late or non-payment is a common problem in the construction industry. This paper presents the concept of implementing smart contracts for automated, transparent, and traceable payment processing for construction projects. Automated billing is achieved by combining Building Information Modeling (BIM) approaches with blockchain-based smart contracts. Thereby, parts of traditional construction contracts are transferred to a smart contract. The smart contract is set up using digital BIM-based tender documents and contains all of the relevant data for financial transactions. Once the contracted construction work has been accepted by the client, payments can be made automatically via authorized financial institutions. This paper describes the framework, referred to as BIMcontracts, the container-based data exchange, and the digital contract management workflow. It discusses the industry-specific requirements for blockchain and data storage and explains which technical and software architectural decisions were made. A case study is used to demonstrate the current implementation of the concept.

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Section: Smart Contract In the Execution Phasementioning

confidence: 99%

Automated Payment and Contract Management in the Construction Industry by Integrating Building Information Modeling and Blockchain-Based Smart Contracts

Sigalov

König

et al. 2021

Applied Sciences

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“…Construction reports, therefore, are often required by clients as a means of monitoring project progress, estimating production rates, and resolving disputes and claims [6]. Project reporting involves the collection and structuring of large volumes of site data from nu-merous field management activities by many site personnel on a frequent-even dailybasis [16,17]. Given the amount of preparation work required together with the frequency of submittals, reporting has become a time-and effort-intensive procedure that can result in notable increases in overhead costs of the project.…”

Section: Research Background 21 Construction Reportingmentioning

confidence: 99%

“…Various construction field management tools have been developed to establish project reporting systems tailored to the needs of contractors, while ensuring the reporting requirements of projects are met [2,6,16]. For example, Russell [18] developed a daily construction project management system that rapidly reports and shares site information and project progress status between project participants.…”

Section: Research Background 21 Construction Reportingmentioning

confidence: 99%

“…Their goal was to integrate automated data acquisition technologies to collect required data for progress measurement purposes to support efficient time-cost tracking and control of construction projects [3]. Following the same line of work, Lee et al [16] proposed an approach to automatically generate daily reports from text messages exchanged through a commonly used text messaging system.…”

Section: Research Background 21 Construction Reportingmentioning

confidence: 99%

See 1 more Smart Citation

Automated Extraction and Time-Cost Prediction of Contractual Reporting Requirements in Construction Using Natural Language Processing and Simulation

et al. 2021

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Due to a lack of suitable methods, extraction of reporting requirements from lengthy construction contracts is often completed manually. Because of this, the time and costs associated with completing reporting requirements are often informally approximated, resulting in underestimations. Without a clear understanding of requirements, contractors are prevented from implementing improvements to reporting workflows prior to project execution. This study developed an automated reporting requirement identification and time–cost prediction framework to overcome this challenge. Reporting requirements are extracted using Natural Language Processing (NLP) and Machine Learning (ML), and stochastic simulations are used to predict overhead costs and durations associated with report preparation. Functionality and validity of the framework were demonstrated using real contracts, and an accuracy of over 95% was observed. This framework provides a tool to rapidly and efficiently retrieve requirements and quantify the time and costs associated with reporting, in turn providing necessary insights to streamline reporting workflows.

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A Framework for Enhancing Contract-Related Documentation in Construction

Jafari¹

2021

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Construction Field Management Using a Popular Text Messenger

Cited by 3 publications

References 13 publications

Automated Payment and Contract Management in the Construction Industry by Integrating Building Information Modeling and Blockchain-Based Smart Contracts

Automated Payment and Contract Management in the Construction Industry by Integrating Building Information Modeling and Blockchain-Based Smart Contracts

Automated Extraction and Time-Cost Prediction of Contractual Reporting Requirements in Construction Using Natural Language Processing and Simulation

A Framework for Enhancing Contract-Related Documentation in Construction

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