FINDING METHODS FOR FORECASTING STORAGE SPACE DEMAND OF WASTE RECYCLE COMPANY. CASE STUDY OF ABC WASTE RECYCLE COMPANY, SAMUTSAKHON PROVINCE

Pornkiat  Phakdeewongthep; Pitiphoj  Saelek; Tanawat  Wisedsin; Srisarin  Norasedsophon

Pornkiat Phakdeewongthep College of Logistics and Supply Chain, Suan Sunandha Rajabhat University, Nakhon Pathom, Thailand.
Pitiphoj Saelek College of Logistics and Supply Chain, Suan Sunandha Rajabhat University, Nakhon Pathom, Thailand.
Tanawat Wisedsin College of Logistics and Supply Chain, Suan Sunandha Rajabhat University, Nakhon Pathom, Thailand.
Srisarin Norasedsophon College of Logistics and Supply Chain, Suan Sunandha Rajabhat University, Nakhon Pathom, Thailand.

Keywords: Forecasting, Decomposition, Storage Space

Abstract

The purpose of this research was to find a suitable forecasting method for the product category. There were seven time series forecasting methods, they are: Linear Trend, Multiplicative Decomposition, Additive Decomposition, Single Exponential Smoothing, Double Exponential Smoothing, Multiplicative Winters and Additive Winters. There were 6 types of product information: Copper, Steel, Plastic, Paper, Beer Crate and Glass. The population and the sample were the total number of employees of the company, 59 people. The data analyzed was from January-December 2021. The research procedures were 1) to study the general information of the company, 2) to find the results of the discrepancy of each method of forecasting, 3) to compare the forecast results. The results showed that 1) The suitable forecasting method for Copper was Multiplicative Decomposition. 2) The suitable forecasting method for Iron were Multiplicative Decomposition and Additive Decomposition. 3) The suitable forecasting method for Plastic were Linear Trend, Multiplicative Decomposition, Additive Decomposition and Single Exponential Smoothing. 4) The suitable forecasting method for Paper were Multiplicative Decomposition and Additive Decomposition. 5) The suitable forecasting method for Beer crate were Multiplicative Decomposition and Additive Decomposition. 6) The suitable forecasting method for Glass were Multiplicative Decomposition and Additive Decomposition.