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Scenario:

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.

 

B. ???? Memorandum

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. 

SWI511 – Integrated Projects

Project 1: Integrating Word and Excel – 20% /40 Marks

Scenario:

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: )

A. Pivot Tables and Pivot Charts

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 )

B. Memorandum

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

,

Sheet1

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

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