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plz provide the GUSEK codes as welll. These are important. plz solve quickly! (10 points) Page 455, Problem 5 part (a). Provide: LP model (including
plz provide the GUSEK codes as welll. These are important.
plz solve quickly!
(10 points) Page 455, Problem 5 part (a). Provide: LP model (including definition of vari- ables), optimal solution, optimal objective value, and screenshots of Gusek codes and outputs. Oilco has oil fields in San Diego and Los Angeles. The San Diego field can produce 500,000 barrels per day, and the Los Angeles field can produce 400,000 barrels per day. Oil is sent from the fields to a refinery, in either Dallas or Houston (assume each refinery has unlimited capacity) To refine 100,000 barrels costs $700 at Dallas and $900 at Houston. Refined oil is shipped to customers in Chicago and New York. Chicago customers require 400,000 barrels per day, and New York customers require 300,000 barrels per day. The costs of shipping 100,000 barrels of oil (refined or unrefined) between cities are shown in Table 35. a Formulate an MCNFP that can be used to determine how to minimize the total cost of meeting all demands. TABLE 35 To($) From Dallas Houston New York Chicago Los Angeles 300 110 - San Diego 420 100 - Dallas - 450 550 Houston 470 530 (10 points) Page 455, Problem 5 part (a). Provide: LP model (including definition of vari- ables), optimal solution, optimal objective value, and screenshots of Gusek codes and outputs. Oilco has oil fields in San Diego and Los Angeles. The San Diego field can produce 500,000 barrels per day, and the Los Angeles field can produce 400,000 barrels per day. Oil is sent from the fields to a refinery, in either Dallas or Houston (assume each refinery has unlimited capacity) To refine 100,000 barrels costs $700 at Dallas and $900 at Houston. Refined oil is shipped to customers in Chicago and New York. Chicago customers require 400,000 barrels per day, and New York customers require 300,000 barrels per day. The costs of shipping 100,000 barrels of oil (refined or unrefined) between cities are shown in Table 35. a Formulate an MCNFP that can be used to determine how to minimize the total cost of meeting all demands. TABLE 35 To($) From Dallas Houston New York Chicago Los Angeles 300 110 - San Diego 420 100 - Dallas - 450 550 Houston 470 530Step by Step Solution
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