Research on Supply Chain Process Based on TOPSIS Analysis and Multi-objective Programming

DOI

10.2991/aebmr.k.220307.105How to use a DOI?

Keywords

Grey relational degree; TOPSIS; multi-objective optimization

Abstract

Based on the supply chain model, under the condition of ensuring the weekly production capacity of the production enterprise, this paper works out the order plan which can complete the weekly production plan and the transfer plan which can minimize the loss of transshipment volume. Firstly, this paper establishes the supplier importance evaluation model of grey correlation degree method and TOPSIS method based on four indexes. The importance evaluation model of suppliers is established by using MATLAB software through the comprehensive use of grey correlation degree method and TOPSIS method, combined with the four indexes set. According to the order quantity and supply quantity data of 402 suppliers, the scores and rankings of 402 suppliers are calculated, and the top 20 most important suppliers are selected. Then the model of design ordering and transfer plan based on multi-objective optimization and 0-1 planning is used, and 39 suppliers are selected, which can meet the minimum number of suppliers while ensuring the production capacity of the production enterprises. Based on the 39 selected suppliers and 8 transporters, the optimal combination model of nonlinear programming is used to work out the 24-week ordering plan and transit plan.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Tao Xu
AU  - Rui Zhang
AU  - Xueru Chen
PY  - 2022
DA  - 2022/03/26
TI  - Research on Supply Chain Process Based on TOPSIS Analysis and Multi-objective Programming
BT  - Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)
PB  - Atlantis Press
SP  - 657
EP  - 661
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220307.105
DO  - 10.2991/aebmr.k.220307.105
ID  - Xu2022
ER  -