2017
DOI: 10.48084/etasr.1517
|View full text |Cite
|
Sign up to set email alerts
|

A Demand Estimation Algorithm for Inventory Management Systems Using Censored Data

Abstract: During the selling time horizon of a product category, a number of products may become unavailable sooner than others and the customers may substitute their desired product with another or leave the system without purchase. So, the recorded sales do not show the actual demand of each product. In this paper, a nonparametric algorithm to estimate true demand using censored data is proposed. A customer choice model is employed to model the demand and then a nonlinear least square method is used to estimate the de… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
references
References 27 publications
(22 reference statements)
0
0
0
Order By: Relevance