Summary: What You Should Know About Location Modeling
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1 introduction
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Where does EMS stand for?
Emergency medical service -
2 A taxonomy of location models
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What does analytic models typically assume
That demand is distributed in some way over a service area and that facilities can be located anywhere within the area -
What is the expected distance in the analytic model ?
(2/3)*(sqrt(a/2)) -
What is the focus of Network location models?
To find polynomial time algorithms -
What is the typical assumption of continuous models?
That demands arise only arise at discrete points -
3 Discrete location models
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Which three classes are there in discrete location modelling?
Covering-based, median-based and other models -
What do covering based models assume?
Covering basedmodels assume that there is some criticalcoverage distance or time within which demands need to be servedadequately to be counted as covered -
What are median-based models?
Median-based models minimizes demand-weighted average distance between a demand node and the facility. -
Wherefore is the category other models?
For models that does not fall into covering based models or median based models -
What does the p-dispersion model do?
The p-dispersion model maximizes the distance between two facilities, franchises for example.
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