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http://dx.doi.org/10.6106/KJCEM.2015.16.5.054

Development of Manufacturing Planning for Multi Modular Construction Project based on Genetic-Algorithm  

Kim, Minjung (Department of Architecture & Architectural Engineering, Seoul National University)
Park, Moonseo (Department of Architecture & Architectural Engineering, Seoul National University)
Lee, Hyun-soo (Department of Architecture & Architectural Engineering, Seoul National University)
Lee, Jeonghoon (Department of Architecture, Seoul National University)
Lee, Kwang-Pyo (Department of Architecture & Architectural Engineering, Seoul National University)
Publication Information
Korean Journal of Construction Engineering and Management / v.16, no.5, 2015 , pp. 54-64 More about this Journal
Abstract
The modular construction has several advantages such as high quality of product, safe work condition and short construction duration. The manufacturing planning of modular construction should consider time frame of manufacturing, transport and erection process with limited resources (e.g., modular units, transporter and workers). The manufacturing planning of multi modular construction project manages the modular construction's characteristics and diversity of projects, as a type of modular unit, modular unit quantities, and date for delivery. However, current modular manufacturing planning techniques are weak in dealing with resource interactions and each project requirement in multi modular construction project environments. Inefficient allocation of resources during multi modular construction project may cause delays and cost overruns to construction operation. In this circumstance, this research suggest a manufacturing planning model for schedule optimization of multi project of modular construction, using genetic algorithm as one of the powerful method for schedule optimization with multiple constrained resources. Comparing to the result of the existed schedule of case study, setting optimized scheduling for multi project decrease the total factory producing schedule. By using proposed optimization tool, efficient allocation of resource and saving project time is expected.
Keywords
Modular construction; Modular Unit; Multi Project; Factory Scheduling; Genetic-Algorithm(GA);
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Times Cited By KSCI : 3  (Citation Analysis)
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