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Optimization using LP models Repco Pharmaceuticals (Ex 4.6) Ravi Krishna Ravula Dsc 8240.

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Presentation on theme: "Optimization using LP models Repco Pharmaceuticals (Ex 4.6) Ravi Krishna Ravula Dsc 8240."— Presentation transcript:

1 Optimization using LP models Repco Pharmaceuticals (Ex 4.6) Ravi Krishna Ravula Dsc 8240

2 Situation and Objective  Repco is a Drug Mfg company  It produces 3 drugs (A,B,C) and are sold @ $8, $70 and $100 respectively.  2 units of A are required to produceB  1 unit of B is required to produce C  Objective: Maximize sales revenue

3 Variables and Measures Input Variables: Required labor hrs to produce a unit Unit of a product used to produce another product Unit selling price of each drug. Output variables: Revenue from Sales. Amount of products sold Constraints: Amount produced = Amount used to produce other products + Amount sold Total labor hours available Goods used in producing another product cannot be sold. Decision Variables: Amount of goods produced (these are the trial values)

4 Mathematical formulation Labor hrs reqd to produce A = 1 hr. B = 2 + 2 = 4 hrs and C = 3 + 4 = 7hrs Unit of product used to produce another product. A B C A B C A 0 2 0 A 0 2 0 B 0 0 1 B 0 0 1 C 0 0 0 C 0 0 0 Amount of products sold = Units produced – Units used as inputs to produce other units Revenue from Sales = Sum of each Product unit selling price * amt of product sold

5 Spreadsheet model  The inputs are in the green box on the left side.  The grey shaded area has the ranges  The production plan is in orange colored cells.  The production plan includes the changing cells (units produced) and output cells (units sold)  The yellow cells show the Balance constraints  The red and blue cells show the Revenue (Target cell)

6 Using Solver After invoking the solver, and filling in the target cell (Revenue), changing cells (Units produced, sold) and the constraints, click on options and choose Non-negativity and linear model assumption.

7 Optimum Solution from Solver  Optimal Production A = 20 units, B =10 units.  Optimal revenue is $700  All units of A are used to produce B  Only product B is being sold.  Though C has the highest selling price it is not being formed because it involves larger labor requirements. (View in excel) View in excelView in excel

8 Sensitivity Analysis  To see how the optimal solution changes as we change one or more of the inputs  Solver table is invoked to perform sensitivity analysis.

9 One way table  Sensitivity of revenue, units produced and units used as inputs to product C selling price.  with the price of C at $130, there is a production of 5.714 units of C, resulting in revenue of $743.  Only product C is being sold.

10 Using a 2-way table  Sensitivity of amount of C produced to selling price of C and labor hour availability  Though there is an increase in labor hours there is no production in C till the price reaches $130

11  It was seen that though there is an increase in labor hours there is no production in C till the price reaches $130 as it was in the previous analysis.  B requires 4 labor hours and C needs 7 hours. Revenue of B for one unit is $70. when divided by Labor hours needed it shows that $17.50 is revenue per labor hour.  To earn more C should sell at a minimum of 7 * 17.50 = $122.50.


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