Forecasting Technique for the Production Plan of the Local Earthenware Industries of Thailand

Weerapol Namboonruang; N Amdee

doi:10.4028/www.scientific.net/AMM.577.1279

Paper Titles

Miniature Telemetry System for Recording Neural Action Potential in Freely Behaving Rats
p.1258

System Identification of Beating Heart Medical Surgery Assisted Robot
p.1262

A Method to Evaluate Low Voltage Supply System’s Reliability
p.1269

Architecture of Enterprise Information System for Electric Equipment Enterprise and its Implementation
p.1274

Forecasting Technique for the Production Plan of the Local Earthenware Industries of Thailand
p.1279

Overview of RFID Technology Based on Green Logistics in China
p.1283

Study on Private Pilot Error Prevention Theory Based on Rough Set
p.1288

Study on the Product Development Process Based on WITNESS Simulation
p.1292

The Application of OLAP in Logistics System of Steel-Production
p.1296

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 577Forecasting Technique for the Production Plan of...

Forecasting Technique for the Production Plan of the Local Earthenware Industries of Thailand

Abstract:

The purpose of this work is to compare the forecasting of time series models between two different models. One is the classical model and another is the Box-Jenkins model. The data are calculated using the circulation of Angbuaand Ahongwhich are the local earthenware products from Ratchaburi province, Thailand. Results show that the mean absolute percentage error (MAPE) of Angbua and Ahong are 17.80, 36.12 and 16.38,17.21 respectively. Also,prediction using the Box-Jenkins Model by ARIMA form of both products are (1, 0, 0) and (1, 1, 1). From this work the Box-Jenkins Model shows more appropriate method than the classical model considered by the less error.

You might also be interested in these eBooks

Applied Decisions in Area of Mechanical Engineering and Industrial Manufacturing

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 577)

Pages:

1279-1282

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.577.1279

Citation:

Cite this paper

Online since:

July 2014

Authors:

Weerapol Namboonruang*, N Amdee

Keywords:

Box-Jenkins Models, Classical Models, Production Forecasting

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] W. Namboonruang, R. Rawangkul, W. Yodsudjai and N. Suphadon., Thermal Conductivity and Strength Properties of Soil-Base Lime Adobe Stabilized with Pottery Burnt Hull Ash, Adv. Mat. Res. Vols. 535-537 (2012), p. (1950).

DOI: 10.4028/www.scientific.net/amr.535-537.1950

Google Scholar

[2] S. Bulman, J. Sienz, E. Hinton, Comparisons between algorithms for structural topology optimization using a series of benchmark studies, Computers and Structures. Vol. 79(12) (2001), p.1203.

DOI: 10.1016/s0045-7949(01)00012-8

Google Scholar

[3] H.A. Eschenauer, N. Olhoff, Topology optimization of continuum structures: areview, Applied Mechanics Review. Vol. 54(4) (2001), p.331.

DOI: 10.1115/1.1388075

Google Scholar

[4] Pisal Yenradee, Anulark Pinnol and Amnaj Charoenthevornying. Demand Forcasting and Production Planning for High Seasonal Demand Situation: Case study of Pressure Container Factory. Science Asia. Vol. 27 (2001), p.271.

Google Scholar