Smart multi-project scheduling and multi-skilled workforce assignment for prefabricated bathroom unit production
This paper addresses low worker productivity in Prefabricated Bathroom Unit (PBU) production. To improve, a hierarchical two-level model is developed to (1) integrate project scheduling and task assignments, (2) incorporate multi-skilled workers at an individual level with heterogeneous skill scopes...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/180828 |
| _version_ | 1826130141932158976 |
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| author | Han, Jinchi Chen, Chen Tiong, Robert Lee Kong Wu, Kan |
| author2 | School of Civil and Environmental Engineering |
| author_facet | School of Civil and Environmental Engineering Han, Jinchi Chen, Chen Tiong, Robert Lee Kong Wu, Kan |
| author_sort | Han, Jinchi |
| collection | NTU |
| description | This paper addresses low worker productivity in Prefabricated Bathroom Unit (PBU) production. To improve, a hierarchical two-level model is developed to (1) integrate project scheduling and task assignments, (2) incorporate multi-skilled workers at an individual level with heterogeneous skill scopes and levels, and (3) monitor variable processing times influenced by human learning effects. The paper introduces a hybrid whale optimization algorithm (HWOA) to optimize and validate the solution through comparative and sensitivity analysis based on a real-world industrial case. Results show that the proposed algorithm outperforms the classical whale optimization algorithm (WOA) and genetic algorithm (GA) in terms of efficiency, solution quality, and robustness. The paper (1) fills the gap of oversimplified assumptions in precast production scheduling and task assignment, (2) potentially helps precast factory managers plan effectively to maximize productivity, also (3) suggests future research integrating logistics costs and worker fatigue to enhance the model's applicability and accuracy. |
| first_indexed | 2025-03-09T15:16:54Z |
| format | Journal Article |
| id | ntu-10356/180828 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-03-09T15:16:54Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1808282024-10-29T02:03:23Z Smart multi-project scheduling and multi-skilled workforce assignment for prefabricated bathroom unit production Han, Jinchi Chen, Chen Tiong, Robert Lee Kong Wu, Kan School of Civil and Environmental Engineering Engineering Heterogeneous workers Metaheuristic optimization This paper addresses low worker productivity in Prefabricated Bathroom Unit (PBU) production. To improve, a hierarchical two-level model is developed to (1) integrate project scheduling and task assignments, (2) incorporate multi-skilled workers at an individual level with heterogeneous skill scopes and levels, and (3) monitor variable processing times influenced by human learning effects. The paper introduces a hybrid whale optimization algorithm (HWOA) to optimize and validate the solution through comparative and sensitivity analysis based on a real-world industrial case. Results show that the proposed algorithm outperforms the classical whale optimization algorithm (WOA) and genetic algorithm (GA) in terms of efficiency, solution quality, and robustness. The paper (1) fills the gap of oversimplified assumptions in precast production scheduling and task assignment, (2) potentially helps precast factory managers plan effectively to maximize productivity, also (3) suggests future research integrating logistics costs and worker fatigue to enhance the model's applicability and accuracy. The authors would like to take this opportunity to thank the senior management of Soilbuild Construction Group Ltd. for their continued support of our research work. 2024-10-29T02:03:23Z 2024-10-29T02:03:23Z 2024 Journal Article Han, J., Chen, C., Tiong, R. L. K. & Wu, K. (2024). Smart multi-project scheduling and multi-skilled workforce assignment for prefabricated bathroom unit production. Automation in Construction, 166, 105626-. https://dx.doi.org/10.1016/j.autcon.2024.105626 0926-5805 https://hdl.handle.net/10356/180828 10.1016/j.autcon.2024.105626 2-s2.0-85199477095 166 105626 en Automation in Construction © 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies. |
| spellingShingle | Engineering Heterogeneous workers Metaheuristic optimization Han, Jinchi Chen, Chen Tiong, Robert Lee Kong Wu, Kan Smart multi-project scheduling and multi-skilled workforce assignment for prefabricated bathroom unit production |
| title | Smart multi-project scheduling and multi-skilled workforce assignment for prefabricated bathroom unit production |
| title_full | Smart multi-project scheduling and multi-skilled workforce assignment for prefabricated bathroom unit production |
| title_fullStr | Smart multi-project scheduling and multi-skilled workforce assignment for prefabricated bathroom unit production |
| title_full_unstemmed | Smart multi-project scheduling and multi-skilled workforce assignment for prefabricated bathroom unit production |
| title_short | Smart multi-project scheduling and multi-skilled workforce assignment for prefabricated bathroom unit production |
| title_sort | smart multi project scheduling and multi skilled workforce assignment for prefabricated bathroom unit production |
| topic | Engineering Heterogeneous workers Metaheuristic optimization |
| url | https://hdl.handle.net/10356/180828 |
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