Exercise 1Over the years, the Malaysia grocery distribution and sales industry hasgrown. Today, the total industry sales are in the tens millions of dollars. Majorretailer such as DIY and Eco, added food to complement their merchandisesales. For many companies, forecast of industry demand are necessary toplan for short and long term decision. Using time series data below, forecastof monthly industry demand.Month (2020)Month (2021)JanuaryFebruaryMarchAprilMayDemandDemandJune138103JulyAugustSeptemberOctober131142149122110121175130November194June126December166July140a) Graph the time series data. What do you observe?b) Compute all possible forecast using exponential smoothing with asmoothing constant of 0.4.c) Compute all possible forecast using exponential smoothing with asmoothing constant of 0.9.d) Compute the MADS for each forecast model.e) What forecast model would you choose? Why?ENG99hp

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Description: Exercise 1Over the years, the Malaysia grocery distribution and sales industry hasgrown. Today, the total industry sales are in the tens millions of dollars. Majorretailer such as DIY and Eco, added food to complement their merchandisesales. For man

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Over the years, the Malaysia grocery distribution and sales industry has grown. Today, the total industry sales are in the tens millions of dollars. Major retailer such as DIY and Eco, added food to complement their merchandise sales. For many companies, forecast of industry demand are necessary to plan for short and long term decision. Using time series data below, forecast of monthly industry demand. Month (2021) January February Month (2020) Demand Demand June 138 103 131 142 July August September 149 March 122 110 121 April May June October 175 130 November 194 126 December 166 July 140 a) Graph the time series data. What do you observe? b) Compute all possible forecast using exponential smoothing with a smoothing constant of 0.4. c) Compute all possible forecast using exponential smoothing with a smoothing constant of 0.9. d) Compute the MADS for each forecast model. e) What forecast model would you choose? Why?

Over the years, the Malaysia grocery distribution and sales industry has grown. Today, the total industry sales are in the tens millions of dollars. Major retailer such as DIY and Eco, added food to complement their merchandise sales. For many companies, forecast of industry demand are necessary to plan for short and long term decision. Using time series data below, forecast of monthly industry demand. Month (2021) January February Month (2020) Demand Demand June 138 103 131 142 July August September 149 March 122 110 121 April May June October 175 130 November 194 126 December 166 July 140 a) Graph the time series data. What do you observe? b) Compute all possible forecast using exponential smoothing with a smoothing constant of 0.4. c) Compute all possible forecast using exponential smoothing with a smoothing constant of 0.9. d) Compute the MADS for each forecast model. e) What forecast model would you choose? Why?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Exercise 1
Over the years, the Malaysia grocery distribution and sales industry has
grown. Today, the total industry sales are in the tens millions of dollars. Major
retailer such as DIY and Eco, added food to complement their merchandise
sales. For many companies, forecast of industry demand are necessary to
plan for short and long term decision. Using time series data below, forecast
of monthly industry demand.
Month (2020)
Month (2021)
January
February
March
April
May
Demand
Demand
June
138
103
July
August
September
October
131
142
149
122
110
121
175
130
November
194
June
126
December
166
July
140
a) Graph the time series data. What do you observe?
b) Compute all possible forecast using exponential smoothing with a
smoothing constant of 0.4.
c) Compute all possible forecast using exponential smoothing with a
smoothing constant of 0.9.
d) Compute the MADS for each forecast model.
e) What forecast model would you choose? Why?
ENG
99
hp

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