Loading…
Covering polygons with discs: The problem of crane selection and location on construction sites
•Formalization of the tower crane selection and location problem.•Reduction to a variant of the geometric set cover.•Restriction to a finite set of candidate locations without loss of optimality.•Evaluation employing an off-the-shelf solver. Cranes are a key element in construction projects as they...
Saved in:
Published in: | Omega (Oxford) 2020-12, Vol.97, p.102114, Article 102114 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | •Formalization of the tower crane selection and location problem.•Reduction to a variant of the geometric set cover.•Restriction to a finite set of candidate locations without loss of optimality.•Evaluation employing an off-the-shelf solver.
Cranes are a key element in construction projects as they are the primary lifting equipment and among the most expensive construction equipment. Thus, crane selection and location are important factors for a construction project’s operational and economic success. In this research, we focus on a site with supply and demand areas that have to be connected by tower cranes. There are several tower crane models differing in certain specifications such as costs or operating radius. The objective is to select cranes and determine their locations so that each demand area is connected to its supply area at minimum cost. We detail the problem setting and show how to obtain a discrete set of candidate locations for each crane model without losing optimality. This discretization allows us to reduce our problem to the classic set cover problem. Despite its NP-hardness, instances of considerable size can be solved to optimality within reasonable computing time using a standard solver. In an extensive computational study, we analyze the performance of the proposed approach in terms of solution quality, computation times, and drivers of computational effort. |
---|---|
ISSN: | 0305-0483 1873-5274 |
DOI: | 10.1016/j.omega.2019.102114 |