Optimization of Replenishment Strategy based on Collaborative Planning Forecasting and Replenishment

DOI

10.2991/meees-18.2018.76How to use a DOI?

Keywords

CPFR-based replenishment model, Coordination replenishment model, inventory management problem.

Abstract

Based on the mathematical programming method, this paper constructs the retail CPFR-based replenishment model, analyzes the determination of replenishment strategy, and tests the model. Then, through the analysis of the sensitivity of relevant parameters, the impacts of demand and product satisfaction rate on supply chain inventory cost and order quantity under the cooperative replenishment mode are studied. The research results show that the coordinative replenishment model can save the inventory management cost of the supply chain, strengthen the competitiveness and collaboration of the whole supply chain, and improve the customer satisfaction. The conclusion of the research is of practical significance and can provide reference for retail enterprises to implement the DPFR-based collaborative replenishment and solve the related inventory management problem to a certain extent.

Copyright

© 2018, 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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TY  - CONF
AU  - Hui Pang
AU  - Shaohua Dong
PY  - 2018/05
DA  - 2018/05
TI  - Optimization of Replenishment Strategy based on Collaborative Planning Forecasting and Replenishment
BT  - Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
PB  - Atlantis Press
SP  - 430
EP  - 436
SN  - 2352-5401
UR  - https://doi.org/10.2991/meees-18.2018.76
DO  - 10.2991/meees-18.2018.76
ID  - Pang2018/05
ER  -