Supplier selection considering sustainability measures: an application of weight restriction fuzzy-DEA approach
RAIRO - Operations Research - Recherche Opérationnelle, Tome 52 (2018) no. 3, pp. 981-1001.

With the growing of consumer awareness in environmental and social issues sustainable development has become an essential element in supply chain management. Supplier evaluation and selection is one of the main strategic decisions for purchasing management in supply chain. This paper use Data Envelopment Analysis (DEA) to propose a new model for evaluation and ranking of a given set of suppliers from sustainable point of view. The proposed model integrates the fuzzy set theory and DEA to consider the decision makers’ preferences and handle the ambiguity and uncertainty in supplier selection process. For this purpose, linguistic values in the form of triangular fuzzy numbers are used to assess the weights of criteria, sub-criteria, and the ratings of suppliers’ performance with respect to sub-criteria. Then, a fuzzy-DEA model, using α-cut approach, is developed considering weight constraints. An application from Supplying Automotive Parts Company (SAPCO) Company, which is one of the largest suppliers of automotive parts in the Middle-East, is presented to show the applicability of the proposed model. Finally, the proposed weight restriction fuzzy-DEA model is validated through comparing with one of the recent supplier selection methods.

DOI : 10.1051/ro/2017033
Classification : 90-XX
Mots clés : Data envelopment analysis, Sustainable development, Supplier selection, Fuzzy set theory, α-cut approach
Amindoust, Atefeh 1

1
@article{RO_2018__52_3_981_0,
     author = {Amindoust, Atefeh},
     title = {Supplier selection considering sustainability measures: an application of weight restriction {fuzzy-DEA} approach},
     journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
     pages = {981--1001},
     publisher = {EDP-Sciences},
     volume = {52},
     number = {3},
     year = {2018},
     doi = {10.1051/ro/2017033},
     zbl = {1405.90148},
     mrnumber = {3885520},
     language = {en},
     url = {http://archive.numdam.org/articles/10.1051/ro/2017033/}
}
TY  - JOUR
AU  - Amindoust, Atefeh
TI  - Supplier selection considering sustainability measures: an application of weight restriction fuzzy-DEA approach
JO  - RAIRO - Operations Research - Recherche Opérationnelle
PY  - 2018
SP  - 981
EP  - 1001
VL  - 52
IS  - 3
PB  - EDP-Sciences
UR  - http://archive.numdam.org/articles/10.1051/ro/2017033/
DO  - 10.1051/ro/2017033
LA  - en
ID  - RO_2018__52_3_981_0
ER  - 
%0 Journal Article
%A Amindoust, Atefeh
%T Supplier selection considering sustainability measures: an application of weight restriction fuzzy-DEA approach
%J RAIRO - Operations Research - Recherche Opérationnelle
%D 2018
%P 981-1001
%V 52
%N 3
%I EDP-Sciences
%U http://archive.numdam.org/articles/10.1051/ro/2017033/
%R 10.1051/ro/2017033
%G en
%F RO_2018__52_3_981_0
Amindoust, Atefeh. Supplier selection considering sustainability measures: an application of weight restriction fuzzy-DEA approach. RAIRO - Operations Research - Recherche Opérationnelle, Tome 52 (2018) no. 3, pp. 981-1001. doi : 10.1051/ro/2017033. http://archive.numdam.org/articles/10.1051/ro/2017033/

[1] Y. Aĝan, C. Kuzey, M.F. Acar and A. Aç1kgöz, The relationships between corporate social responsibility, environmental supplier development, and firm performance. J. Cleaner Production 112 (2016) 1872–1881 | DOI

[2] A. Amindoust and A. Saghafinia, Textile supplier selection in sustainable supply chain using a modular fuzzy inference system model. J. Textile Institute 108 (2017) 1250–1258

[3] A. Amindoust, A. Shamsuddin and A. Saghafinia, Using data envelopment analysis for green supplier selection in manufacturing under vague environment, in: Advanced Materials Research. Trans Tech Publication 622–623 (2013) 1682–1685

[4] A. Azadeh and S. Alem, A flexible deterministic, stochastic and fuzzy Data Envelopment Analysis approach for supply chain risk and vendor selection problem: Simulation analysis. Expert Syst. Appl. 37 (2010) 7438–7448 | DOI

