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Daily demand for a product is 100 units, with a standard deviation of 25 units. The review period is 10 days and the lead time is 6 days. At the time of review, there are 50 units in stock. If 98 percent service probability is desired, how many units should be ordered?

Short Answer

Expert verified

Answer

A measure of how far the members of a group vary from the group's mean value.

Step by step solution

01

Standard deviation of a collection of data

The standard deviation of a collection of datais a measure of its dispersion from the mean. It quantifies the absolute variability of a distribution; the larger the dispersion or variability, the greater thestandard deviation and the degree of the value's divergence from its mean.

02

Calculation of Optimum order quantity in the fixed-time period model

Given,

Daily demand for a product = 100 units

the standard deviation = 25 units

Review period = 10 days

lead time = 6 days

percent service probability = 98%

δL+T=leadtime×StandarddeviationδL+T=1625=100units

So, by considering 98% service probability, apply the formula NORMSINV (098). The value of z was obtained as 2.05.

Substitute the values in equation (1).

q=dT+L+³úδL+T-Iq=1006+9+2.05×100-50q=1,755units

So, 1755 units should be ordered to meet the requirement.

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Most popular questions from this chapter

Question: Develop an MRP planning schedule showing gross and net requirements and order release and order receipt dates.

Question: The following tabulations are actual sales of units for six months and a starting forecast in January.


ACTUAL
FORECAST
January
100
80
February
94

March
106

April
80

May
68

June
94

a. Calculate forecasts for the remaining five months using simple exponential smoothing with α= 0.2.

b. Calculate MAD for the forecasts.

: Actual demand for a product for the past three months was:

Three months ago

400 units

Two months ago

350 units

Last month

325 units

  1. Using a simple three-month moving average, make a forecast for this month.
  2. If 300 units were demanded this month, what would your forecast be for next month?
  3. Using simple exponential smoothing, what would your forecast be for this month if the exponentially smoothed forecast for three months ago was 450 units and the smoothing constant was 0.20?

Questions: What is the first step in CPFR?

Famous Albert prides himself on being the Cookie King of the West. Small, freshly baked cookies are the specialty of his shop. Famous Albert has asked for help to determine the number of cookies he should make each day. From an analysis of past demand, he estimates demand for cookies as

Demand

Probability of Demand

1,800 dozen

0.05

2,000

0.10

2,200

0.20

2,400

0.30

2,600

0.20

2,800

0.10

3,000

0.05

Each dozen sells for \(0.69 and costs \)0.49, which includes handling and transportation. Cookies that are not sold at the end of the day are reduced to $0.29 and sold the following day as day-old merchandise.

a. Construct a table showing the profits or losses for each possible quantity.

b. What is the optimal number of cookies to make?

c. Solve this problem by using marginal analysis.

See all solutions

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