In: Operations Management
Outtel manufactures tablet computers. These tablet computers are manufactured in Seattle, Columbus, and New York and shipped to retail stores in Pittsburgh, Austin, Denver, Los Angeles and Washington D.C. These retail stores require 420, 290, 320, 510, and 370 tablet computers, respectively. Seattle plant can manufacture up to 720 tablet computers. Columbus plant can manufacture up to 670 tablet computers, and New York plant can manufacture up to 590 tablet computers. Shipping costs per tablet computer between plants and retail stores are given in the following table: Retail Store Plant Pittsburgh Austin Denver Los Angeles Washington Seattle $10.5 $12.6 $7.2 $6.4 $9.8 Columbus $3.6 $18.1 $9.6 $10.6 $5.7 New York $2.9 $17.5 $10.1 $12.4 $3.2 a) Develop a network representation of this problem. b) Formulate a linear programming model that can be used to determine the amount that should be shipped from each plant to each retail store to minimize the total cost. (Write the complete model for the problem. Make sure to give clear definitions of your decision variables). c) Solve the problem by using Excel Solver (Hand-in the one-page value and one-page formulas printouts for the problem).
a)
b) Decision variables
XSP = units shipped from Seattle to Pittsburgh
XSA = units shipped from Seattle to Austin
XSD = units shipped from Seattle to Denver
XSL = units shipped from Seattle to LosAngeles
XSW = units shipped from Seattle to Washington DC
XCP = units shipped from Columbus to Pittsburgh
XCA = units shipped from Columbus to Austin
XCD = units shipped from Columbus to Denver
XCL = units shipped from Columbus to LosAngeles
XCW = units shipped from Columbus to Washington DC
XNP = units shipped from NewYork to Pittsburgh
XNA = units shipped from NewYork to Austin
XND = units shipped from NewYork to Denver
XNL = units shipped from NewYork to LosAngeles
XNW = units shipped from NewYork to Washington DC
Objective function: Minimize the total cost of shipping
Suject to supply constrains of plants, demand constraints of retail stores and non-negativity contraints
c)