DocumentCode :
3283431
Title :
Exploring Contracts with Options in Loyalty Reward Programs Supply Chain
Author :
Cao, Yuheng ; Nsakanda, Aaron Luntala ; Diaby, Moustapha ; Ji, Shaobo ; Hine, Michael J.
Author_Institution :
Sprott Sch. of Bus., Carleton Univ., Ottawa, ON, Canada
fYear :
2012
fDate :
4-7 Jan. 2012
Firstpage :
1257
Lastpage :
1266
Abstract :
This paper explores analytically the issue of whether an option contract mechanism is a viable alternative to help hedge against demand uncertainties for rewards in a Loyalty Reward Programs (LRP) enterprise-led supply chain. We introduce an analysis framework based on the study of the problem of planning the supply of rewards (and points) given demand uncertainties and considering option contracts featuring two parameters namely the option price and the option exercise. A two-stage stochastic linear programming with simple recourse model is developed to formulate this problem and solved using a solution procedure based on the sampling average approximation scheme. We benchmark our analysis with a wholesale price contract, a commonly used mechanism in buyer-supplier supply chains. Our preliminary numerical experiments show that option contracts can be considered as an attractive means to mitigate higher level of redemption demand variability as they tend to yield a higher LRP enterprise profitability and lower increases in both the liability level and budget usages.
Keywords :
approximation theory; contracts; linear programming; pricing; profitability; share prices; stochastic programming; supply chain management; LRP enterprise profitability; budget usages; buyer-supplier supply chains; demand uncertainties; liability level; loyalty reward programs enterprise-led supply chain; option contract mechanism; option exercise; option price; recourse model; redemption demand variability; sampling average approximation scheme; two-stage stochastic linear programming; Contracts; Educational institutions; Planning; Pricing; Supply chains; Uncertainty; Option contracts; Supply chain management; loyalty reward programs; stochastic programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Science (HICSS), 2012 45th Hawaii International Conference on
Conference_Location :
Maui, HI
ISSN :
1530-1605
Print_ISBN :
978-1-4577-1925-7
Electronic_ISBN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2012.266
Filename :
6148675
Link To Document :
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