Publication Type
PhD Dissertation
Version
publishedVersion
Publication Date
5-2021
Abstract
Companies must be prepared to manage uncontrollable events that will disrupt their supply chain and add uncertainty to their inventory models.
This thesis first studies the effect of different types of supply disruption risks on the ordering performance of profit-maximizing decision makers in a newsvendor setting.
Then, this thesis aims at extending the literature on the newsvendor model in studying the effect of a Decision Support System and the effect of a Secondary Task on the ordering performance of profit-maximizing decision makers who face supply uncertainties in a newsvendor setting.
Finally, implications for scholars and practitioners are discussed.
Keywords
News vendor, model supply, disruption, uncertainty order quantity, decision support system, secondary task
Degree Awarded
PhD in Business (General Management)
Discipline
Business Administration, Management, and Operations | Operations and Supply Chain Management
Supervisor(s)
CRAMA, Pascale Emanuelle D.
First Page
1
Last Page
110
Publisher
Singapore Management University
City or Country
Singapore
Citation
ZELLER, Alan William.
Debiasing a decision maker facing supply uncertainties in a newsvendor setting. (2021). 1-110.
Available at: https://ink.library.smu.edu.sg/etd_coll/347
Copyright Owner and License
Author
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Business Administration, Management, and Operations Commons, Operations and Supply Chain Management Commons