Figure 5-8.xlsx
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table11.2 Page 1 Steel Appliances (Figure 5-8) Sources/ $/Ton Mile Tons Coordinates Markets Sources Buffalo 0.90 500 700 ### 1389 Memphis 0.95 300 250 600 650 St. Louis 0.85 700 225 825 855 Markets Atlanta 1.50 225 600 500 781 Boston 1.50 150 1050 ### 1595 Jacksonvill 1.50 250 800 300 854 Philadelphi 1.50 175 925 975 1344 New York 1.50 300 1000 ### 1472 0 0 Facility Location 0.0 0.0 Cost = ### Fn Dn xn yn dn x = y = 0 200 400 600 800 1000 0 200 400 600 800 1000 1200 1400 X Y Using Solver to Optimize Lo 1. Using Data | Analysis | location of facility repres 2. Change tonnage from St. you expect location of faci 3. Change tonnage from St. you expect location of faci
Transcript of Figure 5-8.xlsx
Basic Location Models
table11.2Steel Appliances (Figure 5-8)
Sources/$/Ton MileTonsCoordinatesMarketsFnDnxnyndnSourcesBuffalo0.90500.0700.01200.01389Memphis0.95300.0250.0600.0650St. Louis0.85700.0225.0825.0855MarketsAtlanta1.50225.0600.0500.0781Boston1.50150.01050.01200.01595Jacksonville1.50250.0800.0300.0854Philadelphia1.50175.0925.0975.01344New York1.50300.01000.01080.014720.00.0Facility Location
x = 0.0y =0.0
Cost =3277109.65
Using Solver to Optimize Location for Steel Appliances1. Using Data | Analysis | Solver, solve the model to obtain location of facility represented by pink dot in chart below.
2. Change tonnage from St. Lous in Cell D7 to 1,700. How doyou expect location of facility to change? Try using Solver.
3. Change tonnage from St. Lous in Cell D7 to 2,700. How doyou expect location of facility to change? Try using Solver.
Module1
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