DocumentCode :
1778837
Title :
The expectation-based loss-averse newsvendor under supply uncertainty
Author :
Lijun Ma ; Guanglun Qin ; Weili Xue
Author_Institution :
Dept. of Manage. Sci. & Eng., Shenzhen Univ., Shenzhen, China
fYear :
2014
fDate :
25-27 June 2014
Firstpage :
1
Lastpage :
4
Abstract :
We extend the expectation-based loss-averse newsvendor model according [1] by assuming that decision maker confronts deterministic demand and uncertain supply at the beginning of a selling season. We show with numerical study that the higher the penalty coefficient, the lower the optimal order quantity. Higher retail price and salvage value lead to optimally order more. However, when the wholesale price increases, the optimal order quantity decreases.
Keywords :
pricing; supply and demand; decision maker; deterministic demand; expectation-based loss-averse newsvendor model; higher retail price; optimal order quantity; penalty coefficient; salvage value; supply uncertainty; wholesale price; Analytical models; Economics; Educational institutions; Inventory management; Numerical models; Probability density function; Uncertainty; expectation-based; lose-averse; uncertain supply;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Systems and Service Management (ICSSSM), 2014 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-3133-0
Type :
conf
DOI :
10.1109/ICSSSM.2014.6874116
Filename :
6874116
Link To Document :
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