Evaluation and Selection of Manufacturing Suppliers in B2B E-Commerce Environment

Quan Zhang,Jiyun Ma,Zhen Guo,Feiyu Man

doi:10.1155/2020/8690402

Abstract

The evaluation and selection of manufacturing suppliers in B2B e-commerce environment is summed up as a multiple-attribute decision-making problem. In B2B E-commerce environment, some performance indicators of manufacturing suppliers present uncertainty and could not be expressed with precise numeric values. Linguistic terms, preference orderings, or interval numbers are commonly used to express the performances of the suppliers accurately instead of crisp values when the available information is uncertain or incomplete. This paper proposes an approach to the selection of manufacturing suppliers in B2B E-commerce environment, where the attribute values in decision matrix are expressed with linguistic terms, preference orderings, and interval numbers. Firstly, the hybrid decision matrix is normalized by calculating the grey correlation coefficients of attribute values with the ideal values of attributes. Secondly, a deviation maximization model is proposed to determine the attribute weights, which is combined with those derived from the entropy method. Thirdly, the overall values of suppliers are calculated and their rankings are obtained. Finally, an example is used to illustrate the proposed approach.

Highlights

As important components of the supply chain, suppliers usually play important roles in the manufacturing process [1,2,3]. e relationships between manufacturers and suppliers are examined by Svensson et al [2]. e evaluation and selection of suppliers are important steps in the operations of manufacturers and can be modeled as multipleattribute decision-making (MADM) problems, which involve some qualitative attributes, for example, the quality factor and risk factor of the suppliers
Both the qualitative attributes and the quantitative attributes are adopted in modeling the evaluation and selection of manufacturing suppliers [4]
The research on evaluating the manufacturing suppliers in B2B E-commerce environment is not so common when their performances or attribute values are multiple types of information, such as linguistic terms, preference orderings, and interval numbers. e purpose of this paper is to develop an approach for evaluating and selecting the manufacturing suppliers in B2B E-commerce environment, where their attribute values are expressed with linguistic terms, preference orderings, and interval numbers

Summary

Introduction

As important components of the supply chain, suppliers usually play important roles in the manufacturing process [1,2,3]. e relationships between manufacturers and suppliers are examined by Svensson et al [2]. e evaluation and selection of suppliers are important steps in the operations of manufacturers and can be modeled as multipleattribute decision-making (MADM) problems, which involve some qualitative attributes, for example, the quality factor and risk factor of the suppliers. The research on evaluating the manufacturing suppliers in B2B E-commerce environment is not so common when their performances or attribute values are multiple types of information, such as linguistic terms, preference orderings, and interval numbers. E purpose of this paper is to develop an approach for evaluating and selecting the manufacturing suppliers in B2B E-commerce environment, where their attribute values are expressed with linguistic terms, preference orderings, and interval numbers. E research objective of this paper is to propose a new approach to deal with the qualitative attribute values expressed with linguistic terms and preference orderings and the quantitative attribute values expressed with interval numbers, when evaluating and selecting the manufacturing suppliers in B2B E-commerce environment.

Problem Descriptions

Calculate the Grey Correlation Coefficients of Linguistic Attribute Values

Illustrations