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Zoning‐Based Vertical Transportation Optimization for Workers at Peak Time in a Skyscraper Construction
Author(s) -
Koo Choongwan,
Hong Taehoon,
Yoon Jaeseong,
Jeong Kwangbok
Publication year - 2016
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/mice.12220
Subject(s) - zoning , maximization , lift (data mining) , minification , transport engineering , computer science , business , civil engineering , engineering , mathematical optimization , mathematics , data mining , programming language
In a skyscraper construction, a great number of workers and materials must be vertically transported to the proper positions depending on their roles. Particularly, the optimal vertical transportation logistics of lift cars for workers at peak time should be established to enhance the entire project performance in a skyscraper construction. For achieving this objective, the zoning‐based concept can be introduced to improve the effectiveness of the vertical transportation logistics of lift cars for workers at peak time in a skyscraper construction. In developing the zoning‐based vertical transportation logistics, it is necessary to consider the minimization of the electricity consumption as an environmental index as well as the minimization of the operating time and the maximization of the cost effectiveness. Therefore, this study aims to develop a multi‐objective optimization model for solving the time–cost–environment trade‐off problem in establishing the zoning‐based vertical transportation logistics of lift cars for workers at peak time in a skyscraper construction.