DocumentCode :
437590
Title :
Supply chain coordination with quantity discounts under the uncertain demand
Author :
Bin, Liu ; Sifeng, Liu ; Jian, Chen ; Rong, Zhang
Author_Institution :
Nanjing Univ. of Aeronaut. & Astronaut., China
fYear :
2005
fDate :
19-22 March 2005
Firstpage :
976
Lastpage :
981
Abstract :
Quantity discount is a mechanism applied widely to ensure the Pareto improvement of supply chain system. It is shown in present literatures that quantity discounts alone cannot realize the perfect coordination, whether under the EOQ framework or the newsboy framework. In this paper, we address the challenge in dealing with the perfect coordination with the quantity discounts alone in the supplier´s view under the newsboy setting. First, we model continuous quantity discounts, which depicts the relationship between the ordering quantity and the wholesale discounts, and develop its necessary condition to achieve the perfect coordination, and then design iterative sequential search arithmetic to determine the optimal contract parameters. Hereafter, by the analysis in depth, we find that the system perfect coordination cannot reach with the discrete quantity discount due to its unilateral incentive, and the continuous one belongs to the bilateral incentive mechanism because of the transfer of the retailer´s extra welfare derived from the quantity discounts. Last, we interpret the above conclusion and make a simulation with an example.
Keywords :
Pareto analysis; incentive schemes; iterative methods; search problems; supply chain management; EOQ framework; Pareto improvement; bilateral incentive mechanism; continuous quantity discounts; discrete quantity discount; iterative sequential search arithmetic; newsboy framework; optimal contract parameters; ordering quantity; supply chain coordination; supply chain system; system perfect coordination; uncertain demand; unilateral incentive; wholesale discounts; Arithmetic; Contracts; Educational institutions; Educational programs; Engineering management; Helium; Pricing; Supply chain management; Supply chains; Technological innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE
Print_ISBN :
0-7803-8812-7
Type :
conf
DOI :
10.1109/ICNSC.2005.1461328
Filename :
1461328
Link To Document :
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