Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25060
Title: The impact of non-stationary demand and forecasting on a failure-prone manufacturing system
Authors: Li, N
Chan, FTS 
Chung, SH 
Niu, B
Keywords: Failure-prone system
Forecasting
Optimization
Production and inventory control
Simulation
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding, 2015, 7093707 (CD-ROM) How to cite?
Abstract: Stationary demand process is mostly an assumption in the problem of production/inventory control. The objective of this paper is to investigate the performance of non-stationary control policy and stationary control policy under the condition of non-stationary demand and to study the impact of forecasting on the system's performance in a failure-prone manufacturing system. The hedging-point-based (HPP) production/inventory control policy is adopted and modified to solve this specific problem. The problem is formed as a dynamic programming model. Non-stationary demand is forecasted using a few time-series forecasting methods. Discrete event simulation, experimental design and response surface method are combined together to simultaneously obtain the optimal lot size and hedging point considering the production cost, inventory cost and setup cost The results show that different forecasting methods produce varies accuracy and excessive forecasting inaccuracy deteriorates the performance of the non-stationary control policy. Non-stationary control policy generally can provide better performance when compared with the traditional stationary one.
Description: 5th International Conference on Industrial Engineering and Operations Management, IEOM 2015, 3-5 March 2015
URI: http://hdl.handle.net/10397/25060
ISBN: 9781479960668
1479960667
9781479960651
1479960659
DOI: 10.1109/IEOM.2015.7093707
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