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Essay / Research Paper Abstract
This 8 page paper answers questions set by the student examining what types of statistical analysis would help with different types of timing and scheduling problems. The paper shows how to answer the questions and considers some of the potential tools and processes that can be used. The bibliography cites 7 sources.
Page Count:
8 pages (~225 words per page)
File: TS14_TEstatsq1.rtf
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Unformatted sample text from the term paper:
if the company ties itself into a contract for airfreight. There is a 180 week history of order size, which has never fallen below the minimum level that the air
fright company want to insist on being the minimum, in addition to the purchaser, which is a supermarket has said it will be consulting to order in the same pattern
in the future as long as the quality remains. If we want to analysis this quantitatively then we need to perform a mathematical companion between the different options. We can
start by looking at the cost we would have seen over the last 180 weeks with existing cost structure at 1200 per delivery. Weekly delivery(250 lots) (a) Occurrences (b)
Airfreight cost per occurrences (c) (b x 1200) Total costs for these occurrences (b x c) 4 14 4800 67200 5 36 6000 216000 6 80 7200 576000 7 34
8400 285600 8 16 9600 153600 Total cost 1298400 Now we can compare this. If we use a minimum delivery of 4, then the first 4 will be
charged at 900 and any over that at 1200. This will give us the following. Weekly delivery(250 lots) (a) Occurrences (b) Lower rate (c) Higher rate (d) Total
for each occurrence (e) (c+d) Total cost for each type of occurrence (b x e) 4 14 3600 0 3600 50400 5 36 3600 1200 4800 172800 6 80 3600
2400 6000 480000 7 34 3600 3600 7200 244800 8 16 3600 4800 8400 134400 Total 1082400 If we look at this we have an
immediate saving of 1,298,400 - 1,082,400 = 216,000. However there is also the opportunity for the minimum level to be set at 6 units per week, this means in
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