optimzation and location-allocation modeling

AM-45 - Mathematical modeling
  • Explain how optimization models can be used to generate models of alternate options for presentation to decision makers
  • Explain, using the concept of combinatorial complexity, why some location problems are very hard to solve
  • Compare and contrast the concepts of discrete location problems and continuous location problems
  • Explain the concept of solution space
  • Explain the principles of operations research modeling and location modeling
AM-46 - Location-allocation modeling
  • Describe the structure of origin-destination matrices
  • Explain Weber’s locational triangle
  • Assess the outcome of location-allocation models using other spatial analysis techniques
  • Compare and contrast covering, dispersion, and p-median models
  • Locate, using location-allocation software, service facilities that meet given sets of constraints
  • Explain the concepts of demand and service
AM-45 - Mathematical modeling
  • Explain how optimization models can be used to generate models of alternate options for presentation to decision makers
  • Explain, using the concept of combinatorial complexity, why some location problems are very hard to solve
  • Compare and contrast the concepts of discrete location problems and continuous location problems
  • Explain the concept of solution space
  • Explain the principles of operations research modeling and location modeling
AM-46 - Location-allocation modeling
  • Describe the structure of origin-destination matrices
  • Explain Weber’s locational triangle
  • Assess the outcome of location-allocation models using other spatial analysis techniques
  • Compare and contrast covering, dispersion, and p-median models
  • Locate, using location-allocation software, service facilities that meet given sets of constraints
  • Explain the concepts of demand and service
AM-46 - Location-allocation modeling
  • Describe the structure of origin-destination matrices
  • Explain Weber’s locational triangle
  • Assess the outcome of location-allocation models using other spatial analysis techniques
  • Compare and contrast covering, dispersion, and p-median models
  • Locate, using location-allocation software, service facilities that meet given sets of constraints
  • Explain the concepts of demand and service
AM-45 - Mathematical modeling
  • Explain how optimization models can be used to generate models of alternate options for presentation to decision makers
  • Explain, using the concept of combinatorial complexity, why some location problems are very hard to solve
  • Compare and contrast the concepts of discrete location problems and continuous location problems
  • Explain the concept of solution space
  • Explain the principles of operations research modeling and location modeling
AM-46 - Location-allocation modeling
  • Describe the structure of origin-destination matrices
  • Explain Weber’s locational triangle
  • Assess the outcome of location-allocation models using other spatial analysis techniques
  • Compare and contrast covering, dispersion, and p-median models
  • Locate, using location-allocation software, service facilities that meet given sets of constraints
  • Explain the concepts of demand and service
AM-45 - Mathematical modeling
  • Explain how optimization models can be used to generate models of alternate options for presentation to decision makers
  • Explain, using the concept of combinatorial complexity, why some location problems are very hard to solve
  • Compare and contrast the concepts of discrete location problems and continuous location problems
  • Explain the concept of solution space
  • Explain the principles of operations research modeling and location modeling
AM-46 - Location-allocation modeling
  • Describe the structure of origin-destination matrices
  • Explain Weber’s locational triangle
  • Assess the outcome of location-allocation models using other spatial analysis techniques
  • Compare and contrast covering, dispersion, and p-median models
  • Locate, using location-allocation software, service facilities that meet given sets of constraints
  • Explain the concepts of demand and service
AM-45 - Mathematical modeling
  • Explain how optimization models can be used to generate models of alternate options for presentation to decision makers
  • Explain, using the concept of combinatorial complexity, why some location problems are very hard to solve
  • Compare and contrast the concepts of discrete location problems and continuous location problems
  • Explain the concept of solution space
  • Explain the principles of operations research modeling and location modeling

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