Two-Stage Stochastic Programming for Precast Module Water Transportation: A Case Study in Hong Kong DOI Creative Commons
Huiwen Wang,

Ying Terk Lim,

Shenming Xie

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(24), P. 11987 - 11987

Published: Dec. 21, 2024

Transporting precast modules via water is a vital component of multimodal transportation systems, increasingly utilized in large-scale Modular integrated Construction (MiC) projects where are prefabricated remote factories. The effectiveness module planning significantly impacts the overall costs and productivity MiC projects. However, existing studies on neglect uncertainty inherent projects, thereby resulting increased costs. This study proposes two-stage stochastic programming model to optimize through water, addressing this uncertainty. A real Hong Kong case with 418 employed assess proposed comparison three deterministic models. optimal plan solved by HKD 148,951, comprising 21% from temporary rentals 79% advance bookings. results show that models, without considering demand, will incur additional 25% higher average than developed model. Additionally, paper conducts sensitivity analysis price ratio pre-booked barges on-demand evaluate its impact total can effectively help transport planners reduce associated transportation.

Language: Английский

Quantitative assessment model for spatial and functional performances of structures using fuzzy logic, case studies: Spaceframe structures DOI
Sara Sadeghi,

Mehdi Mahmoudi Kamelabad,

Hamed Kamelnia

et al.

Structures, Journal Year: 2025, Volume and Issue: 74, P. 108605 - 108605

Published: March 11, 2025

Language: Английский

Citations

0
Two-Stage Stochastic Programming for Precast Module Water Transportation: A Case Study in Hong Kong DOI Creative Commons
Huiwen Wang,

Ying Terk Lim,

Shenming Xie

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(24), P. 11987 - 11987

Published: Dec. 21, 2024

Transporting precast modules via water is a vital component of multimodal transportation systems, increasingly utilized in large-scale Modular integrated Construction (MiC) projects where are prefabricated remote factories. The effectiveness module planning significantly impacts the overall costs and productivity MiC projects. However, existing studies on neglect uncertainty inherent projects, thereby resulting increased costs. This study proposes two-stage stochastic programming model to optimize through water, addressing this uncertainty. A real Hong Kong case with 418 employed assess proposed comparison three deterministic models. optimal plan solved by HKD 148,951, comprising 21% from temporary rentals 79% advance bookings. results show that models, without considering demand, will incur additional 25% higher average than developed model. Additionally, paper conducts sensitivity analysis price ratio pre-booked barges on-demand evaluate its impact total can effectively help transport planners reduce associated transportation.

Language: Английский

Citations

0