Four qualified postgraduate students are to be allocated to four professors. The preference given by student (scale 1-10) is shown as table below. Student A D Professor James 6. 4 6. Jordan 6. 4 6. Janet 7 8 Jessy 6. 8. (a) Formulate a linear programming model for the problem. [NOTE: Please use x where i= 1, 2,..,n -Professor and j=1, 2,..., m -Student to represent your decision variables.] (b) From the output below, what is the optimal allocation plan and what is the total preference scales obtained from the allocation plan? Model Variable Original Value Final Value Value x11 1 Value x12 1 Value x13 1 Value x14 1 Value x21 1 Value x22 1 1 Value x23 1 Value x24 1 Value x31 1 Value x32 1 Value x33 1 1 Value x34 1 Value x41 1 Value x42 1 Value x43 1 Value x44 1 1 5567
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- Consider Bruno who manages an underwriting team in an insurance firm. Recently, the management of Bruno’s firm informed him of their decision to create a new risk assessment team, consisting of data scientists with machine learning expertise, and reduce the size of Bruno’s underwriting team. Bruno’s underwriting team will now work with the new risk assessment team in order to determine whether to provide insurance to applicants Use the model of a firm’s technology choice and graphically illustrate the management’s restructuring decision in a diagram with isocost curves. Your diagram should have the amount of human intelligence on the horizontal axis and the amount of artificial intelligence on the vertical axis. Fully label your diagram. Note that there are no actual numbers given in this question: you may make them up or simply use appropriate notations. Briefly explain the key information of your diagram.(d) A company has three factories. Each factory produces three different products (A, B and C). Factory 1 has a daily production capacity production of 8 units of A, 4 units of B and 8 units of C. Factory 2 has a daily production capacity of 6 units of A, 6 units of B and 3 units of C. Factory 3 has a production capacity of 12 units of A, 4 units of B and 8 units of C. The total demand for product A is 300 units, for product B is 172 units and for product C is 250 units. The daily operating cost for Factory 1 is $55 for Factory 2 is $60 and for Factory 3 is $50. How many days should each factory be operated in order to fill the total demand and the keep the operating cost at a minimum? (iv) (v) Identify the entering, departıng and pivot variables. Use the simplex method to determine the optimal tableau. Ensure that you explain each step in the computation. Identify the basic and non-basic variables. (vii) Identify the optimal solution. (vi)(d) A company has three factories. Each factory produces three different products (A, B and C). Factory 1 has a daily production capacity production of 8 units of A, 4 units of B and 8 units of C. Factory 2 has a daily production capacity of 6 units of A, 6 units of B and 3 units of C. Factory 3 has a production capacity of 12 units of A, 4 units of B and 8 units of C. The total demand for product A is 300 units, for product B is 172 units and for product C is 250 units. The daily operating cost for Factory 1 is $55 for Factory 2 is $60 and for Factory 3 How many days should each factory be operated in order to fill the total demand and the keep the operating cost at a minimum? (i) (ii) (iii) $50. Show a model that represents the company's problem. Write down the dual maximization problem. Write down the initial simplex tableau.