Reference no: EM132264108

Question No. 1 -100 words

1) The key to successfully complete the assignment is to define the variables and to develop the constraints to meet the conditions specified in the case study.

Question No. 2 - 100 words with reference.

2) Most adults say they would prefer to die at home. The minority actually does, but the trend is moving toward death in the home rather than the hospital. What do you think of the trend?

Question No.3 - please respond below answer with 150 words with reference.

3) This week we are being taught Linear Programing which is a tool used to Maximize or minimize the solution with minimal resources. While reviewing this week's forum it really got me thinking about the real-world application of this model and how we essentially use it in management on a weekly or bi monthly basis if we simply are discussing the scheduling benefits side of the example. When I would create the schedule, I generally had a good idea when the heavy traffic times were and what the least amount of foot traffic occurs. I had a set hour I could use per pay period and had to schedule accordingly. I need to mention that it was highly frowned upon to have any sort of overtime. Scheduling would get tricky when holidays came around because we would be given extra hours but no where near the amount needed to cover the shift. At the time I did not know there wasn't a model available to tell me how to optimize my coverage while utilizing the fewest hours.

Watching the video made more sense than the case study because in my opinion there was one right answer. How can you maximize your profit with the resources you had available? There was a set number of parts used to make each model car and a set profit amount for each separate model. The Model was a linear model and needed no non-negative constraints. Best solution showed making 14 Deluxe, 6 Normal, 5 Orange, and 0 Grey with a profit of $1,090. Even showed the slack left over. With the Case study we are having issues with the two different Over time options as well as the percentage of part time employee's vs full time employees. I am still working with my team on the case study to understand and be able to speak on it more but I can tell you the video was 100% more understandable. I knew exactly what the constraints were and what my objective was. All I had to do was plug and go and get the answer needed.

Question No. 4 - please respond below answer with 150words with reference.

For the case study assignment, I feel I have a workable grasp of the concepts for Linear Progression, however, in conducting the assignment I feel that I am short on my constraints. Regarding the Help File, it states that we should have 22 constraints in total, I am only able to come up with 19, and am not sure if they 100 percent accurate. My Constraints are as follows:
5) 9-10 am
6) 10-11am
7) 11-12am
8) 12-1 am
9) 1-2 am
10) 2-3 am
11) 3-4 am
12) 4-5 am
13) 5-6 am
14) 6-7 am
15) OT (from the Chase bank example I used 2OT1 +2OT2-2F<= 0)
16) PT 40%
17) PT Employees leaving at 1pm
18) PT Employees leaving at 2pm
19) PT Employees leaving at 3pm
20) PT Employees leaving at 4pm
21) PT Employees leaving at 5pm
22) PT Employees leaving at 6pm
23) PT Employees leaving at 7pm
24)
25) This puts me at 19 constraints vice the 22. I'm just wondering what I am missing here to make up the other two constraints. Also, for the Q values ( I figure that is where we account for 4-7 hours of part time work), I put the Q value at costing -$7.82 or exactly the opposite of a part time hourly rate. Is this accurate? I do not believe the number I have when I solve is optimal due to the fact that there is too much surplus hours. Looking at the Chase example, I feel their answer is limited by assuming only 4 hour shifts. That being said, I feel my answer should not be too far off theirs as the constraints in terms of max PT employee hours are the same, yet my answer is far larger than what they have derived.

Attachment:- Case study.rar