As a sale manager you can retrieve the first profit by other mean, including decreasing cost in administration (redundancy). Admin cost = 25000 Drop profit = 1285.8787 New admin cost = 23714.1213 That means the administration cost will be reduce at about 5.14 %. Task6 Consider the effects of the following deviations upon the Master Budget: 1. A 2.5% increase in materials costs 2. A 6% increase in Electricity costs.
The plan is amended by the company, a move which causes a decrease in the projected benefit obligation. 23. The Aberdeen Company maintains a defined benefit pension plan for its employees. On January 1, Year Four, this pension plan is amended so that employees can retire at the age of 64 rather than 65. As a result of this decision, the projected benefit obligation on that date increases by $2 million.
The Clean Clothes Laundry Corner Shawn Morris MG585 - Managerial Decisions September 20, 2013 Dr. John Theodore The Clean Clothes Laundry Corner (A) What is Molly’s current monthly volume? Molly’s fixed costs are $1,700 per month, and her variable costs are $0.25 per item, in which Molly is charging $1.10 per clothing item. Molly’s current monthly volume is 2,000 items. The answer was derived by using the following equation: $1,700 ÷ (1.1 – $0.25) = 2000 (B) If Molly purchases the new equipment, how many additional items will she have to dry-clean each month to break even? Using information given in question C, the $16,200 in new machinery will be divided up over 36 months.
Currently the organization expects that their forecast for labor requirements is essentially constant from the previous year. This means the forecast for next year will be taken as given. b. Fill in the empty cells in the forecast of labor availabilities in Table 1.1. Transition probability matrix | Current year | | (1) | (2) | (3) | (4) | (5) | Exit | Previous year | (1) Store associate | 0.53 | 0.06 | 0.00 | 0.00 | 0.00 | 0.41 | | (2) Shift leader | 0.00 | 0.50 | 0.16 | 0.00 | 0.00 | 0.34 | | (3) Department manager | 0.00 | 0.00 | 0.58 | 0.12 | 0.00 | 0.30 | | (4) Assistant store manager | 0.00 | 0.00 | 0.06 | 0.46 | 0.08 | 0.40 | | (5) Store manager | 0.00 | 0.00 | 0.00 | 0.00 | 0.66 | 0.34 | | | Forecast of availabilities | Next year (projected) | | (1) | (2) | (3) | (4) | (5) | Exit | | | Current Workforce | | | | | | | Previous year | (1) Store associate | 8,500 | 4505 | 510 | 0 | 0 | 0 | 3485 | | (2) Shift leader | 1,200 | 0 | 648 | | | | | | (3) Department manager | 850 | 0 | | 544 | | | | | (4) Assistant store manager | 150 | 0 | | | 78 | | | | (5) Store manager | 50 | 0 | | | | 33 | | | | | | | | | | Gap analysis | Next year (projected) | | | | (1) | (2) | (3) | (4) | (5) | | Year end total(column sum) | 4505 | | | | | | External hires needed (current workforce-total) | 3995 | | | | | c. Conduct an
Management 451 5/9/2012 Tanglewood Case 2 This report contains the historical staffing data from two divisions of Tanglewood in the Washington State area, spanning the last five years. The data is presented using the transitional probability matrix. I will use the previous year’s staffing patterns as a preliminary forecast for; labor requirement, internal availability (based on retention), internal promotions, transfers and demotions. This simply means, I am going to compute the year end totals and perform a gap analysis to determine where the staffing shortages will occur next year. I will then conduct an environmental scan of the area; this will help determine if Tanglewood might have any difficulties filling their hiring needs.
(Points : 24) Question 1. 1. (TCO E) Management at New England Life wants to establish the relationship between the number of sales calls made each week (CALLS, X) and the number of sales made each week (SALES, Y). A random sample of 18 life insurance salespeople were surveyed yielding the data found below. CALLS SALES PREDICT 57 18 50 18 2 100 61 18 48 14 58 17 48 13 29 9 43 12 51 17 32 12 59 21 32
Tanglewood Case 1. According to the Tanglewood’s staffing data we know future HR requirements the numbers of employees that the organization will need in the future to produce its goods and services. Based on the data, we can estimate they need 8500 store associate, 1200 individuals to work as shift leaders, 850 individuals as department manager, 150 individuals as Assistant store manager, 50 individuals as store manager for the coming years. There are two parts that the company will concern about; one is internal workforce, other one is external workforce. The numbers of current employees will be available in the future, but the company is concerned with the exit of employees from the organization.
The Branch table stores the start date of each manager. Create a query to determine how many years each manager has worked for the bank: (1) Add a new field to calculate the number of weeks of vacation each manager is eligible to take. (2) Use a nested IIf function to change the weeks of vacation to zero for any employee with a start date later than today. (3) Change the format of each field to the appropriate type, and then add appropriate captions for the calculated fields. (4) Save the query as Vacation.
According to my calculation the project is a total of 695 days, ending on March 27th, 2014, which is in time for the May 20, 2014. At this trajectory, we are looking at 54 calendar days ahead of schedule. The project can be completed before the May 20 deadline. 2. What is the critical path for the project?
The data is read as follows: • The total demand for the six months is 4650 units. • The current inventory is 50 and • The target inventory for the end of the six month is 25, • This is where we have to reduce the required production for the six months So, we have no we should have 4625, brought on by (4650-25). The rest of the formula goes like this: 4625/ 6 months = 771. And this will be the required number of pumps needed monthly. Next is the number of pumps one employee can produce in one month.