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Title:

A Continuum Approximation Method for Reliable Facility Location Design with Imperfect Information

Accession Number:

01629166

Record Type:

Component

Abstract:

This paper proposes a continuum approximation (CA) model to solve the reliable facility location design problem with imperfect information. This continuous model complements its discrete counterpart model previously developed by the authors. Compared with the discrete model, the CA model considers a more general problem that further incorporates inbound transportation for the return trip after one customer finish visiting facilities. It has superior computational efficiency for large-scale problem instances. Further, it more intuitively reveals managerial insights into an approximated problem with homogeneous settings (e.g., how a user chooses to visit facilities in a homogeneous plane). The results of case studies indicate that the proposed CA model can obtain a near-optimal solution compared with the discrete model and has a robust performance.

Supplemental Notes:

This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-03403

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Yun, Lifen
Wang, Xifu
Fan, Hongqiang
Li, Xiaopeng
Dong, Peng

Pagination:

16p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-03403

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:16AM