Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)

Study on The Optimal Order Quantity of single-period products Returned for Continuous Demand

Authors
Fengju Cheng, Jingzhao Zhang, Lili Xue
Corresponding Author
Fengju Cheng
Available Online July 2017.
DOI
10.2991/iccse-17.2017.41How to use a DOI?
Keywords
Inventory control problem, Classical newsboy problem, The Optimal Order Quantity of single-period products
Abstract

In this paper, we consider the inventory control problem of single-period product items with a fixed life cycle and short marketing period. Our study expands the classical newsboy problem to consider defective items and returning policy. The single-period model is established, and the optimal order quantity is derived for cases when the expect profit model in the supplier and the retailer operate independently as well as collaboratively. Then numerical examples and sensitivity analysis are carried out to illustrate the application of the model. Research results show that the profit of them under collaboration is bigger than independence respectively.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
Series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
10.2991/iccse-17.2017.41
ISSN
2352-538X
DOI
10.2991/iccse-17.2017.41How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fengju Cheng
AU  - Jingzhao Zhang
AU  - Lili Xue
PY  - 2017/07
DA  - 2017/07
TI  - Study on The Optimal Order Quantity of single-period products Returned for Continuous Demand
BT  - Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
PB  - Atlantis Press
SP  - 227
EP  - 236
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.41
DO  - 10.2991/iccse-17.2017.41
ID  - Cheng2017/07
ER  -