4.7 Article

Requirements for building information modeling based lean production management systems for construction

Journal

AUTOMATION IN CONSTRUCTION
Volume 19, Issue 5, Pages 641-655

Publisher

ELSEVIER
DOI: 10.1016/j.autcon.2010.02.010

Keywords

Building information modeling; Lean construction; Process visualization; Production control; KanBIM

Funding

  1. Innovative Construction Research Centre at the University of Reading, UK
  2. Tekla Oy, Espoo, Finland

Ask authors/readers for more resources

Smooth flow of production in construction is hampered by disparity between individual trade teams' goals and the goals of stable production flow for the project as a whole. This is exacerbated by the difficulty of visualizing the flow of work in a construction project. While the addresses some of the issues in Building information modeling provides a powerful platform for visualizing work flow in control systems that also enable pull flow and deeper collaboration between teams on and off site. The requirements for implementation of a BIM-enabled pull flow construction management software system based on the Last Planner System, called 'KanBIM', have been specified, and a set of functional mock-ups of the proposed system has been implemented and evaluated in a series of three focus group workshops. The requirements cover the areas of maintenance of work flow stability, enabling negotiation and commitment between teams, lean production planning with sophisticated pull flow control, and effective communication and visualization of flow. The evaluation results show that the system holds the potential to improve work flow and reduce waste by providing both process and product visualization at the work face. (C) 2010 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Automation & Control Systems

An Automated System for Projection of Interior Construction Layouts

Amir Degani, Wen Bo Li, Rafael Sacks, Ling Ma

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2019)

Article Construction & Building Technology

Agent-Based Simulation of General Contractor-Subcontractor Interactions in a Multiproject Environment

Samuel Korb, Rafael Sacks

Summary: The behavioral dynamics of general contractors and subcontractors impact construction projects, while market dynamics moderate outcomes. LeapconX is a marketwide simulation system that enables testing of production system innovations on companies within a market.

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2021)

Article Engineering, Industrial

Quantitative assessment of the impacts of BIM and lean on process and operations flow in construction projects

Musab Jamal Maraqa, Rafael Sacks, Sabrina Spatari

Summary: The study found that implementing BIM in the big room and applying the last planner system and other lean construction techniques increased the CFI from 4.31 to 8.12 (on a 10-point scale). Avoiding trades crossing one another's paths between tasks was the most significant aspect of improved flow. Additionally, the benefits of implementing lean practices with BIM or VDC were found to be measurably greater than when these approaches were implemented separately.

ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT (2021)

Article Business

Work structuring and product design for customized repetitive projects

Cecilia Gravina da Rocha, Samuel Korb, Rafael Sacks

Summary: Ballard's concept of work structuring can improve production flow in construction projects with extensive customization. The Fit-Out Company and Ecosystem Platform systems show the most effective flow, leading to the proposition of a hybrid production system for future study.

CONSTRUCTION MANAGEMENT AND ECONOMICS (2022)

Article Construction & Building Technology

Production Control in Earthworks: Concepts and Metrics

Eran Haronian, Rafael Sacks

Summary: This research explores the production flow in earthworks construction projects from a lean construction theoretical perspective, proposing a novel view of production flow and validating the model through assessment procedures. The new approach applies measurements of throughput, cycle time, work in progress, and waste to enhance decision-making in managing the execution of earthworks.

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2021)

Article Construction & Building Technology

Effects of nitinol on the ductile performance of ultra high ductility fibre reinforced cementitious composite

Ayim-Mensah Gideon, Radosavljevic Milan

Summary: Nitinol fibres and nitinol powder exhibit different effects in cementitious composites, with the powder accelerating cement hydration and promoting strength, while the fibres increase flexural and compressive strength. However, nitinol fibre-reinforced composites lose ductility significantly after 90 days, while nitinol powder shows good long-term ductility performance.

CASE STUDIES IN CONSTRUCTION MATERIALS (2021)

Editorial Material Business

Festschrift honouring Dr. Glenn Ballard

Lauri Koskela, Iris D. Tommelein, Carlos T. Formoso, Rafael Sacks

CONSTRUCTION MANAGEMENT AND ECONOMICS (2022)

Article Computer Science, Artificial Intelligence

Toward artificially intelligent cloud-based building information modelling for collaborative multidisciplinary design

Rafael Sacks, Zijian Wang, Boyuan Ouyang, Duygu Utkucu, Siyu Chen

Summary: The advancement from CAD to BIM in designing buildings has faced challenges in maintaining consistency across disciplinary models. A proposed 'Cloud BIM' approach aims to automate this by enriching models with semantic information and introducing a new ontology to represent relationships between building model objects.

ADVANCED ENGINEERING INFORMATICS (2022)

Article Engineering, Civil

Empirical investigation of the applicability of constructability methods to prevent design errors

Gabriel Raviv, Aviad Shapira, Rafael Sacks

Summary: The paper aims to identify effective constructability methods for early project design stages and found that a managerial approach offers the best methods in preventing constructability problems. On the other hand, methods such as company procedures and owner involvement were found to be the least effective.

