EconPapers    
Economics at your fingertips  
 

Pricing decision problem for substitutable products based on uncertainty theory

Hu Huang and Hua Ke ()
Additional contact information
Hu Huang: Tongji University
Hua Ke: Tongji University

Journal of Intelligent Manufacturing, 2017, vol. 28, issue 3, No 2, 503-514

Abstract: Abstract Increasing studies in marketing and distribution channels have shown that the power of manufacturers and retailers is reversing. In this paper, we consider a pricing decision problem in which two different manufacturers compete to distribute differentiated but substitutable products through a common retailer under different power structures. The manufacturing costs, sales costs and demands are characterized by uncertain variables. Meanwhile, uncertainty theory and game-theory-based modeling approaches are employed to formulate the pricing decision problem with three different power structures under uncertain environment. How to make the optimal pricing decisions on wholesale prices and retailer markups under three possible scenarios is derived. Numerical experiments are also given to examine the effects of power structures on the equilibrium prices and profits in uncertain environment. It is found that if the sales cost is high, consumers can enjoy lower prices when facing a powerful retailer and the super retailer can also make the supply chain more efficient.

Keywords: Pricing decision; Uncertain variable; Stackelberg–Nash game; Supply chain; Power structure (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://link.springer.com/10.1007/s10845-014-0991-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:joinma:v:28:y:2017:i:3:d:10.1007_s10845-014-0991-7

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10845

DOI: 10.1007/s10845-014-0991-7

Access Statistics for this article

Journal of Intelligent Manufacturing is currently edited by Andrew Kusiak

More articles in Journal of Intelligent Manufacturing from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:joinma:v:28:y:2017:i:3:d:10.1007_s10845-014-0991-7