Abstract
This paper explores the problem of making ordering decisions for multi-items with various constraints on the supply chain. With the advent of supply chain management, depots or warehouses fulfill a strategic role of achieving the logistics objectives of shorter cycle times, lower inventories, lower costs and better customer service. Many companies consider both their cost effectiveness and market proficiency to depend primarily on efficient logistics management. Depot management presently is considered a key to strengthening company logistics. In this paper, we propose a novel multi-items ordering model with the mixed parts transportation problem based on the depot system in a supply chain. Order range is especially introduced and used as decision parameters instead of order point to order multi-items. Finally, we test the model with a numerical example and show computational results that verify the effectiveness of the proposed model.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Coyle, J.J., Bardi, E.J., Langley Jr., C.J.: The Management of Business Logistics, 6th edn. West Publishing Company, New York (1996)
Van den Berg, J.P.: A literature survey on planning and control of warehousing systems. IIE Transactions 31, 751–762 (1999)
Doll, C.L., Whybark, C.: An iterative procedure for the single-machine multi-product lot scheduling problem. Managemnet Science 20(1), 50–55 (1973)
Pirkul, H., Aras, O.A.: Capacitated multiple item ordering problem with quantity discounts. IIE Trans 17, 206–211 (1985)
Rosenblatt, M.J., Rothblum, U.G.: On the single resource capacity problem for multiitem inventory systems. Opns. Res. 38, 686–693 (1990)
Shu, F.T.: Economic ordering frequency for two items jointly replenished. Management Science 17(6), B406–B410 (1971)
Tersine, R.J., Barman, S.: Economic/Transport Lot Sizing with Quantity and Freight Rate Discounts. Decision Science 22, 1171–1179 (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ahn, B., Seo, KK. (2005). A Multi-items Ordering Model with Mixed Parts Transportation Problem in a Supply Chain. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424925_48
Download citation
DOI: https://doi.org/10.1007/11424925_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25863-6
Online ISBN: 978-3-540-32309-9
eBook Packages: Computer ScienceComputer Science (R0)