Joint replenishment and delivery problem with fuzzy chance constraint resouce restriction

DOI

10.2991/icmeme-16.2016.36How to use a DOI?

Keywords

Supply chain management, Joint replenishment and delivery problem, Fuzzy chance constraint, Triangle fuzzy number, Optimization algorithm.

Abstract

The joint replenishment and delivery problem with fuzzy chance constraint resource restriction is considered. In the proposed approach, the objective function is to minimize the ordering cost, the inventory holding cost, the transportation cost and the customer waiting cost. Mathematical model is developed, and differential evolution (DE) algorithm is proposed to solve the problem. The performance of the algorithm is then verified and test under the indirect group strategy for 1600 randomly generated problems. The results show the robust performance of the proposed algorithms.

Copyright

© 2016, 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  - Chengyan Li
AU  - Tianwei Zhang
AU  - Shujie Yin
PY  - 2016/12
DA  - 2016/12
TI  - Joint replenishment and delivery problem with fuzzy chance constraint resouce restriction
BT  - Proceedings of the 5th International Conference on Mechanical Engineering, Materials and Energy (5th ICMEME2016)
PB  - Atlantis Press
SP  - 193
EP  - 197
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeme-16.2016.36
DO  - 10.2991/icmeme-16.2016.36
ID  - Li2016/12
ER  -