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xlsx

School

University of Washington *

*We aren’t endorsed by this school

Course

487

Subject

Economics

Date

Feb 20, 2024

Type

xlsx

Pages

6

Uploaded by DukePantherPerson793

Report
Hour wages and hours worked per day Wage Full Time 750 Part Time 300 Number of Workers Cost per Worker FT 10am Lunch 12.6 750 9450 100.8 FT 11am Lunch 0.0 750 0 0 FT Noon Lunch 0.0 750 0 0 FT 5pm Dinner 0.0 750 0 0 FT 6pm Dinner 0.0 750 0 0 FT 7pm Dinner 10.0 750 7500 80 PT start at 7am 12.5 300 3750 50 PT start at 8am 7.5 300 2250 30 PT start at 9am 0 300 0 0 PT start at 10am 0 300 0 0 PT start at 11am 0 300 0 0 PT start at Noon 0 300 0 0 PT start at 1pm 0 300 0 0 PT start at 2pm 0 300 0 0 PT start at 3pm 0 300 0 0 PT start at 4pm 10 300 3000 40 PT start at 5pm 0 300 0 0 PT start at 6pm 0 300 0 0 PT start at 7pm 15 300 4500 60 Numbers of workers on and each hour 7am-8am 8am-9am 9am-10am 10am-11am FT 10am Lunch 1 1 1 FT 11am Lunch 1 1 1 1 FT Noon Lunch 1 1 1 1 FT 5pm Dinner FT 6pm Dinner FT 7pm Dinner PT start at 7am 1 1 1 1 PT start at 8am 1 1 1 PT start at 9am 1 1 PT start at 10am 1 PT start at 11am PT start at Noon
PT start at 1pm PT start at 2pm PT start at 3pm PT start at 4pm PT start at 5pm PT start at 6pm PT start at 7pm 25.1 32.6 32.6 20 >= >= >= >= Recurred 25 25 25 20
TOTAL COST 30450 11 noon noon - 1 1-2pm 2-3pm 3-4pm 4-5pm 5-6pm 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 Q. Use excel solver to set up a minimum labor cost staffing anything? Justify your responses in a note embedded in the Yes, this schedule is risky due to lack of potential labor shortag to meet the minimum number of employees required on the war absences or if the staffing levels are not sufficient to handle the Additionally, the corporate policy limiting part-time hours to 50 compliance. It's important to consider the potential impact of thi compliance while meeting operational needs. In terms of potential changes, it may be beneficial to consider im potential staffing challenges. This could involve cross-training e adjusting part-time schedules to optimize staffing levels while a predictive analytics could help in forecasting staffing needs mor Overall, while the current schedule meets the minimum staffing measures and considering adjustments to ensure operational effi
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1 1 1 1 1 1 1 1 1 1 1 1 1 1 20.1 12.6 12.6 22.6 22.6 20 20 >= >= >= >= >= >= >= 20 10 10 10 10 20 20
6-7pm 7-8pm 8-9pm 9-10pm 10-11pm 50% Constraints -8 -8 -8 1 1 1 1 1 -8 1 1 1 1 -8 1 1 1 1 -8 4 4 4 4 4 4 g schedule for the CDC warehouse. How risky is this schedule? Would you want to change e excel sheet as a text box.  ges, overtime costs, and compliance with labor laws and corporate policies. The schedule appears rehouse floor for each hour of the day. However, potential risks arise if there are unexpected workload, leading to operational disruptions or increased overtime costs. 0% of the day's total hours worked is a factor that needs to be carefully managed to ensure is policy on the overall staffing schedule and whether adjustments are needed to maintain mplementing a more flexible scheduling system to accommodate fluctuations in demand and employees to cover multiple roles, implementing contingency plans for unexpected absences, or adhering to the 50% hour limit. Furthermore, leveraging workforce management tools and re accurately, reducing the risk of labor shortages, and optimizing labor costs. g requirements, it's important to assess and mitigate potential risks by implementing proactive iciency and compliance with labor regulations.
4 4 1 4 1 1 4 1 1 1 4 1 1 1 1 4 1 1 1 1 4 20 25 25 25 25 180 >= >= >= >= >= <= 20 20 25 25 25 180.4
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