TY - JOUR
T1 - A p-center grid-positioning aggregation procedure
AU - Rayco, M. Brenda
AU - Francis, Richard L.
AU - Tamir, Arie
N1 - Funding Information:
* Corresponding author. E-mail addresses: [email protected] (M.B. Rayco), [email protected]#.edu (R.L. Francis), [email protected] (A. Tamir) ☆This research was supported in part by the National Science Foundation, Grant DDM-9023392.
PY - 1999/9
Y1 - 1999/9
N2 - We present an algorithm for aggregating p-center demand points such that the resulting aggregate set imposes a grid structure on the plane consisting of identical 'diamonds' of user-specified dimensions. The grid is positioned so that a well-defined upper bound on the objective function error is smallest. Scope and purpose A model often proposed for locating emergency service facilities is the p-center model. Its solution recommends locations for such facilities to minimize the maximum time (or distance) to respond to an emergency at some demand point. In an urban context, there could be millions of possible emergency demand points. Thus, it is common to aggregate demand points. The aggregation creates error. For a certain type of p-center problem, we present an aggregation procedure which can also be used to predict the maximum error, thus allowing the error to be kept within acceptable limits.
AB - We present an algorithm for aggregating p-center demand points such that the resulting aggregate set imposes a grid structure on the plane consisting of identical 'diamonds' of user-specified dimensions. The grid is positioned so that a well-defined upper bound on the objective function error is smallest. Scope and purpose A model often proposed for locating emergency service facilities is the p-center model. Its solution recommends locations for such facilities to minimize the maximum time (or distance) to respond to an emergency at some demand point. In an urban context, there could be millions of possible emergency demand points. Thus, it is common to aggregate demand points. The aggregation creates error. For a certain type of p-center problem, we present an aggregation procedure which can also be used to predict the maximum error, thus allowing the error to be kept within acceptable limits.
KW - Aggregation
KW - Location models
KW - P-center problem
UR - http://www.scopus.com/inward/record.url?scp=0033198096&partnerID=8YFLogxK
U2 - 10.1016/S0305-0548(99)00019-2
DO - 10.1016/S0305-0548(99)00019-2
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AN - SCOPUS:0033198096
SN - 0305-0548
VL - 26
SP - 1113
EP - 1124
JO - Computers and Operations Research
JF - Computers and Operations Research
IS - 10-11
ER -