A systematic review of lean simulation games in the construction industry

Bhatnagar, Shaurya; Jacob, Georgie; Devkar, Ganesh; Rybkowski, Zofia K.; Arefazar, Yasaman; Obulam, Rajeswari

doi:10.1080/17452007.2022.2155604

Cited by 11 publications

(15 citation statements)

References 43 publications

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“…Active methodologies are innovative approaches that allow for a more effective way to disseminate Lean Production principles, concepts, methods, and practices. Many simulations and serious games have been used as active methodologies to enhance understanding in the field of construction management, designed as active learning tools for both students and construction professionals (Bhatnagar et al, 2023;Forcael; Serious games: evolution of applications as a teaching technique for the Lean Construction community Miron, L. I. G.; Viana, D. D.; Brandalise, F. M. P.…”

Section: Active Methodologies and Problem Classesmentioning

confidence: 99%

“…In simulations, an artificial environment is created that replicates reality (Lean et al, 2006;Narayanasamy et al, 2006), aiming to train and develop the user's skills (Bhatnagar et al, 2023). In serious games, participants engage in various interaction modes under a predefined context and with clear procedures (Bhatnagar et al, 2023), resulting in a goal-oriented activity (Narayanasamy et al, 2006) toward solving a problem or achieving the objective of the game. The objective is to instruct, educate and entertain users in physical or computer-based formats (Bhatnagar et al, 2023).…”

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confidence: 99%

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Serious games: evolution of applications as a teaching technique for the Lean Construction community

Miron,

Viana,

Brandalise

2024

Ambient. constr.

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The “International Group for Lean Construction” aims to adopt a new management philosophy for the Architecture, Engineering, and Construction (AEC) industry. Learning this philosophy can be supported by using active methodologies, especially serious games. This work aimed to analyse the evolution of using serious games as a teaching technique based on problem classes, in the context of the Lean Construction community. A literature review and an analysis of an empirical experience were carried out in an architecture and urbanism undergraduate course. The results demonstrate the evolution of the use of these techniques, as well as their implications for the education and training of AEC professionals.

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Section: Active Methodologies and Problem Classesmentioning

confidence: 99%

mentioning

confidence: 99%

Serious games: evolution of applications as a teaching technique for the Lean Construction community

Miron,

Viana,

Brandalise

2024

Ambient. constr.

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“…• The systematic review of lean simulation games in construction by Bhatnagar et al [31] underscores the potential for LLMs in training and simulation, enhancing learning experiences through interactive and adaptive challenges. Finally, Gadre et al's [32] search for next-generation multimodal datasets highlights the need for comprehensive, rich data sources that can fuel the creative engines of these LLMs, enabling them to understand and contribute to the maker space ecosystem in meaningful ways.…”

Section: Steerability and Composability In Llmsmentioning

confidence: 99%

“…The creative maker spaces have become vibrant hubs of 21 st -century innovation, merging the traditional tactile experience with digital fabrication and design. However, integrating new artificial intelligence (AI) tools and, in particular, the current generation of multimodal large language models (LLMs) [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] into these environments has the potential to enhance human creativity and innovation [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32]. In recent years, the intersection of AI and multimodal (MM) learning has spawned a generation of models that integrate and interpret information across various forms of data, including text, images, and speech.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Classification Methods Applied to Tabular Cybersecurity Benchmarks

Noever¹,

Noever²

2021

IJNSA

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This research recasts the network attack dataset from UNSW-NB15 as an intrusion detection problem in image space. Using one-hot-encodings, the resulting grayscale thumbnails provide a quarter-million examples for deep learning algorithms. Applying the MobileNetV2’s convolutional neural network architecture, the work demonstrates a 97% accuracy in distinguishing normal and attack traffic. Further class refinements to 9 individual attack families (exploits, worms, shellcodes) show an overall 54% accuracy. Using feature importance rank, a random forest solution on subsets shows the most important source-destination factors and the least important ones as mainly obscure protocols. It further extends the image classification problem to other cybersecurity benchmarks such as malware signatures extracted from binary headers, with an 80% overall accuracy to detect computer viruses as portable executable files (headers only). Both novel image datasets are available to the research community on Kaggle.

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“…Simulation games can be used in the classroom to promote learning, facilitate classroom instruction, and boost comprehension among students (Bhatnagar et al, 2022;Hamzeh et al, 2017). Furthermore, students expect university education to be entertaining and simulation games can impart learning in an enjoyable way (Kapp, 2012;Prensky, 2007).…”

Section: Introductionmentioning

confidence: 99%

Development and Testing of a Digital Lean Tool to Sharpen Motion and Transportation Waste Recognition

Arefazar¹,

Rybkowski²,

Jeong³

et al. 2023

Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31)

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There is a need to create ways to communicate opportunities for motion and transportation waste reduction and productivity enhancement that align with the visual management characteristics of those practicing within the construction industry. In this study, researchers aimed to evaluate the effectiveness of an interactive online simulation game that generates spaghetti diagrams as a tool for improving conceptual understanding of motion and transportation waste reduction, that could potentially be used by lean educators in the construction industry. The tool was developed using Unity™ and tested against a control group. To ensure the concept was relatable to participants across different roles, the commonly experienced activity of making spaghetti was chosen as the simulation scenario. Participant feedback from preliminary testing of the online simulation game indicated that the activity was enjoyable and appeared to heighten participant awareness of object placement. Metrics generated by the simulation-as well as post-play discussion-appeared to help participants perceive how elimination of motion and transportation waste can potentially improve their performance. The intent of the simulation is to spur post-simulation discussion with participants about identifying and reducing waste in their own varied processes such as job site operations and procurement.

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A systematic review of lean simulation games in the construction industry

Cited by 11 publications

References 43 publications

Serious games: evolution of applications as a teaching technique for the Lean Construction community

Serious games: evolution of applications as a teaching technique for the Lean Construction community

Deep Learning Classification Methods Applied to Tabular Cybersecurity Benchmarks

Development and Testing of a Digital Lean Tool to Sharpen Motion and Transportation Waste Recognition

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