Hodgson M. John

M. John Hodgson

Information about the author M. John Hodgson will soon be added to the site.
Found 11 papers in total
Aggregation and surrogation error in the p-median model
Aggregation and surrogation error in the p-median model
2003
No abstract.
Multi-service facility location models
Multi-service facility location models
2003
The multi-service facility (MSF) concept proposes the co-location of a range of human...
Relaxing the nearest facility assumption in discrete location models
Relaxing the nearest facility assumption in discrete location models
2002
This paper investigates the effects of relaxation of the nearest facility assumption,...
Data surrogation error in p-median models
Data surrogation error in p-median models
2002
The p -median model locates facilities to provide optimal service to target...
Heuristic concentration for the p-median: An example demonstrating how and why it works
Heuristic concentration for the p-median: An example demonstrating how and why it works
2002
We map certain combinatorial aspects of the p -median problem and explore their...
Heuristics for the multi-vehicle covering tour problem
Heuristics for the multi-vehicle covering tour problem
2000
The multi-vehicle covering tour problem is defined on a graph G = ( V ∪ W, E ),...
Using geographic information systems to assess the risks of hazardous materials transport in networks
Using geographic information systems to assess the risks of hazardous materials transport in networks
2000
Routing hazardous materials (hazmat) wisely, and designing safer networks for doing...
Applying the flow-capturing location-allocation model to an authentic network: Edmonton, Canada
Applying the flow-capturing location-allocation model to an authentic network: Edmonton, Canada
1996
Traditional location-allocation models aim to locate network facilities to optimally...
A review of location-allocation applications literature
A review of location-allocation applications literature
1993
The authors identify and classify published applications of location-allocation...
A network location-allocation model trading off flow capturing and p-median objectives
A network location-allocation model trading off flow capturing and p-median objectives
1993
The flow capturing and the p- median location-allocation models deal quite differently...
Stability of solutions to the p-median problem under induced data error
Stability of solutions to the p-median problem under induced data error
1991
The discrete space p- median model is the best known and most widely used...
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