Quantification of supply reasonableness based on TVM important score model
DOI: 10.23977/ieim.2022.050601 | Downloads: 13 | Views: 596
Author(s)
Bin Zhu 1, Jiayue Zhang 2, Yifei Zhang 3, Qi Song 1, Kangjia Hu 4
Affiliation(s)
1 School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China
2 School of Statistics, Beijing Normal University, Beijing 100875, China
3 School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China
4 College of Electrical Engineering, North China University of Science and Technology, Tangshan 063000, China
Corresponding Author
Bin ZhuABSTRACT
This paper presents the development of a raw material ordering and transportation plan for a manufacturing company under different scenarios. In order to quantify the supply characteristics, based on the data of order quantity and supply quantity in Annex I, eight indicators such as total past supply, supply accuracy, and market share are quantified with "guaranteeing production" as the core, which are divided into three dimensions: past transaction volume, transaction security, and business strength, and the same dimensional indicators are quantified using The TVM-based importance rating model was established to select the most important 50 suppliers by combining the indicators of the same dimension using the TOPSIS method. The rational analysis shows that our index selection can make the high and low importance among different suppliers.
KEYWORDS
Enterprise Ordering and Forwarding Program, Importance Scoring Model, TOPSIS Method, TVMCITE THIS PAPER
Bin Zhu, Jiayue Zhang, Yifei Zhang, Qi Song, Kangjia Hu, Quantification of supply reasonableness based on TVM important score model. Industrial Engineering and Innovation Management (2022) Vol. 5: 1-8. DOI: http://dx.doi.org/10.23977/ieim.2022.050601.
REFERENCES
[1] Zhu, MeiYing. TVM-Based Model for How Climate Change Influence Regional Instability. IOP Conference Series. Earth and Environmental Science 208.1 (2018): 12055. Web.
[2] Shi Li. "A Study on Green Supplier Evaluation and Selection Based on Structural Entropy Weight-Grey Correlation." Ji Suan Ji Ying Yong Yan Jiu 29.3 (2012): 923-26.web.
[3] Xiao Jian, Dan Bin, and Zhang Xu Mei. "A two-level programming model for supplier selection and genetic algorithm solution." Chóngqìng Dàxué Xuébào 30.6 (2007): 155-58.web.
[4] Di Peng, Yang Jing, and Xie Jingwei. "Study on the evaluation method of ship construction suppliers." Journal of Naval Engineering University 31.4(2019): 104-08.web.
[5] Xu, Zeshui, and Xiaolu Zhang. "Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information." Knowledge-Based Systems 52 (2013): 53-64.
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