[5] G. Aydin Keskin, S. Lhan and C.  Özkan, The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection. Expert Systems Appl. 37 (2010) 1235–1240 | DOI

[6] A. Amindoust and A. Saghafinia, Supplier evaluation using fuzzy inference systems, in: Supply Chain Management Under Fuzziness, Springer (2014) 3–19

[7] A. Awasthi, S.S. Chauhan and S. Goyal, A fuzzy multicriteria approach for evaluating environmental performance of suppliers. Inter. J. Production Econ. 126 (2010) 370–378 | DOI

[8] A. Afzali, M.K. Rafsanjani and A.B. Saeid, A Fuzzy Multi-objective Linear Programming Model Based on Interval-valued Intuitionistic Fuzzy Sets for Supplier Selection. Int. J. Fuzzy Syst. 18 (2016) 864–874 | DOI | MR

[9] A. Amindoust, S. Ahmed, A. Saghafinia and A. Bahreininejad, Sustainable supplier selection: A ranking model based on fuzzy inference system. Appl. Soft Comput. 12 (2012) 1668–1677 | DOI

[10] G. Buyukozkan and G. Çifçi, A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information. Comput. Industry 62 (2010) 164–174 | DOI

[11] C. Bai and J. Sarkis, Integrating sustainability into supplier selection with grey system and rough set methodologies. Inter. J. Production Econ. 124 (2010) 252–264 | DOI

[12] J. Chai, J.N. Liu and E.W. Ngai, Application of decision-making techniques in supplier selection: A systematic review of literature. Expert Syst. Appl. 40 (2013) 3872–3885 | DOI

[13] R.G. Dyson, R. Allen, A.S. Camanho, V.V. Podinovski, C.S. Sarrico and E.A. Shale, Pitfalls and protocols in DEA. Eur. J. Oper. Res. 132 (2001) 245–259 | DOI | Zbl

[14] S.Z.M. Dawal, F. Tahriri, Y.H. Jen, K. Case, N.H. Tho, A. Zuhdi, M. Mousavi, A. Amindoust and N. Sakundarini, Empirical evidence of AMT practices and sustainable environmental initiatives in malaysian automotive SMEs. Inter. J. Precision Eng. Manufacturing 16 (2015) 1195–1203 | DOI

[15] A. Fallahpour, A. Amindoust, J. Antuchevičiene and M. Yazdani, Nonlinear genetic-based model for supplier selection: a comparative study. Technological and Economic Development of Economy 23 (2017) 178–195 | DOI

[16] A. Fallahpour, E.U. Olugu, S.N. Musa, D. Khezrimotlagh and K.Y. Wong, An integrated model for green supplier selection under fuzzy environment: application of data envelopment analysis and genetic programming approach. Neural Comput. Appl. 27 (2016) 707–725 | DOI

[17] S.-K.  Hu, M.-T. Lu, G.-H. Tzeng, Improving mobile commerce adoption using a new hybrid fuzzy MADM model. Inter. J. Fuzzy Syst. 17 (2015) 399–413 | DOI

[18] P. Humphreys, Y. Wong and F. Chan, Integrating environmental criteria into the supplier selection process. J. Materials Processing Technology 138 (2003) 349–56 | DOI

[19] C.W. Hsu and A.H. Hu, Applying hazardous substance management to supplier selection using analytic network process. J. Cleaner Production 17 (2009) 255–264 | DOI

[20] A. Hatami−Marbini, A. Emrouznejad and M. Tavana, A taxonomy and review of the fuzzy data envelopment analysis literature: two decades in the making. Eur. J. Operat. Res. 214 (2011) 457–472 | DOI | MR | Zbl

[21] J. Ignatius, M.-R. Ghasemi, F. Zhang, A. Emrouznejad and A. Hatami−Marbini, Carbon efficiency evaluation: An analytical framework using fuzzy DEA. Eur. J. Oper. Res. 253 (2016) 428–440 | DOI | MR | Zbl

[22] K. Govindan, S. Rajendran, J. Sarkis and P. Murugesan, Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. J. Cleaner Production 98 (2015) 66–83 | DOI

[23] M.-R. Ghasemi, J. Ignatius and A. Emrouznejad, A bi-objective weighted model for improving the discrimination power in MCDEA. Europ. J. Operat. Res. 233 (2014) 640–650 | DOI | MR | Zbl

