DocumentCode :
2789352
Title :
Stackelberg game model of a supply chain under lead-time-dependent demand uncertainty
Author :
Jin, Jiao ; Xiao, Tiao-jun ; Fan, Dong
Author_Institution :
Sch. of Manage. Sci. & Eng., Nanjing Univ., Nanjing, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
4489
Lastpage :
4493
Abstract :
This paper develops a Stackelberg game theoretic model of a supply chain consisting of one manufacturer and one retailer to study pricing and production planning about lead-time and quantity. We assume that the retailer faces an uncertain demand where the uncertainty is related to lead-time. We investigate how uncertainty, capacity and salvage value influence the equilibrium outcome. We find that manufacturer´s maximum output within the lead-time is always equal to the retailer´s order quantity and the manufacturer can adjust the lead-time because the retailer can influence the demand by adjusting retail price. When the demand uncertainty is sufficiently small, the manufacturer shares most of the risk from demand uncertainty; otherwise, the retailer has to share part of the risk.
Keywords :
game theory; industrial economics; lead time reduction; order processing; pricing; production planning; retailing; risk management; supply and demand; supply chain management; Stackelberg game theoretic model; lead-time-dependent demand uncertainty; manufacturer-retailer model; production planning; retail pricing; retailer order quantity; risk sharing; salvage value; supply chain management; Costs; Demand forecasting; Economic forecasting; Game theory; Pricing; Production; Supply chain management; Supply chains; Uncertainty; Virtual manufacturing; demand uncertainty; game theory; lead-time; pricing; supply chain management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5192253
Filename :
5192253
Link To Document :
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