Summary: What You Should Know About Location Modeling

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  • 1 introduction

  • Where does EMS stand for?

    Emergency medical service
  • 2 A taxonomy of location models

  • 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

    This is a preview. There are 11 more flashcards available for chapter 3
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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 based models assume that there is some critical coverage distance or time within which demands need to be served adequately 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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