SWP-enabled constraints modeling for on-site assembly process of prefabrication housing production
© 2019 Elsevier Ltd Prefabrication housing production (PHP) processes are fragmented and full of variability. Their schedule reliability is particularly disturbed by the constraints deriving from task executions in the on-site assembly process. Proactive constraints modeling, including identifying c...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
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2019
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| Online Access: | http://purl.org/au-research/grants/arc/DP180104026 http://hdl.handle.net/20.500.11937/76509 |
| _version_ | 1848763705091686400 |
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| author | Li, X. Wu, C. Wu, Peng Xiang, L. Shen, G.Q. Vick, S. Li, C.Z. |
| author_facet | Li, X. Wu, C. Wu, Peng Xiang, L. Shen, G.Q. Vick, S. Li, C.Z. |
| author_sort | Li, X. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2019 Elsevier Ltd Prefabrication housing production (PHP) processes are fragmented and full of variability. Their schedule reliability is particularly disturbed by the constraints deriving from task executions in the on-site assembly process. Proactive constraints modeling, including identifying constraints and understanding their interrelationships, is crucial to ensure successful task executions and enhance sociability in collaborative working. However, current methods for constraints modeling are often sluggish and heavily rely on human's commitments because there is no real-time and value-added information for decision-making. To address this issue, this study proposes an approach of smart work packaging (SWP)-enabled constraints modeling service, which consists of three dynamic sub-services: social network analysis (SNA) service, hybrid system dynamics (SD)-discrete event simulation (DES) model service, and constraints scenario analysis service. It can equip the workers with the ability to (1) automatically identify the critical constraints, (2) dynamically explore interactional and interdependent relationships of these constraints, and (3) simulate and analyze the impact on schedule performance under different constraints scenarios. Five critical constraints are identified, including adverse weather conditions, lack of collision-free path planning, lack of visible and audible communication mechanism, lack of optimal buffer layout, and lack of optimal installation sequence. Most interrelationships are depicted in the four modules of the hybrid SD-DES model, including the assembly process, resource availability, operation efficiency, and schedule performance. Finally, the most influential constraint “lack of collision-free path planning” to schedule performance is identified in the constraints scenario analysis process. |
| first_indexed | 2025-11-14T11:07:42Z |
| format | Journal Article |
| id | curtin-20.500.11937-76509 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:07:42Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-765092021-08-19T07:20:56Z SWP-enabled constraints modeling for on-site assembly process of prefabrication housing production Li, X. Wu, C. Wu, Peng Xiang, L. Shen, G.Q. Vick, S. Li, C.Z. © 2019 Elsevier Ltd Prefabrication housing production (PHP) processes are fragmented and full of variability. Their schedule reliability is particularly disturbed by the constraints deriving from task executions in the on-site assembly process. Proactive constraints modeling, including identifying constraints and understanding their interrelationships, is crucial to ensure successful task executions and enhance sociability in collaborative working. However, current methods for constraints modeling are often sluggish and heavily rely on human's commitments because there is no real-time and value-added information for decision-making. To address this issue, this study proposes an approach of smart work packaging (SWP)-enabled constraints modeling service, which consists of three dynamic sub-services: social network analysis (SNA) service, hybrid system dynamics (SD)-discrete event simulation (DES) model service, and constraints scenario analysis service. It can equip the workers with the ability to (1) automatically identify the critical constraints, (2) dynamically explore interactional and interdependent relationships of these constraints, and (3) simulate and analyze the impact on schedule performance under different constraints scenarios. Five critical constraints are identified, including adverse weather conditions, lack of collision-free path planning, lack of visible and audible communication mechanism, lack of optimal buffer layout, and lack of optimal installation sequence. Most interrelationships are depicted in the four modules of the hybrid SD-DES model, including the assembly process, resource availability, operation efficiency, and schedule performance. Finally, the most influential constraint “lack of collision-free path planning” to schedule performance is identified in the constraints scenario analysis process. 2019 Journal Article http://hdl.handle.net/20.500.11937/76509 10.1016/j.jclepro.2019.117991 http://purl.org/au-research/grants/arc/DP180104026 http://creativecommons.org/licenses/by-nc-nd/4.0/ fulltext |
| spellingShingle | Li, X. Wu, C. Wu, Peng Xiang, L. Shen, G.Q. Vick, S. Li, C.Z. SWP-enabled constraints modeling for on-site assembly process of prefabrication housing production |
| title | SWP-enabled constraints modeling for on-site assembly process of prefabrication housing production |
| title_full | SWP-enabled constraints modeling for on-site assembly process of prefabrication housing production |
| title_fullStr | SWP-enabled constraints modeling for on-site assembly process of prefabrication housing production |
| title_full_unstemmed | SWP-enabled constraints modeling for on-site assembly process of prefabrication housing production |
| title_short | SWP-enabled constraints modeling for on-site assembly process of prefabrication housing production |
| title_sort | swp-enabled constraints modeling for on-site assembly process of prefabrication housing production |
| url | http://purl.org/au-research/grants/arc/DP180104026 http://hdl.handle.net/20.500.11937/76509 |