Practical Management Science
Practical Management Science
6th Edition
ISBN: 9781337406659
Author: WINSTON, Wayne L.
Publisher: Cengage,
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Using the data on call volume in the accompanying table, how would you forecast short-term demand?

**Table: Call Volume Over 16 Days**

This table presents data on call volume across a 16-day period. The first column indicates the day, while the second column shows the corresponding call volume for each day.

| Day | Call Volume |
|-----|-------------|
| 1   | 204         |
| 2   | 336         |
| 3   | 295         |
| 4   | 251         |
| 5   | 280         |
| 6   | 300         |
| 7   | 398         |
| 8   | 418         |
| 9   | 309         |
| 10  | 471         |
| 11  | 522         |
| 12  | 502         |
| 13  | 449         |
| 14  | 452         |
| 15  | 420         |
| 16  | 500         |

**Analysis:**

- The lowest call volume was recorded on Day 1 with 204 calls.
- The highest call volume was recorded on Day 11 with 522 calls.
- There is a noticeable increase in call volumes starting from Day 6, peaking around Days 10 and 11.
- The trend suggests an overall increase in call volume over the 16-day period, with fluctuations occurring on individual days.

This data could be useful for analyzing call center activity or other communication patterns over time.
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Transcribed Image Text:**Table: Call Volume Over 16 Days** This table presents data on call volume across a 16-day period. The first column indicates the day, while the second column shows the corresponding call volume for each day. | Day | Call Volume | |-----|-------------| | 1 | 204 | | 2 | 336 | | 3 | 295 | | 4 | 251 | | 5 | 280 | | 6 | 300 | | 7 | 398 | | 8 | 418 | | 9 | 309 | | 10 | 471 | | 11 | 522 | | 12 | 502 | | 13 | 449 | | 14 | 452 | | 15 | 420 | | 16 | 500 | **Analysis:** - The lowest call volume was recorded on Day 1 with 204 calls. - The highest call volume was recorded on Day 11 with 522 calls. - There is a noticeable increase in call volumes starting from Day 6, peaking around Days 10 and 11. - The trend suggests an overall increase in call volume over the 16-day period, with fluctuations occurring on individual days. This data could be useful for analyzing call center activity or other communication patterns over time.
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