TY - GEN
T1 - Production Planning Forecasting using Single Moving Average and Exponential Smoothing Method in PT. Semen Indonesia
AU - Nathania, Christie Joanna
AU - Iskandar, Fadilla Rahmanisa
AU - Wicaksonoputra, Ahmad Fahreza
AU - Nurcahyo, Rahmat
N1 - Publisher Copyright:
© IEOM Society International.
PY - 2021
Y1 - 2021
N2 - PT Semen Indonesia (Persero) is a prominent state-owned cement producer in Indonesia. As a leading company, PT Semen Indonesia needs to keep improving its activity strategies, starting from the production planning. Therefore, this research discusses the appropriate production forecasting method. The production data is collected in an annual period which is collected from PT Semen Indonesia operational overview in the annual report. Steps of PT Semen Indonesia production planning forecasting are literature study, data collecting, identification of forecasting methods, comparison of forecasting methods, and result analysis. Based on the data characteristics, Single Moving Average and Exponential Smoothing Method were chosen to predict the production in the year 2021. The accuracy level of the method was measured by using MAD, MSD, and MAPE with Single Exponential Smoothing as the best production planning forecasting result.
AB - PT Semen Indonesia (Persero) is a prominent state-owned cement producer in Indonesia. As a leading company, PT Semen Indonesia needs to keep improving its activity strategies, starting from the production planning. Therefore, this research discusses the appropriate production forecasting method. The production data is collected in an annual period which is collected from PT Semen Indonesia operational overview in the annual report. Steps of PT Semen Indonesia production planning forecasting are literature study, data collecting, identification of forecasting methods, comparison of forecasting methods, and result analysis. Based on the data characteristics, Single Moving Average and Exponential Smoothing Method were chosen to predict the production in the year 2021. The accuracy level of the method was measured by using MAD, MSD, and MAPE with Single Exponential Smoothing as the best production planning forecasting result.
KW - Exponential Smoothing Method
KW - Forecast
KW - Moving Average
KW - Production Planning
UR - http://www.scopus.com/inward/record.url?scp=85125938055&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85125938055
SN - 9781792361289
T3 - Proceedings of the International Conference on Industrial Engineering and Operations Management
SP - 324
EP - 330
BT - Proceedings - 2021 IEOM India Conference
A2 - Babu, Shekar
A2 - Shetty, Devdas
A2 - Vasu, V.
A2 - Sharma, R.R.K.
A2 - Ali, Ahad
PB - IEOM Society
T2 - 1st Indian International Conference on Industrial Engineering and Operations Management, IEOM 2021
Y2 - 16 August 2021 through 18 August 2021
ER -