Back
 AJIBM  Vol.7 No.7 , July 2017
Ecopreneur Selection Using Fuzzy Similarity TOPSIS Variants
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.
Cite this paper: Noei, S. , Sargolzaei, A. , Yen, K. , Sargolzaei, S. , Wu, N. (2017) Ecopreneur Selection Using Fuzzy Similarity TOPSIS Variants. American Journal of Industrial and Business Management, 7, 864-880. doi: 10.4236/ajibm.2017.77061.
References

[1]   Wei, S.H. and Chen, S.M. (2009) A New Approach for Fuzzy Risk Analysis Based on Similarity Measures of Generalized Fuzzy Numbers. Expert Systems with Applications, 36, 589-598.
https://doi.org/10.1016/j.eswa.2007.09.033

[2]   Hsieh, C.H. and Chen, S.H. (1999) Similarity of Generalized Fuzzy Numbers with Graded Mean Integration Representation. Proceedings of the 8th International Fuzzy Systems Association World Congress, Taipei, 551-555.

[3]   Chen, C.-T., Lin, C.-T. and Huang, S.-F. (2006) A Fuzzy Approach for Supplier Evaluation and Selection in Supply Chain Management. International Journal of Production Economics, 102, 289-301.
https://doi.org/10.1016/j.ijpe.2005.03.009

[4]   Bhutta, K.S. and Huq, F. (2002) Supplier Selection Problem: A Comparison of the Total Cost of Ownership and Analytic Hierarchy Process Approaches. Supply Chain Management: An International Journal, 7, 126-135.
https://doi.org/10.1108/13598540210436586

[5]   Moore, S.B. and Manring, S.L. (2009) Strategy Development in Small and Medium Sized Enterprises for Sustainability and Increased Value Creation. Journal of Cleaner Production, 17, 276-282.
https://doi.org/10.1016/j.jclepro.2008.06.004

[6]   Giunipero, L.C., Denslow, D. and Eltantawy, R. (2005) Purchasing/Supply Chain Management Flexibility: Moving to an Entrepreneurial Skill Set. Industrial Marketing Management, 34, 602-613.
https://doi.org/10.1016/j.indmarman.2004.11.004

[7]   Forlani, D. and Mullins, J.W. (2000) Perceived Risks and Choices in Entrepreneurs’ New Venture Decisions. Journal of Business Venturing, 15, 305-322.
https://doi.org/10.1016/S0883-9026(98)00017-2

[8]   Dickson, P.R. (1996) The Static and Dynamic Mechanics of Competition: A Comment on Hunt and Morgan’s Comparative Advantage Theory. The Journal of Marketing, 102-106.
https://doi.org/10.2307/1251904

[9]   Walker, G. and Weber, D. (1987) Supplier Competition, Uncertainty, and Make-or-Buy Decisions. Academy of Management Journal, 30, 589-596.
https://doi.org/10.2307/256017

[10]   Hsu, C.-W. and Hu, A.H. (2009) Applying Hazardous Substance Management to Supplier Selection Using Analytic Network Process. Journal of Cleaner Production, 17, 255-264.
https://doi.org/10.1016/j.jclepro.2008.05.004

[11]   Çelebi, D. and Bayraktar, D. (2008) An Integrated Neural Network and Data Envelopment Analysis for Supplier Evaluation under Incomplete Information. Expert Systems with Applications, 35, 1698-1710.

[12]   Noci, G. (1997) Designing Green Vendor Rating Systems for the Assessment of a Supplier’s Environmental Performance. European Journal of Purchasing & Supply Management, 3, 103-114.

[13]   Sarkis, J. and Talluri, S. (2002) A Model for Strategic Supplier Selection. Journal of Supply Chain Management, 38, 18-28.
https://doi.org/10.1111/j.1745-493X.2002.tb00117.x

[14]   Ragatz, G.L., Handfield, R.B. and Scannell, T.V. (1997) Success Factors for Integrating Suppliers into New Product Development. Journal of Product Innovation Management, 14, 190-202.

[15]   Azzone, G. and Noci, G. (1998) Identifying Effective PMSs for the Deployment of “Green” Manufacturing Strategies. International Journal of Operations & Production Management, 18, 308-335.
https://doi.org/10.1108/01443579810199711

[16]   Humphreys, P.K., Wong, Y.K. and Chan, F.T.S. (2003) Integrating Environmental Criteria into the Supplier Selection Process. Journal of Materials Processing Technology, 138, 349-356.

[17]   Bai, C. and Sarkis, J. (2010) Green Supplier Development: Analytical Evaluation Using Rough Set Theory. Journal of Cleaner Production, 18, 1200-1210.

[18]   Tseng, M.-L., Chiang, J.H. and Lan, L.W. (2009) Selection of Optimal Supplier in Supply Chain Management Strategy with Analytic Network Process and Choquet Integral. Computers & Industrial Engineering, 57, 330-340.

[19]   Awasthi, A., Chauhan, S.S. and Goyal, S.K. (2010) A Fuzzy Multicriteria Approach for Evaluating Environmental Performance of Suppliers. International Journal of Production Economics, 126, 370-378.

[20]   Yeh, W.-C. and Chuang, M.-C. (2011) Using Multi-Objective Genetic Algorithm for Partner Selection in Green Supply Chain Problems. Expert Systems with Applications, 38, 4244-4253.

