Methodology to estimate logistics costs for vertically transported prefabricated wall panels

Author:

Lee Yujin1ORCID,Kim Jung In2ORCID,Flager Forest3,Fischer Martin1

Affiliation:

1. Department of Civil and Environmental Engineering, Stanford University , Stanford, CA 94305, USA

2. Department of Architecture and Civil Engineering, City University of Hong Kong , Tat Chee Avenue, Kowloon 999077, Hong Kong SAR

3. Parspec, Inc. , Palo Alto, CA 94303, USA

Abstract

Abstract When transporting prefabricated exterior panels vertically, shipping frame types and site conditions affect panel logistics. Thus, it is crucial that project participants estimate the logistics costs considering these factors, which vary by projects, to select the most economic option rapidly and consistently for a specific project in addition to three important objectives of panel logistics (i.e. number of trailers, reshuffling effort, and panel stability). In this study, the authors developed a methodology to generate loading plans for different types of shipping frames and site conditions using both first fit and next fit algorithms and evaluate the cost-related items for the loading plans considering project conditions. To demonstrate the usefulness of the methodology, the authors conducted a case study and compared the logistics costs for three different frame options considering site conditions. The results show that the methodology enables project participants to identify the advantages and disadvantages of different frame options based on given site conditions, which can guide project participants to make informed decisions about the preferred frame option.

Funder

Center for Integrated Facility Engineering, Stanford University

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computer Graphics and Computer-Aided Design,Human-Computer Interaction,Engineering (miscellaneous),Modeling and Simulation,Computational Mechanics

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4. Online simulation modeling of prefabricated wall panel production using RFID system;Altaf,2016

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