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Question 2: ) Refer to the table below. If the hospital now wants to focus on customer perceptions of quality. Reassign the nursing staff to

Question 2: ) Refer to the table below. If the hospital now wants to focus on customer perceptions of quality. Reassign the nursing staff to obtain the highest customer approval rating possible (a perfect score is 100). The same conditions (constraints) apply: that is, 1) every nurse must work, and 2) every patient must be taken care of. What is the average rating? Indicate your assignment clearly. [steps: 1.5 ptfilling below matrixes; final assignment 0.5pts, average rating 0.5pts]

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Question 3: (continued from 17-2)

a) If now only the constraint of every nurse must work is lifted (meaning the other constraint remains), re-assignment to maximize the ratings. Show your assignment clearly. Who (i.e., which nurse) doesnt need to work? What is the average rating? (You can make use of your last matrix in 17-2 and just re-assign. Please copy your last matrix in 17-2 below). Point breakdown: Copy the last matrix-0.1pps; assignments:0.2pts; Nurse ________ not working (0.1pt); average rating: ________ (0.1pt)

b) If now only the constraint of every patient must be taken care of is lifted (meaning the other constraint remains), re-assignment to maximize the ratings. Show your assignment clearly. Which patient is not take care of? What is the average rating? (You can make use of your last matrix in 17-2 and just re-assign). Please copy your last matrix 17-2 below). Point breakdown: Copy the last matrix-0.1pps; assignments:0.2pts; Patient ________ not being taken care of (0.1pt); average rating: ________ (0.1pt)

Rating Nurse Patient Nurse 2 Nurse 3 Nurse 4 1 Jones 89 95 83 84 Hathaway 88 80 96 85 Bryant 87 92 82 84 Sweeney 93 82 86 94 Step 1: Row reduction Step 3: Step 2: Column reduction Cover all zeros Step 4: Modify matrix Step 5: Repeat Step 3 &4 Rating Nurse Patient Nurse 2 Nurse 3 Nurse 4 1 Jones 89 95 83 84 Hathaway 88 80 96 85 Bryant 87 92 82 84 Sweeney 93 82 86 94 Step 1: Row reduction Step 3: Step 2: Column reduction Cover all zeros Step 4: Modify matrix Step 5: Repeat Step 3 &4

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