scholarly journals The Loss-Averse Newsvendor Problem with Random Capacity

Author(s):  
Chongfeng Lan ◽  
Huanyong Ji ◽  
Jing Li

2013 ◽  
Vol 231 (2) ◽  
pp. 328-336 ◽  
Author(s):  
Meng Wu ◽  
Stuart X. Zhu ◽  
Ruud H. Teunter








2021 ◽  
Vol 154 ◽  
pp. 107113
Author(s):  
Omid Jadidi ◽  
Mohamad Y. Jaber ◽  
Saeed Zolfaghri ◽  
Roberto Pinto ◽  
Fatemeh Firouzi


2016 ◽  
Vol 67 (2) ◽  
pp. 214-228 ◽  
Author(s):  
Lijun Ma ◽  
Weili Xue ◽  
Yingxue Zhao ◽  
Qinghua Zeng


4OR ◽  
2012 ◽  
Vol 10 (3) ◽  
pp. 267-286 ◽  
Author(s):  
F. J. Arcelus ◽  
Satyendra Kumar ◽  
G. Srinivasan


2021 ◽  
Author(s):  
Wei Liu ◽  
Han Zhao ◽  
Shiji Song ◽  
Huachang Wang


Author(s):  
Lei Lei ◽  
Jun Ru ◽  
Ruixia Shi ◽  
Jun Zhang


2021 ◽  
Author(s):  
Saurabh Bansal ◽  
Mahesh Nagarajan

Replicating cash flows of multiple agents in game-theoretic settings tends to be a challenging task. In this paper, we consider the competitive newsvendor game where multiple newsvendors choose inventory levels before demand arrival and the unmet demand of each newsvendor spills over to multiple other newsvendors. We show that this spillover behavior and the resulting cash flows of each newsvendor can be replicated within a transportation problem after assigning artificial costs on spillover behavior. This replication provides an opportunity to study structural properties of the problem, as well as determine the equilibrium of the game. This paradigm of using artificial costs within an optimization framework to replicate agents’ cash flows can be used in many other games as well.



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