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Q: Statistics Case Prpblem ( No Answer,   0 Comments )
Subject: Statistics Case Prpblem
Category: Reference, Education and News > Homework Help
Asked by: desperato-ga
List Price: $50.00
Posted: 19 Dec 2005 10:56 PST
Expires: 20 Dec 2005 17:24 PST
Question ID: 607495
Problem scenario - need response ASAP.

Jacksin?s Corp. produces four different lines of industrial grade
electro-mechanical products for commercial-industrial customers
world-wide. Each product order (or ?unit?) of production receives a
certain degree of customization, and the contract engineering is
accomplished by a local office staff of engineers and planners.
Jackson?s production facilities are divided into two plants. Plant 1
accomplishes metal working and metal finishing operations. Plant 2
accomplishes electrical sub-assembly, final assembly, pack and ship
operations. The company markets its products over the internet, and
advertises a fixed 4-week lead time for any product offering. All
products are shipped over ground, or by premium air-freight. Premium
shipping is paid by Jackson Corp.  if contracts go overdue. Jackson
releases a weekly work schedule to its factory on Thursday prior to
the upcoming production week. The order of operations is
{Office-contract engineering} ? {Plant 1 metal fab and finish} ?
{Plant 2-electircal assembly, final assembly, pack and ship}. Jackson
unit revenue is $35,000 on average, and unit profit margin at current
overhead rates is $3,350.  Premium air freight for these products
averages $5,450 per unit.

A quick look at the lower table of given data shows that in most weeks
of a recent quarter, Jackson missed many of its shipping commitments.
In week 1, there was a carry-forward of 22 overdue units from the last
week of the previous quarter.

The general manager feels that he has an absenteeism problem, and
therefore data is provided that shows the number of man-days of
unscheduled leave / unauthorized absence that was recorded in each
plant and in the office each week of the same quarter. The manning for
the quarter in each plant and the office is as shown (Full time
equivalents, FTEs).

At minimum, you must explain to the client the following:

 -how the problem will be completely investigated (the ?how to
investigate? should be validated)
-methods that will be used to assure reliability of results and recommendations
       What is the random variable?  Which  Non-parametric method and why?
       Note:  office labor is ahead of the factory labor.  Construct a
new spreadsheet and line up the office labor with the right factory
Use data to gain advance notice of future missed shipments.
What is relationship of absenteeism to missed/late shipments?

	Man-days absent						
Week	Plant 1	Plant 2	Office		Full-time Equivalent Personnel (FTEs)
1	10	21	6		Plant 1	554		
2	131	46	2		Plant 2	448		
3	53	33	5		Office	154		
4	37	31	11					
5	59	49	12					
6	29	33	6					
7	45	39	15					
8	26	19	8					
9	39	12	4					
10	36	35	9					
11	41	28	11					
12	49	16	15					
13	32	22	12					
Weekly Work Schedule Vs Actual Shipments				
Week	WWS	SHIPPED	#Ahead (Behind)					
1	340	350	-12					
2	449	400	-61					
3	388	402	-47					
4	370	422	5					
5	400	402	7					
6	398	403	12					
7	421	380	-29					
8	388	417	0					
9	401	399	-2					
10	378	380	0					
11	392	403	11					
12	402	280	-111					
13	387	350	-148					

Provide full details and explanation with all calculations.
There is no answer at this time.

There are no comments at this time.

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