Pengembangan ModelVariable Review Period dengan Mempertimbangkan Order Crossover
Keywords:Order crossover, variable review period model.
AbstractIn this paper, we propose a variable review period model using dynamic programming for order crossover problem. The proposed model is compared to an existing variable review period model and classical review period in terms of minimum inventory cost. The simulation is applied with six scenarios and sensitivity analysis is also done. The results show a variable review period model performs smaller inventory cost for small variation of lead-time compared to classical review period model. On the other hand, classical periodic review model is sensitive with the changes in the variation of demand distribution and service level. The proposed model gives the better solution compared to variable review period model for the six scenarios with the inventory cost saving as 11-42%. The sensitivity analysis for a variable review period model and a proposed model are applied and compared. From sensitivity analysis, it can be concluded variable review period with dynamic programming gives the best solution in terms of the changes of holding cost and ordering cost. It is also shown the smaller holding cost, the smaller percentage of inventory cost savings (between variable review model and the proposed model).
Bischak, D. P., Robb, D. J., Silver, E. A., and Blackburn, J. A., Analysis and Management of Periodic Review, Order up-to-level Inventory Systems with Order Crossover, Production and Operations Management, 23(5), 2014, pp. 762-772.
Bradley, J. R., and Robinson, L. W., Improved Base-Stock Policies Under Order Crossover, Working Paper. Cornell University, 2003.
Chan, Felix T. S., Chung, S. H., and Choy, K. L., Optimization of Order Fulfillment in Distribution Network Problems, Journal Intelligent Manufacturing, 17, 2006, pp. 307-319.
Gonzales, J., Tullous, R., Optimal Lot Size Decisions Using the Wagner-Whitin Model with Backorders: A Spreadsheet Version, Second World Conference on POM and 15th annual POM Conference, Cancun, Mexico, April 30-May 3, 2004.
Krajewski, L. J., and Ritzman, L. P., Operations Management: Strategy and Analysis, Edisi 6. London: Prentice-Hall International, 2002.
Kulkarni, V., and Yan K., Production-Inventory Systems in Stochastic Environment and Stochastic Lead Times, Springer Queueing Syst,70, 2012, pp. 207–231.
Riezebos, J., Inventory Order Crossovers, International Journal of Production Economics, 2(104), 2006,pp. 666-675.
Riezebos, J., and Gaalman, G.J.C., Modeling Expected Inventory Order Crossovers, Preprints of the Fourteenth International Working Seminar on Production Economics 4. Innsbruck, Austria, February 20-24, 2006, 137-148.
Sadjadi, S. J., Aryanezhad, Mir.B.Gh, and Sadeghi, H. A., An Improved WAGNER-WHITIN Algorithm, International Journal of Industrial Engineering & Production Research, 20, 2009, pp. 117-123
Srinivasan, M. Optimal and Approximate Policies for Periodic Review Inventory Systems: The Case of Order Crossover and Multiple Supply Options, Thesis. The Pennsylvania State University, 2007.
Srinivasan, M., Novack, R., and Thomas, D., Optimal and Approximate Policies for Inventory Systems with Order Crossover, Journal of Business Logistics, 32 (2), 2011, pp. 180-193.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).