EconPapers    
Economics at your fingertips  
 

Stockout aversion in retailing supply chain using newsvendor models

Arindum Mukhopadhyay and A. Goswami

International Journal of Mathematics in Operational Research, 2016, vol. 8, issue 2, 185-202

Abstract: The sophisticated behaviour of the customers, availability of variety of products, stiff competition and product obsolescence results in limited selling period and uncertainty in demand for a product. In that context, the newsvendor models have found increasing applicability in supply chain management (SCM). This paper investigates a newsvendor model with alternative risk preference in which vendor is averse to stockouts in order to avoid dissatisfaction of customers, cost of emergency order and lost sales. We obtain unique optimal solution of the problem and study its various properties. Since newsvendor problem ignores the effect of other vendors in the supply chain, we study a supply chain system with risk neutral wholesaler selling its product to several vendors with stockout averse preferences competing for inventory. We establish the existence and uniqueness of a pure strategy Nash equilibrium. Then we obtain unique optimal solution and study its characteristics. Finally, our model is illustrated with the help of numerical example.

Keywords: stockout aversion; newsvendor game; equilibrium analysis; inventory modelling; retailing supply chains; supply chain management; SCM; newsvendor models; alternative risk preference. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=74854 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmore:v:8:y:2016:i:2:p:185-202

Access Statistics for this article

More articles in International Journal of Mathematics in Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijmore:v:8:y:2016:i:2:p:185-202