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Modified (Q, r) Model for Discrete Demand  

Rim, Suk-C. (Dept. of Industrial Engineering, Ajou University)
Noh, Seung-J. (School of Business, Myongji University)
Hyun, Hye-Mi (Global Logistics Group, Samsung Electronics Co.)
Publication Information
Management Science and Financial Engineering / v.17, no.1, 2011 , pp. 65-78 More about this Journal
Abstract
In the continuous review (Q, r) model one continuously monitors inventory level and places a replenishment order when the inventory position reaches the reorder point. In many business practices, however, inventory decreases in a discrete fashion. As a result, replenishment orders are usually placed after the inventory position gets far below the reorder point. This makes a chance of shortage more likely and the service level lower than designed. Such a discrepancy can be compensated for by raising the reorder point to some extent. The question is how much the reorder point should be raised in order to compensate for a potential shortage. In this study, we present experimental analyses for this question. Regression models are also proposed for on-site use.
Keywords
Inventory; Reorder Point; Discrete Demand; Service Level;
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1 Wiliams, T. M., "Stock control with sporadic and slow‐moving demand," J. of Operational Research Society 35, 10 (1984), 939-948.   DOI
2 Zeng, A. Z. and J. C. Hayya, "The performance of two popular service measures on management effectiveness in inventory control," International Journal of Production Economics 58, 2 (1999), 147-158.   DOI   ScienceOn
3 Moors, J. J. A. and L. W. G. Strijbosch, "Exact fill rates for (R, s, S) inventory control with gamma distributed demand," Journal of the Operational Research Society 53 (2002), 1268-1274.   DOI   ScienceOn
4 Ward, J. B., "Determining reorder points when demand is lumpy," Management Science 24, 6 (1978), 623-632.   DOI   ScienceOn
5 Rempala, R., "Joint replenishment multiproduct inventory problem with continuous production and discrete demands," International journal of production economics 81/82 (2003), 495-511.
6 Sakaguchi, M. and M. Kodama, "The optimum ordering policy for a dynamic inventory model with discrete demand," Journal of statistics and management systems 9, 1 (2006), 225-242.   DOI
7 Schneider, H., "Effect of service‐levels on order‐points or order‐levels in inventory models," International Journal of Production Research 19, 6 (1981), 615-631.   DOI   ScienceOn
8 Williams, T. M., "Reorder Levels for Lumpy Demand," The journal of the Operational Research Society 33, 2 (1982), 185-189.
9 Williams, T. M., "Tables of stock‐outs with lumpy demand," J. of Operational Research Society 34, 5 (1983), 431-435.   DOI
10 Chen, F. Y. and D. Krass, "Inventory models with minimal service level constraints," European Journal of Operational Research 134, 1 (2001), 120-140.   DOI   ScienceOn
11 Janssen, F., R. Heuts, and T. de Kok, "The impact of data collection on fill rate performance in the (R, s, Q) inventory model," The Journal of the Operational Research Society 50, 1 (1999), 75-84.   DOI
12 Hill, R. M., "Stock control and the undershoot of the re-order level," The Journal of the Operational Research Society 39, 2 (1988), 173-181.   DOI
13 Inderfurth, K. and S. Minner, "Safety stocks in multi‐stage inventory systems under different service measures," European Journal of Operational Research 106, 1 (1998), 57-73.   DOI   ScienceOn
14 Janssen, F., R. Heuts, and T. de Kok, "On the (R, s, Q) inventory model when demand is modeled as a compound Bernoulli process," European Journal of Operational Research 104, 3 (1998), 423-436.   DOI   ScienceOn
15 Li, L., Supply Chain Management: concepts, techniques and practices, World Scientific Publishing Co., (2007), 186-187.
16 Mattsson, S. A., "Inventory control in environments with short lead times," International Journal of Physical Distribution and Logistics Management 37, 2 (2007), 115-130.   DOI   ScienceOn
17 Cardos, M., C. Miralles, and L. Ros, "An exact calculation of the cycle service level in a generalized periodic review system," Journal of the Operation Research Society 57 (2006), 1252-1255.   DOI   ScienceOn