Answer:
Total= 3,120 units
Explanation:
Giving the following information:
production budget:
January= 3,000 units
February= 4,200 units
March= 5,000 units
The company wants to end each month with ending finished goods inventory equal to 10% of the next month’s sales.
Beginning inventory= 300 units.
To calculate the production for any month, we need to use the following formula:
Production= sales + desired ending inventory - beginning inventory
<u>January:</u>
Sales= 3,000
Desired ending inventory= (4,200*0.1)= 420
Beginning inventory= (300)
Total= 3,120 units
Answer:
The optimal stocking level for the bakery is cakes 27.
Explanation:
Cost c = $ 7
Selling price p = $ 10
salvage value s = $ 5
Mean = 25
Standard deviation \sigma = 8
Cu = underage cost
= p-c
= $10 - $7
= $3
Co = overage cost
= c-s
= $7 - $5
= $2
P\leq C_{u}/(C_{u}+C_{o})
P\leq3/(3+2)
= 0.6
By using normsinv() function in excel we to find the correct critical value
The Z value for the probability 0.6 is 0.2533
The optimal stocking level is
=\mu +z\sigma
= 25 + 0.2533 *8
= 27.02
The optimal stocking level of bakery is 27.02
Therefore, The optimal stocking level for the bakery is cakes 27.
Answer:
2. Have both the buyer and seller sign required disclosures describing the designated sales agency relationship and stating that each the buyer and seller have assets of $1 million or more.
Answer:
Urgency / Postponement leads to customer inelastic demand of ice melt.
Explanation:
Elasticity of demand is responsive change in demand of good, due to change in price. Formula = % change in demand / % change in price
Factors Affecting Price Elasticity of Demand : Nature of commodity, Income, substitutes availability, time period, urgency / postponement, share in total expenditure,
Inelastic Demand is when demand responds proportionately less to price change. % change in demand < % change in price
Case 'Customer critically needs ice melt to drive to work' : This has inelastic demand i.e demand less respondent to price changes (he will buy that at high price too). Such because of the urgency of this demand & less scope of its postponement.
The simplest thing to do is to categorise your customers by their industries and send specified emails to a cluster of customers from each industry.
