Hi There,

Please assist with the attached tutorial.

Regards,

QUESTION 1 11 A company manufactures two (2) products A and B, which sells for R40 QUESTION 2 ectively. These prices are constant and The state of Missouri has three major power-generating companies (A, B. and C). During the months of peak demand, the Missoun Powe supposed that any produced quantity can be sold. For the manufacturing of these products four types of raw materials are required. The prices of to smaller large companies dependent power companies that da npanies that do not have generators lar the corresponding available quantities within a day Product type and enough to handle the demand. Excess supply is distributed on the basis of given in the following table. cost per kilowatt hour transmitted. The following table shows the and supply in millions of kilowatt hours and the cost per kilowatt hour of s the demand Raw Material Unit Price Products Available transmitting electric power to four small companies in cities W, X, Y, and Z: (Rand) raw material FROM/TO W X Y Z EXCESS SUPPLY 270 R12 R4 R9 R5 55 R8 R1 R6 R6 45 150 UNFILLED R1 R12 R4 R7 30 POWER 40 20 50 20 we started of each prog should be produced in order to achieve the highest profit. DEMAND Formulate a Linear Programming (LP) model that will maximize the profit Find an initial basic transmission solution of the exc the North West Corner Rule. cess power supply using b. Solve this LP using the graphical method. Determine whether an improved cost solution can be obtained for the state of Missouri using the u-y method. C. Determine the slack value for each of the constraints? Meant Maximize 2.2 One of our best customers has had a major plant breakdown and wants us 1.2 The time to complete a construction project is normally distributed with a to make as many widgets for him as possible during the next few mean of 80 weeks and a variance of 64 weeks. there are several ways to make widgets (ignoring costs). Any sequence of What is the probability that the project will be finished in 85 weeks or activities that takes one from node 1 to node 6 in the Figure below will produce a widget. Quantities given in the figure are number of widgets per What is the probability that the project will take longer than 90 weeks? What is the probability that the project will finish between 87 weeks and 90 weeks? n we produce per day? (15