BUILT ENVIRONMENT PROJECT AND ASSET MANAGEMENT (2022)

Article Business

Exploring the influence of socio-historical constructs on BIM implementation: an activity theory perspective

Thayla Zomer, Andy Neely, Rafael Sacks, Ajith Parlikad

Summary: BIM is commonly acknowledged as a paradigm shift in the construction industry, yet the actual implementation and systemic changes within the sector have not fully materialized as expected. Existing studies have not deeply explored how the background influences the process of change when introducing new technology, and how new practices evolve alongside old practices. The findings reveal that the implementation of practices is influenced by institutionalized socio-historical constructs.

CONSTRUCTION MANAGEMENT AND ECONOMICS (2021)

Article Construction & Building Technology

Building Information Modelling, Artificial Intelligence and Construction Tech

Rafael Sacks, Mark Girolami, Ioannis Brilakis

DEVELOPMENTS IN THE BUILT ENVIRONMENT (2020)

Article Computer Science, Interdisciplinary Applications

Clustering Information Types for Semantic Enrichment of Building Information Models to Support Automated Code Compliance Checking

Tanya Bloch, Rafael Sacks

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2020)

Proceedings Paper Computer Science, Theory & Methods

TOWARDS MULTI-PROJECT SIMULATION OF A LEAN PRODUCTION SYSTEM FOR CUSTOMIZED APARTMENT BUILDINGS

Samuel Korb, Rafael Sacks

2018 WINTER SIMULATION CONFERENCE (WSC) (2018)

Proceedings Paper Engineering, Civil

A specialized information schema for production planning and control of road construction

Eran Haronian, Rafael Sacks

EWORK AND EBUSINESS IN ARCHITECTURE, ENGINEERING AND CONSTRUCTION (2018)

Article Computer Science, Interdisciplinary Applications

3D Object Classification Using Geometric Features and Pairwise Relationships

Ling Ma, Rafael Sacks, Uri Kattel, Tanya Bloch

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Article Construction & Building Technology

Lightweight convolutional neural network driven by small data for asphalt pavement crack segmentation

Jia Liang, Qipeng Zhang, Xingyu Gu

Summary: A lightweight PCSNet-based segmentation model is developed to address the issues of insufficient performance in feature extraction and boundary loss information. The introduction of generalized Dice loss improves prediction performance, and the visualization of class activation mapping enhances model interpretability.

AUTOMATION IN CONSTRUCTION (2024)

Article Construction & Building Technology

Contextual multimodal approach for recognizing concurrent activities of equipment in tunnel construction projects

Gilsu Jeong, Minhyuk Jung, Seongeun Park, Moonseo Park, Changbum Ryan Ahn

Summary: This study introduces a contextual audio-visual approach to recognize multi-equipment activities in tunnel construction sites, improving monitoring effectiveness. Tested against real-world operation data, the model achieved remarkable results, emphasizing the potential of contextual multimodal models in enhancing operational efficiency in complex construction sites.

AUTOMATION IN CONSTRUCTION (2024)

Article Construction & Building Technology

Dual-path network combining CNN and transformer for pavement crack segmentation

Jin Wang, Zhigao Zeng, Pradip Kumar Sharma, Osama Alfarraj, Amr Tolba, Jianming Zhang, Lei Wang

Summary: This study presents a dual-path network for pavement crack segmentation, combining Convolutional Neural Network (CNN) and transformer. A lightweight CNN encoder is used for local feature extraction, while a novel transformer encoder integrates high-low frequency attention mechanism and efficient feedforward network for global feature extraction. Additionally, a complementary fusion module is introduced to aggregate intermediate features extracted from both encoders. Evaluation on three datasets confirms the superior performance of the proposed network.

AUTOMATION IN CONSTRUCTION (2024)

Article Construction & Building Technology

Robust optimization for geometrical design of 2D sequential interlocking assemblies

Pierre Gilibert, Romain Mesnil, Olivier Baverel

Summary: This paper introduces a flexible method for crafting 2D assemblies adaptable to various geometric assumptions in the realm of sustainable construction. By utilizing digital fabrication technologies and optimization approaches, precise control over demountable buildings can be achieved, improving mechanical performance and sustainability.

AUTOMATION IN CONSTRUCTION (2024)

Review Construction & Building Technology

Breaking new ground: Opportunities and challenges in tunnel boring machine operations with integrated management systems and artificial intelligence

Jorge Loy-Benitez, Myung Kyu Song, Yo-Hyun Choi, Je-Kyum Lee, Sean Seungwon Lee

Summary: This paper discusses the advancement of tunnel boring machines (TBM) through the application of artificial intelligence. It highlights the significance of AI-based management subsystems for automatic TBM operations and presents recent contributions in this field. The paper evaluates modeling, monitoring, and control subsystems and suggests research paths for integrating existing management subsystems into TBM automation.

AUTOMATION IN CONSTRUCTION (2024)

Review Construction & Building Technology

Text mining and natural language processing in construction

Alireza Shamshiri, Kyeong Rok Ryu, June Young Park

Summary: This paper reviews the application of text mining and natural language processing in the construction field, highlighting the need for automation and minimizing manual tasks. The study identifies potential research opportunities in strengthening overlooked construction aspects, coupling diverse data formats, and leveraging pre-trained language models and reinforcement learning.

