The number of procedures by type and data about rev/costs. The summary section, includes a change area, which shows the difference between the current.

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The number of procedures by type and data about rev/costs. The summary section, includes a change area, which shows the difference between the current budget amounts and the optimal solution. Below is the data about the components and supplies used and available for each procedure type.

1.The change in Set Objective to the C15 cell. 2.The Changing Variable Cells remain the same, since this is a count of how many procedures can be performed. 3.The constraint to only allow whole numbers remains. 4.The limiting constraint of ‘no less than 100 procedures of each type’ can be removed or left in place. The constraint can be changed to “> = 0” rather the “> = 100”. Again this is based on the assumptions made by the student about the practice exercise requirements. 5.The limiting constraint of 600 Procedures, can be removed or changed from “=“ to “> =“ which depends on assumptions made by the student about the practice exercise requirements. Can be “> = 600”, or “> = 0”. 6.The constraint on the available Medical Components is required, because this prevents the solution from going into negative values in the amount of current supplies. This is the original Solver Parameters settings from the practice exercise. This is the minimum Solver Parameters settings. Results

1.The Set Objective is still on the C15 cell. 2.The Changing Variable Cells remain the same, since this is still a count of how many procedures can be performed. 3.The constraint to only allow whole numbers remains. 4.The limiting constraint of ‘a minimum of 100 procedures of each type’ can be added, or changed back to 100, if it had been changed to 0. 5.The limiting constraint of 600 Procedures, can be removed or changed from “=“ to “> =“ which depends on assumptions made by the student about the practice exercise requirements. It may have been included with “> = 0” from exercise 1. 6.The constraint on the available Medical Components needs to be changed to accommodate the new requirements. The request is that as many surgical sets as possible be used, therefore, the three cells I24-I26 need to be set to “> = 0” so that Solver will try and use all of them. The other constraint, that Anesthetic kits not run out, means that the cell I27 needs to be constrained to not go below zero value, using “> = 0”, will do this. Both requirements can be accommodated in one constraint, I24-I27 > = 0. The student may also use two constraints. The Solver solution was able to use all but 5 of the Surgical Kits, with out running out of Anesthetic. The student can report the supplies needed as shown in Red.

1.The Set Objective is still on the Procedures Scheduled, cell C15. 2.The To: function is now Min for Minimize. 3.The Changing Variable Cells remain the same, since this is still a count of how many scheduled procedures to perform. 4.The constraint to only allow whole numbers remains for the procedures. 5.The limiting constraint on Net Income, cell C20 needs to be added, and should be “> = 0” to get as close to break even as possible. 6.The constraint on the available Medical Components needs to be set to only use the available supplies that are on hand, either added back or updated for range I24 to I37 to be “> = 0”. 7.The limiting constraint of ‘a minimum of 100 procedures of each type’ has been added for range B5 to E5 or changed back to 100, if it had been changed to 0. The Solver solution, when focused on Procedures Scheduled cell C15, was able to get close to break even, with Net Income of $1,694. The other requirements have been met, and the clinic would perform a mix of procedures totaling 548.

1.The Set Objective is still on the Net Income, cell C20. 2.The To: function is now Min for Minimize. 3.The Changing Variable Cells remain the same, since this is still a count of how many scheduled procedures to perform. 4.The limiting constraint of ‘a minimum of 100 procedures of each type’ has been added for range B5 to E5 or changed back to 100, if it had been changed to 0. 5.The constraint to only allow whole numbers remains for the procedures. 6.The limiting constraint on Net Income, cell C20 needs to be added, and should be “> = 0” to get as close to break even as possible and prevent negative income. 7.The constraint on the available Medical Components needs to be set to only use the available supplies that are on hand, either added back or updated for range I24 to I37 to be “> = 0”. The Solver solution, when focused on Net Income cell C20, was able to achieve break-even, with Net Income of $0. The other requirements have been met, and the clinic would perform a mix of procedures totaling 585.