Supplier selection using artificial neural network and genetic algorithm

被引：6

作者：

Asthana, Nitesh ^{[1
]}

Gupta, Manish ^{[1
]}

机构：

[1] Motilal Nehru Natl Inst Technol, Dept Mech Engn, Allahabad 211004, Uttar Pradesh, India

来源：

INTERNATIONAL JOURNAL OF INDIAN CULTURE AND BUSINESS MANAGEMENT | 2015年 / 11卷 / 04期

关键词：

supplier selection; genetic algorithm; artificial neural network; ANN; decision making model; optimisation; multi-criteria decision making; MCDM;

D O I：

10.1504/IJICBM.2015.072428

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper presents the integration of GA with ANN to develop a decision making model for the selection of the best supplier. This work integrates multi-attribute decision making models that give grades to suppliers on a set of criteria with the mathematical programming techniques that model the constraints and an objective function to select the best supplier. There exists a number of criteria for supplier selection and in this work based on the preliminary field visits some of the criteria are chosen for supplier selections that are more dominant in the Indian scenario. These selected criteria are: quality, delay time, unit cost, quantity and service. Supplier score was calculated based on the data collected from the reputed automobile industry. This supplier score was further used for ranking the suppliers among the number of options available.

引用

页码：457 / 472

页数：16

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