lp bank+workers
TRANSCRIPT
Variable Definition
Employee Type Shift Worked Variable name
Full time 9:00am to 5:00pm x1
Full time 9:00am to 6:00pm x2
Full time 9:00am to 7:00pm x3
part time 9:00am to 1:00pm x4
part time 9:00am to 2:00pm x5
part time 9:00am to 3:00pm x6
part time 9:00am to 4:00pm x7
part time 10:00am to 2:00pm x8
part time 10:00am to 3:00pm x9
part time 10:00am to 4:00pm x10
part time 10:00am to 5:00pm x11
part time 11:00am to 3:00pm x12
part time 11:00am to 4:00pm x13
part time 11:00am to 5:00pm x14
part time 11:00am to 6:00pm x15
part time Noon to 4:00 pm x16
part time Noon to 5:00 pm x17
part time Noon to 6:00 pm x18
part time Noon to 7:00 pm x19
part time 1:00pm to 5:00pm x20
part time 1:00pm to 6:00pm x21
part time 1:00pm to 7:00pm x22
part time 2:00pm to 6:00pm x23
part time 2:00pm to 7:00pm x24
part time 3:00pm to 7:00pm x25
ModelObjective Function:Minimize (x1+x2+x3)*8*10.11+(x2+2x3)*8.08+7.82*(4x4+5x5+6x6+7x7+4x8+5x9+6x10+7x11+4x12+5x13+6x14+7x15+4x16+5x17+6x18+7x19+4x20+5x21+6x22+4x23+5x24+4x25)
Subject toConstraintx1+x2+x3+x4+x5+x6+x7>=14x1+x2+x3+x4+x5+x6+x7+x8+x9+x10+x11>=250.5*x1+0.5*x2+0.5*x3+x4+x5+x6+x7+x8+x9+x10+x11+x12+x13+x14+x15>=260.5*x1+0.5*x2+0.5*x3+x4+x5+x6+x7+x8+x9+x10+x11+x12+x13+x14+x15+x16+x17+x18+x19 >=38x1+x2+x3+x5+x6+x7+x8+x9+x10+x11+x12+x13+x14+x15+x16+x17+x18+x19+x20+x21+x22 >=55x1+x2+x3+x6+x7+x9+x10+x11+x12+x13+x14+x15+x16+x17+x18+x19+x20+x21+x22+x23+x24 >= 60x1+x2+x3+x7+x10+x11+x13+x14+x15+x16+x17+x18+x19+x20+x21+x22+x23+x24+x25 >= 51x1+x2+x3+x11+x14+x15+x17+x18+x19+x20+x21+x22+x23+x24+x25 >= 29x2+x3+x15+x18+x19+x21+x22+x23+x24+x25 >= 14x3+x19+x22+x24+x25 >= 9
(x4+x5+x6+x7+x8+x9+x10+x11+x12+x13+x14+x15+x16+x17+x18+x19+x20+x21+x22+x23+x24+x25)<= 0.4*(x1+x2+x3+x4+x5+x6+x7+x8+x9+x10+x11+x12+x13+x14+x15+x16+x17+x18+x19+x20+x21+x22+x23+x24+x25)xi>=0xi are integer.
Solution Using Excel.:Employee Type Shift Worked Variable name
Full time 9:00am to 5:00pm x1 17
Full time 9:00am to 6:00pm x2 0
Full time 9:00am to 7:00pm x3 9
part time 9:00am to 1:00pm x4 0
part time 9:00am to 2:00pm x5 0
part time 9:00am to 3:00pm x6 0
part time 9:00am to 4:00pm x7 0
part time 10:00am to 2:00pm x8 0
part time 10:00am to 3:00pm x9 0
part time 10:00am to 4:00pm x10 0
part time 10:00am to 5:00pm x11 0
part time 11:00am to 3:00pm x12 9
part time 11:00am to 4:00pm x13 4
part time 11:00am to 5:00pm x14 0
part time 11:00am to 6:00pm x15 0
part time Noon to 4:00 pm x16 16
part time Noon to 5:00 pm x17 0
part time Noon to 6:00 pm x18 0
part time Noon to 7:00 pm x19 0
part time 1:00pm to 5:00pm x20 0
part time 1:00pm to 6:00pm x21 0
part time 1:00pm to 7:00pm x22 0
part time 2:00pm to 6:00pm x23 5
part time 2:00pm to 7:00pm x24 0
part time 3:00pm to 7:00pm x25 0
Total Cost $3343.12 per day
2. What are the limitations of the model used to answer question 1?
Limitation: We assume that the variables have linear relationships, which may not be correct. While
adding more workers the extra worker added may have diminishing productivity for many reasons.
The productivity of full time and part time workers may not be same for reasons such as motivation, benefits etc.
The part time workers may have differential wages based on what period of the day they are working.
3. Costs might be reduced by relaxing the constraint that no more than 40% of the day’s requirement be met by part-timers. Would changing the 40% to a higher value significantly reduce costs?
Yes. Since part time workers are relatively cheaper as compared to full time workers cost can be reduced by eliminating the constraint. But for the reasons given in above quation, it may not be practicable or there may be other qualitative issues. Mathematically it is possible, if we relax the condition to 50%, the cost can be reduced to 3149.60
4. What’s you conclusion and recommendation for the overall case study?
Overall: A combination of full time and part time workers would leads to better management of workers and would reduce the cost. The costs can be further reduced by relaxing the constraint on part time workers.