Abstract
Supplier selection is one of the most important activities in purchasing management. Once the suppliers are determined, the proper allocation of the order among the suppliers can greatly help the company to reduce the raw material and production costs. In this paper, the order allocation with quantity discount of a single product is considered. The product can be offered with either an all unit discount model or an incremental discount one. Since the problem is NP-hard, three metaheuristics are applied to solve the problem. The metaheuristics are water cycle algorithm, artificial bee colony algorithm and hybrid water cycle-artificial bee colony algorithm. The results obtained from these algorithms are then compared.
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.
References
Setak, M., Sharifi, S., Alimohammadian, A.: Supplier Selection and Order Allocation Models in Supply Chain Management: A Review. World Applied Sciences Journal 18, 55–72 (2012)
Ghodsypour, S.H., Brien, C.O.: The Total Cost of Logistics in Supplier Selection, under Conditions of Multiple Sourcing. Multiple Criteria and Capacity Constraint, International Journal of Production Economics 73, 15–27 (2001)
Charles, A.W., Current, J.R., Benton, W.C.: Vendor Selection Criteria and Methods. European Journal of Operational Research 50, 2–18 (1991)
Xia, W., Wu, Z.: Supplier Selection with Multiple Criteria in Volume. Omega The International Journal of Management Science 35, 494–504 (2007)
Burke, G.J., Carrillo, J., Vakharia, A.J.: Heuristics for Sourcing from Multiple Suppliers with Alternative Quantity Discounts. European Journal of Operational Research 186, 317–329 (2008)
Goossens, D.R., Maas, A.J.T., Spieksma, F.C.R., van de Klundert, J.J.: Exact Algorithms for Procurement Problems under a Total Quantity Discount Structure. European Journal of Operational Research 178, 603–626 (2007)
Chotyakul, C., Khompatraporn, C., Somboonwiwat, T., Jaturanonda, C.: Optimal Order Allocation Decision with Multiple Quantity Discount Schemes and Minimum Monetary Value Penalty by Artificial Bee Colony Algorithm. In: Proceedings of the 7th International Congress on Logistics and SCM Systems (ICLS 2012), Seoul, Korea (2012)
Eskandar, H., Sadollah, A., Bahreininejad, A.: Weight Optimization of Truss Structures Using Water Cycle Algorithm. International Journal of Optimization in Civil Engineering 3, 115–129 (2013)
Eskandar, H., Sadollah, A., Bahreininejad, A., Hamdi, M.: Water Cycle Algorithm - a Novel Metaheuristic Optimization Method for Solving Constrained Engineering Optimization Problems. Computer and Structure 110-111, 151–166 (2012)
Blum, C., Roli, A.: Hybrid Metaheuristics: An Introduction. In: Blum, C., Aguilera, M.J.B., Roli, A., Sampels, M. (eds.) Hybrid Metaheuristics an Emerging Approach to Optimization. SCI, vol. 114, pp. 1–30. Springer, Heidelberg (2008)
Akay, B., Karaboga, D.: Solving integer programming problems by using artificial bee colony algorithm. In: Serra, R., Cucchiara, R. (eds.) AI*IA 2009. LNCS, vol. 5883, pp. 355–364. Springer, Heidelberg (2009)
Akay, B., Karaboga, D.: A modified artificial bee colony algorithm for real-parameter optimization. Information Sciences 192, 120–142 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Praepanichawat, C., Khompatraporn, C., Jaturanonda, C., Chotyakul, C. (2015). Water Cycle and Artificial Bee Colony Based Algorithms for Optimal Order Allocation Problem with Mixed Quantity Discount Scheme. In: Gen, M., Kim, K., Huang, X., Hiroshi, Y. (eds) Industrial Engineering, Management Science and Applications 2015. Lecture Notes in Electrical Engineering, vol 349. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47200-2_26
Download citation
DOI: https://doi.org/10.1007/978-3-662-47200-2_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-47199-9
Online ISBN: 978-3-662-47200-2
eBook Packages: Computer ScienceComputer Science (R0)