[21]   Büyüközkan, G. and Çifçi, G. (2011) A Novel Fuzzy Multi-Criteria Decision Framework for Sustainable Supplier Selection with Incomplete Information. Computers in Industry, 62, 164-174.

[22]   Zhu, Q. and Geng, Y. (2001) Integrating Environmental Issues into Supplier Selection and Management. Greener Management International, 2001, 26-40.
https://doi.org/10.9774/GLEAF.3062.2001.au.00005

[23]   Shaw, K., et al. (2012) Supplier Selection Using Fuzzy AHP and Fuzzy Multi-Objective Linear Programming for Developing Low Carbon Supply Chain. Expert Systems with Applications, 39, 8182-8192.

[24]   Govindan, K., Kannan, D. and Haq, A.N. (2010) Analyzing Supplier Development Criteria for an Automobile Industry. Industrial Management & Data Systems, 110, 43-62.
https://doi.org/10.1108/02635571011008399

[25]   Safranek, T., et al. (2009) Outbreak of Salmonella Serotype Saintpaul Infections Associated with Eating Alfalfa Sprouts-United States, 2009. Morbidity and Mortality Weekly Report, 58, 500-503.

[26]   Goodman, J.P., Meany, J.W. and Pate, L.E. (1992) The Government as Entrepreneur: Industrial Development and the Creation of New Ventures. The State of the Art on Entrepreneurship.

[27]   Kickul, J. and Gundry, L. (2002) Prospecting for Strategic Advantage: The Proactive Entrepreneurial Personality and Small Firm Innovation. Journal of Small Business Management, 40, 85-97.

[28]   Loasby, B.J. (1984) Entrepreneurs and Organisation. Journal of Economic Studies, 11, 75-88.
https://doi.org/10.1108/eb002578

[29]   Zhu, Q. and Sarkis, J. (2004) Relationships between Operational Practices and Performance among Early Adopters of Green Supply Chain Management Practices in Chinese Manufacturing Enterprises. Journal of Operations Management, 22, 265-289.

[30]   Lee, E.-K., Ha, S. and Kim, S.-K. (2001) Supplier Selection and Management System Considering Relationships in Supply Chain Management. IEEE Transactions on Engineering Management, 48, 307-318.
https://doi.org/10.1109/17.946529

[31]   Lu, L.Y.Y., Wu, C.H. and Kuo, T.-C. (2007) Environmental Principles Applicable to Green Supplier Evaluation by Using Multi-Objective Decision Analysis. International Journal of Production Research, 45, 4317-4331.

[32]   Saaty, T.L. (1999) Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World. Vol. 2, RWS Publications.

[33]   Schuwirth, L.W.T., et al. (2002) When Enough Is Enough: A Conceptual Basis for Fair and Defensible Practice Performance Assessment. Medical Education, 36, 925-930.
https://doi.org/10.1046/j.1365-2923.2002.01313.x

[34]   Peeva, M. (2013) Stakeholder Selection in Cleantech Start-Ups and Stakeholder Contribution to New Venture’s Outcome. Master’s Thesis, University of Twente, Enschede, Netherlands.

[35]   Zadeh, L.A. and Kacprzyk, J., Eds. (1999) Computing with Words in Information. In: Intelligent Systems 1: Foundations, Vol. 33, Springer, Berlin.

[36]   Sargolzaei, A., Faez, K. and Sargolzaei, S. (2011) A New Method for Foetal Electrocardiogram Extraction Using Adaptive Nero-Fuzzy Interference System Trained with PSO Algorithm. 2011 IEEE International Conference on Electro/Information Technology (EIT), Mankato, MN, 15-17 May 2011, 1-5.

[37]   Sargolzaei, A., Yen, K.K., Zeng, K., Motahari, S.M.A. and Noei, S. (2014) Impulse Image Noise Reduction Using Fuzzy-Cellular Automata Method. International Journal of Computer and Electrical Engineering, 6, 191-195.
https://doi.org/10.7763/IJCEE.2014.V6.820

[38]   Noei, S., Sargolzaei, S., Ramezanpour, H. and Sargolzaei, A. (2012) Fuzzy-Cellular Automata Method for Noise Cancelation of Satellite and Radar Images and Maps. International Journal of Emerging Technology and Advanced Engineering, 2250-2459.

[39]   Widom, J. (2004) Trio: A System for Integrated Management of Data, Accuracy, and Lineage. Technical Report.

[40]   Yoon, K.P. and Hwang, C.-L. (1995) Multiple Attribute Decision Making: An Introduction. Vol. 104, Sage Publications, Thousand Oaks, CA.
https://doi.org/10.4135/9781412985161

[41]   Sun, C.-C. (2010) A Performance Evaluation Model by Integrating Fuzzy AHP and Fuzzy TOPSIS Methods. Expert Systems with Applications, 37, 7745-7754.

[42]   Collan, M. and Luukka, P. (2014) Evaluating R&D Projects as Investments by Using an Overall Ranking from Four New Fuzzy Similarity Measure Based TOPSIS Variants. IEEE Transactions on Fuzzy Systems, 22, 505-515.
https://doi.org/10.1109/TFUZZ.2013.2260758

[43]   Shen, L., Olfat, L., Govindan, K., Khodaverdi, R. and Diabat, A. (2013) A Fuzzy Multi Criteria Approach for Evaluating Green Supplier’s Performance in Green Supply Chain with Linguistic Preferences. Resource Conservation and Recycling, 74, 170-179.

 
 
Top