ABC Development for Predicting Mean Absolute Percentage Error Type by Planning the Production Mixed Model
Keywords:
Prediction, ABC. Analysis, Mean absolute percentage errorAbstract
This research aims to design a production plan in the plastic packaging industry has produced a variety of formats(mixed model) and the number of products to meet customer orders and uncertainty. Therefore, the planning of production. Product specifications is difficult and risky, high inventory and the ability to timely deliver to the customer. Of the above sequences were the product of the ABC analysis and classification analysis of the demand for products that are important and do. Forecasting methods. And the chosen value mean absolute percentage error (MAPE) minimum. Can be used as a method for planning the production of those products. The study showed that the use of such techniques. The ability to meet product orders.increased.22.5%.
References
2. มุกดา แม้นมินทร์. 2549. “อนุกรมเวลาและการคาดการณ์,” สำนักพิมพ์ประการพรึก, กรุงเทพฯ, หน้า 11-14.
3. Ng, W. L., 2007. A Simple Classifier for Multiple Criteria ABC Analysis. European Journal of Operational Research
4. Ramanathan, R. 2006. ABC inventory classi-fication with multiple-criteria using weighted linear Optimization. Computer & Operations Research, 33: 695−700.
5. Varghese, V. and Rosetti, M. A., 2008. “Classification Approach for Selecting Forecasting Techniques for Intermittent Demand.” The 2008 Industrial Engineering Research Conference: 863− 868.
6. Willemain, T. R., Smart, C. N., and Schwarz, H.F., 2004. “A New Approach to Forecasting Inter-mittent Demand for Service Parts Inventories.” International Journal of Forecasting. 20: 375-387.
7. Footlik, R. B. 2004. Rethinking storage para-dimes. Retrieved May 15, 2010.
8. Heizer. and Rarry R., 2004. Operation Manage-ment, 7th ed., pp.355-383.
9. Howard J.Weiss and Mark E.Gershon., 1993. “Operations and Operations Management,” 2nd Edition. Allyn and Bacon, 129-170.177: 344-353.