They asked about applying forecasting techniques like 2 moving average and naive
They asked about applying forecasting techniques like 2 moving average and naive
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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They asked about applying forecasting techniques like 2 moving average and naive ..

Transcribed Image Text:XYZ Company for Tea Production
XYZ Co is a prominent company in the FMCG industry. It provides 400 different
brands spanning 14 categories of home, personal care and foods products. XYZ
is now one of the world's biggest companies. Their first business in the Middle
East started in Saudi Arabia in the 1930's and by 1978, the first factory was set
up in Jeddah to supply the Middle East region with home and personal care
products. In Egypt, XYZ established in 1991 a joint venture with an Egyptian
company creating one of the largest FMCG businesses in Egypt. In 2000, XYZ
established its tea factory in Borg El Arab to produce high quality tea. The total
sales for XYZ (the tea factory) were around 60 Million Egyptian pounds during
year 2020. The company is operating under a strategy that aims to provide the
best tea tasting experience to its customers (differentiation strategy).
Forecasting
During the last board of directors meeting, there was a hot discussion about the
future of the tea business. The General Manager of the tea business shared the
latest sales numbers. He highlighted the constant growth in sales in years 2018,
2019 and 2020. However, the current conditions in Egypt and the world calls for
reassessment of their future sales. Thus, the General Manager highlighted the
need to reassess the forecasting techniques that they currently use.
Month
Year 2018
Year 2019
Year 2020
Jan
185000
240000
257000
Feb
203000
234000
250000
Mar
206000
229000
240000
228000
235000
Apr
May
Jun
208000
210000
215000
295000
192000
265000
208000
252000
Jul
255000
230000
Aug
Sep
Oct
190000
200000
220000
201000
210000
225000
225000
183000
200000
Nov
207000
227000
250000
Dec
225000
237000
271000
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