AUTOMATION IN CONSTRUCTION (2024)

Article Construction & Building Technology

Improved coverage path planning for indoor robots based on BIM and robotic configurations

Zhengyi Chen, Hao Wang, Keyu Chen, Changhao Song, Xiao Zhang, Boyu Wang, Jack C. P. Cheng

Summary: This study proposes an improved coverage path planning system that leverages building information modeling and robotic configurations to optimize coverage performance in indoor environments. Experimental validation shows the effectiveness and applicability of the system. Future research will focus on further enhancing coverage ratio and optimizing computation time.

AUTOMATION IN CONSTRUCTION (2024)

Review Construction & Building Technology

Human-robot collaboration for modular construction manufacturing: Review of academic research

Yonglin Fu, Junjie Chen, Weisheng Lu

Summary: This study presents a review of human-robot collaboration (HRC) in modular construction manufacturing (MCM), focusing on tasks, human roles, and interaction levels. The review found that HRC solutions are applicable to various MCM tasks, with a primary focus on timber component production. It also revealed the diverse collaborative roles humans can play and the varying levels of interaction with robots.

AUTOMATION IN CONSTRUCTION (2024)

Article Construction & Building Technology

Steel cable bonding in fresh mortar and 3D printed beam flexural behavior

Qiong Liu, Shengbo Cheng, Chang Sun, Kailun Chen, Wengui Li, Vivian W. Y. Tam

Summary: This paper presents an approach to enhance the path-following capability of concrete printing by integrating steel cables into the printed mortar strips, and validates the feasibility and effectiveness of this approach through experiments.

AUTOMATION IN CONSTRUCTION (2024)

Article Construction & Building Technology

A transformer and self-cascade operation-based architecture for segmenting high-resolution bridge cracks

Honghu Chu, Lu Deng, Huaqing Yuan, Lizhi Long, Jingjing Guo

Summary: The study proposes a method called Cascade CATransUNet for high-resolution crack image segmentation. This method combines the coordinate attention mechanism and self-cascaded design to accurately segment cracks. Through a customized feature extraction architecture and an optimized boundary loss function, the proposed method achieves impressive segmentation performance on HR images and demonstrates its practicality in UAV crack detection tasks.

AUTOMATION IN CONSTRUCTION (2024)

Article Construction & Building Technology

Automated production of synthetic point clouds of truss bridges for semantic and instance segmentation using deep learning models

Daniel Lamas, Andres Justo, Mario Soilan, Belen Riveiro

Summary: This paper introduces a new method for creating synthetic point clouds of truss bridges and demonstrates the effectiveness of a deep learning approach for semantic and instance segmentation of these point clouds. The proposed methodology has significant implications for the development of automated inspection and monitoring systems for truss bridges.

AUTOMATION IN CONSTRUCTION (2024)

Article Construction & Building Technology

Dynamic building defect categorization through enhanced unsupervised text classification with domain-specific corpus embedding methods

Kahyun Jeon, Ghang Lee, Seongmin Yang, Yonghan Kim, Seungah Suh

Summary: This study proposes two enhanced unsupervised text classification methods for domain-specific non-English text. The results of the tests show that these methods achieve excellent performance on Korean building defect complaints, outperforming state-of-the-art zero-shot and few-shot text classification methods, with minimal data preparation effort and computing resources.

AUTOMATION IN CONSTRUCTION (2024)

Article Construction & Building Technology

Transformer language model for mapping construction schedule activities to uniformat categories

Yoonhwa Jung, Julia Hockenmaier, Mani Golparvar-Fard

Summary: This study introduces a transformer-based natural language processing model, UNIfORMATBRIDGE, that automatically labels activities in a project schedule with Uniformat classification. Experimental results show that the model performs well in matching unstructured schedule data to Uniformat classifications. Additionally, the study highlights the importance of this method in developing new techniques.

AUTOMATION IN CONSTRUCTION (2024)

Article Construction & Building Technology

Digital twin for indoor condition monitoring in living labs: University library case study

De-Graft Joe Opoku, Srinath Perera, Robert Osei-Kyei, Maria Rashidi, Keivan Bamdad, Tosin Famakinwa

Summary: This paper introduces a digital twin technology combining Building Information Modelling and the Internet of Things for the construction industry, aiming to optimize building conditions. The technology is implemented in a university library, successfully achieving real-time data capture and visual representation of internal conditions.

AUTOMATION IN CONSTRUCTION (2024)

Article Construction & Building Technology

Learning multi-granular worker intentions from incomplete visual observations for worker-robot collaboration in construction

Zaolin Pan, Yantao Yu

Summary: The construction industry faces safety and workforce shortages globally, and worker-robot collaboration is seen as a solution. However, robots face challenges in recognizing worker intentions in construction. This study tackles these challenges by proposing a fusion method and investigating the best granularity for recognizing worker intentions. The results show that the proposed method can recognize multi-granular worker intentions effectively, contributing to seamless worker-robot collaboration in construction.

AUTOMATION IN CONSTRUCTION (2024)