Production rate control for stochastic remanufacturing systems
We consider the control of a manufacturing system executing single-product remanufacturing operations in a close-loop system. In this paper, the remanufacturing resources respond to planned demand executed at the end of the expected life of each individual equipment and unplanned demand triggered by a major equipment failure. Remanufacturing operations for planned demands can be executed at different rates, which referred to different component replacement and repair strategies. The system objective is to define the remanufacturing rate as a function of the serviceable equipment inventory level that minimizes the repair and inventory/shortage cost over an infinite horizon. The proposed policy, called multiple hedging point policy (MHPP), is described by two thresholds related to two accelerated repair rates. To determine the parameters of the control policy, and hence, to achieve a close approximation of the optimal repair policy, an experimental approach based on design of experiment, simulation modeling and response surface methodology is used. Our results show that the optimal cost incurred under the developed control policy is lower than that incurred under the classical hedging point policy (HPP).
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- Mahadevan, B. & Pyke, David F. & Fleischmann, Moritz, 2003.
"Periodic review, push inventory policies for remanufacturing,"
European Journal of Operational Research,
Elsevier, vol. 151(3), pages 536-551, December.
- Mahadevan, B. & Pyke, D.F. & Fleischmann, M., 2002. "Periodic Review, Push Inventory Policies for Remanufacturing," ERIM Report Series Research in Management ERS-2002-35-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
- Gharbi, A. & Kenne, J. P., 2000. "Production and preventive maintenance rates control for a manufacturing system: An experimental design approach," International Journal of Production Economics, Elsevier, vol. 65(3), pages 275-287, May.
- Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.
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