You work for a small manufacturing company called Textiles Group that produces batting (cotton filling material) for products such as mattresses, blankets, quilts, etc.The company has six different production lines and has three different work shifts. They run the factory 24 hours per day, 7 days a week.Due to some production problems, you are asked to provide different analyses of the weekly data downloaded from the company’s custom ERP (Enterprise Resource Planning) software. You download last week’s production data that provides the production details from Sunday to Saturday.
When you have finished your data analysis, compose a memorandum to all Plant Managers that summarizes the details of your different findings/analyses. Include the PivotTables as embedded objects in your memo to provide visuals of each of your analyses.Note: If memo goes onto two pages or more, please include an appropriate continuation page header.Be sure to include all the criteria provided in the marking sheet/checklist below and upload your files where indicated in the project submission area.
NOTE: please look at the microsoft word document titled project for the complete assignment guide. the assignment requires two to be submitted, one for excel attached below and create a new Microsoft word for the memorandum.
Project 1: Integrating Word and Excel – 20% /40 Marks
You work for a small manufacturing company called Textiles Group that produces batting (cotton filling material) for products such as mattresses, blankets, quilts, etc.
The company has six different production lines and has three different work shifts. They run the factory 24 hours per day, 7 days a week.
Due to some production problems, you are asked to provide different analyses of the weekly data downloaded from the company’s custom ERP (Enterprise Resource Planning) software. You download last week’s production data that provides the production details from Sunday to Saturday.
( How to Begin: )
Download, review, and save the Production Excel file (production.xlsx) to begin . You will use this file for your project.
( Next Steps: )
Summarize/analyze the data in two different ways using PivotTables and Pivot Charts.
· Be sure your PivotTable numbers are formatted properly (eg. Currency style, etc.)
· Be sure your charts are formatted attractively and include key elements.
· Your analyses should be located in separate sheets within your Excel workbook.
( 1 | P a g e )
When you have finished your data analysis, compose a memorandum to all Plant Managers that summarizes the details of your different findings/analyses. Include the PivotTables as embedded objects in your memo to provide visuals of each of your analyses.
Note: If memo goes onto two pages or more, please include an appropriate continuation page header.
Be sure to include all the criteria provided in the marking sheet/checklist below and upload your files where indicated in the project submission area.
Criteria to be Included:
Item
Marks
☐
Composed a detailed memo that outlines the purpose of the Excel analyses:
· professional composition/writing skills applied
· appropriate subject line
· relevant summary of each Excel analysis
/10
☐
Formatted a memo using proper formatting rules.
· proper spacing
· proper guide words
· continuation page header included if required
/5
☐
Analysis 1: PivotTable used and PivotChart created that appropriately analyzes the data
/5
☐
Analysis 2: PivotTable used and PivotChart created that appropriately analyzes the data
/5
☐
All PivotTables and Pivot Charts are formatted properly to include key elements such as correct number formatting, axis labels, legends, title, data labels, etc.
/5
☐
Insert each PivotTable as an embedded object into the appropriate sections in your memo.
· inserted as embedded objects
· sized consistently in memo
/10
☐
TOTAL
/40
☐
-2 additional marks for spelling/grammar errors up to a maximum of -10 marks
,
Production Line
Shift
Date
Lbs (pounds) Produced
Row Labels
Sum of Lbs (pounds) Produced
Line 1
Day
22-May-22
2400
Line 1
4959
Line 1
Day
24-May-22
1500
Line 2
6414
Line 1
Day
25-May-22
300
Line 3
33173
Line 1
Day
26-May-22
360
Line 4
40812
Line 1
Day
27-May-22
199
Line 5
49927
Line 1
Day
28-May-22
200
Line 6
1547
Line 2
Afternoon
22-May-22
1100
Grand Total
136832
Line 2
Afternoon
24-May-22
700
Line 2
Afternoon
25-May-22
320
Line 2
Afternoon
26-May-22
136
Line 2
Afternoon
27-May-22
263
Line 2
Afternoon
28-May-22
214
Line 2
Day
22-May-22
600
Line 2
Day
23-May-22
400
Line 2
Day
24-May-22
650
Line 2
Day
25-May-22
195
Line 2
Day
26-May-22
300
Line 2
Day
27-May-22
205
Line 2
Day
28-May-22
21
Line 2
Midnight
24-May-22
350
Line 2
Midnight
25-May-22
230
Line 2
Midnight
26-May-22
205
Line 2
Midnight
27-May-22
235
Line 2
Midnight
28-May-22
290
Line 3
Afternoon
22-May-22
500
Line 3
Afternoon
24-May-22
2500
Line 3
Afternoon
25-May-22
1900
Line 3
Afternoon
26-May-22
1900
Line 3
Afternoon
27-May-22
1905
Line 3
Afternoon
28-May-22
2563
Line 3
Day
22-May-22
200
Line 3
Day
24-May-22
2100
Line 3
Day
25-May-22
2310
Line 3
Day
26-May-22
1300
Line 3
Day
27-May-22
3000
Line 3
Day
28-May-22
0
Line 3
Midnight
24-May-22
2100
Line 3
Midnight
25-May-22
2602
Line 3
Midnight
26-May-22
3606
Line 3
Midnight
27-May-22
2000
Line 3
Midnight
28-May-22
2687
Line 4
Afternoon
22-May-22
2001
Line 4
Afternoon
24-May-22
2500
Line 4
Afternoon
25-May-22
3000
Line 4
Afternoon
26-May-22
2560
Line 4
Afternoon
27-May-22
2501
Line 4
Afternoon
28-May-22
3000
Line 4
Day
22-May-22
2000
Line 4
Day
24-May-22
2200
Line 4
Day
25-May-22
1000
Line 4
Day
26-May-22
2400
Line 4
Day
27-May-22
3000
Line 4
Day
28-May-22
0
Line 4
Midnight
24-May-22
3000
Line 4
Midnight
25-May-22
2650
Line 4
Midnight
26-May-22
3500
Line 4
Midnight
27-May-22
2500
Line 4
Midnight
28-May-22
3000
Line 5
Afternoon
22-May-22
2600
Line 5
Afternoon
24-May-22
3000
Line 5
Afternoon
25-May-22
3020
Line 5
Afternoon
26-May-22
2960
Line 5
Afternoon
27-May-22
2980
Line 5
Afternoon
28-May-22
2656
Line 5
Day
22-May-22
2500
Line 5
Day
24-May-22
2300
Line 5
Day
25-May-22
3002
Line 5
Day
26-May-22
2659
Line 5
Day
27-May-22
3500
Line 5
Day
28-May-22
3050
Line 5
Midnight
24-May-22
3100
Line 5
Midnight
25-May-22
2900
Line 5
Midnight
26-May-22
3650
Line 5
Midnight
27-May-22
3000
Line 5
Midnight
28-May-22
3050
Line 6
Day
22-May-22
100
Line 6
Day
24-May-22
130
Line 6
Day
25-May-22
130
Line 6
Day
26-May-22
135
Line 6
Day
27-May-22
196
Line 6
Day
28-May-22
206
Line 6
Midnight
24-May-22
120
Line 6
Midnight
25-May-22
123
Line 6
Midnight
26-May-22
126
Line 6
Midnight
27-May-22
125
Line 6
Midnight
28-May-22
156