TITLE:
Ecopreneur Selection Using Fuzzy Similarity TOPSIS Variants
AUTHORS:
Shirin Noei, Arman Sargolzaei, Kang Yen, Saman Sargolzaei, Nansong Wu
KEYWORDS:
Supply Chain Management, Ecopreneur Selection, New Variants of Fuzzy TOPSIS, Similarity Measure
JOURNAL NAME:
American Journal of Industrial and Business Management,
Vol.7 No.7,
July
7,
2017
ABSTRACT: A
supply chain network coordinates flow of components from different suppliers to
enhance a product that meets customers’ value expectations. Traditionally,
companies consider price, quality, and lead time for selecting appropriate
suppliers. Increasing environmental concerns, government regulations, and
long-term profitability have forced companies to reduce pollution. In addition,
in a complex business environment, supply managers should have flexibility
skills to act entrepreneurially. Being ecopreneur is a paradigm modification
from being a green supplier and entrepreneur toward global economy and sustainability.
Although ecopreneur selection is a strategic key to project success,
construction industry lacks a systematic approach for decision-making processes.
When historical data are not available or adequate, subjective judgment of
experts is the only source of information for decision. Fuzzy logic helps decision
makers to translate qualitative terms into quantitative information, whereas
TOPSIS method ranks alternatives according to their relative distance to the
ideal solution. This paper aims to rank ecopreneurs according to the criteria
for green entrepreneur selection. In this case, construction-related experts
are interviewed to first rate the importance of each criterion as their point
of view, and then rate performance of each candidate in accordance to the most
important criteria for ecopreneur selection. The final response is expressed
based on the average of new variants of fuzzy TOPSIS each using a different
fuzzy similarity measure. A numerical example is also presented to illustrate
the process in detail.