Imperial College London
Alternate

Dr Marco Aurisicchio

Faculty of Engineering, Dyson School of Design Engineering

Reader in Engineering Design
 
 
 
//

Contact

 

m.aurisicchio

 
 
//

Location

 

Office 1 (104)Dyson BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Hsu:2018:10.1016/j.autcon.2018.05.029,
author = {Hsu, P-Y and Angeloudis, P and Aurisicchio, M},
doi = {10.1016/j.autcon.2018.05.029},
journal = {AUTOMATION IN CONSTRUCTION},
pages = {47--61},
title = {Optimal logistics planning for modular construction using two-stage stochastic programming},
url = {http://dx.doi.org/10.1016/j.autcon.2018.05.029},
volume = {94},
year = {2018}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AU  - Hsu,P-Y
AU  - Angeloudis,P
AU  - Aurisicchio,M
DO  - 10.1016/j.autcon.2018.05.029
EP  - 61
PY  - 2018///
SN  - 0926-5805
SP  - 47
TI  - Optimal logistics planning for modular construction using two-stage stochastic programming
T2  - AUTOMATION IN CONSTRUCTION
UR  - http://dx.doi.org/10.1016/j.autcon.2018.05.029
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000443663900005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR  - http://hdl.handle.net/10044/1/60464
VL  - 94
ER  -
Download