[24] A.H.I. Lee, H.-Y. Kang, C.-F. Hsu and H.-C. Hung, A green supplier selection model for high-tech industry. Expert Systems with Appl. 36 (2009) 7917–7927 | DOI

[25] M.S. Memon, Y.H. Lee and S.I. Mari, Group multi-criteria supplier selection using combined grey systems theory and uncertainty theory. Expert Syst. Appl. 42 (2015) 7951–7959 | DOI

[26] F. Mafakheri, M. Breton and A. Ghoniem, Supplier selection-order allocation: A two-stage multiple criteria dynamic programming approach, Inter. J. Production Econ. 132 (2011) 52–57 | DOI

[27] H.T. Nguyen, S. Sriboonchitta and B. Wu, A statistical basis for fuzzy engineering economics. Inter. J. Fuzzy Syst. 17 (2015) 1–11 | DOI | MR

[28] I.J. Orji and S. Wei, An innovative integration of fuzzy-logic and systems dynamics in sustainable supplier selection: A case on manufacturing industry. Comput. Industrial Eng. 88 (2015) 1–12 | DOI

[29] J. Puri and S.P. Yadav, A Fully Fuzzy DEA Approach for Cost and Revenue Efficiency Measurements in the Presence of Undesirable Outputs and Its Application to the Banking Sector in India. Inter. J. Fuzzy Syst. 18 (2016) 212–226 | DOI | MR

[30] M. Punniyamoorthy, P. Mathiyalagan and G. Vasishta, A strategic model using structural equation modeling and fuzzy logic in supplier selection. Expert Syst. Appl. 38 (2010) 458–74 | DOI

[31] R. Kuo, Y. Wang and F. Tien, Integration of Artificial Neural Network and MADA Methods for Green Supplier Selection. J. Cleaner Production 18 (2010) 1161–1170 | DOI

[32] S. Seuring, A Review of Modeling Approaches for sustainable Supply Chain management. Decision Support Syst. 54 (2013) 1513–1520 | DOI

[33] P.R.B. Stefan Schaltegger, Dr, C. Bai and J. Sarkis, Determining and applying sustainable supplier key performance indicators. Supply Chain Management: Inter. J. 19 (2014) 275–291 | DOI

[34] R.F. Saen, Using super-efficiency analysis for ranking suppliers in the presence of volume discount offers. Inter. J. Phys. Distribution Logistics Manag. 38 (2008) 637–651 | DOI

[35] J. Sarkis and D.G. Dhavale, Supplier selection for sustainable operations: A triple-bottom-line approach using a Bayesian framework. Inter. J. Production Econ. 166 (2015) 177–191 | DOI

[36] R.F. Saen, Restricting weights in supplier selection decisions in the presence of dual-role factors. Appl. Math. Model. 34 (2010) 2820–2830 | DOI | MR | Zbl

[37] M. Tavana, A. Fallahpour, D. Di Caprio and F.J. Santos-Arteaga, A hybrid intelligent fuzzy predictive model with simulation for supplier evaluation and selection. Expert Syst. Appl. 61 (2016) 129–144 | DOI

[38] R.G. Thompson, L.N. Langemeier, C.-T. Lee, E. Lee and R.M. Thrall, The role of multiplier bounds in efficiency analysis with application to Kansas farming. J. Econom. 46 (1990) 93–108 | DOI

[39] Y. Takamura and K. Tone, A comparative site evaluation study for relocating Japanese government agencies out of Tokyo* 1. Socio-Economic Planning Sci. 37 (2003) 85–102 | DOI

[40] M.L. Tseng and A.S. Chiu, Evaluating firm’s green supply chain management in linguistic preferences. J. Cleaner Production 40 (2010) 22–31 | DOI

[41] R. Wilding, B. Wagner, C. Gimenez and E.M. Tachizawa, Extending sustainability to suppliers: a systematic literature review. Supply Chain Management: Inter. J. 17 (2012) 531–543 | DOI

[42] M. Wang, J.A. Paulson, H. Yan and H. Shi, An Adaptive Model Predictive Control Strategy for Nonlinear Distributed Parameter Systems using the Type-2 Takagi–Sugeno Model. Inter. J. Fuzzy Syst. 18 (2016) 792–805 | DOI | MR

[43] W.C. Yeh and M.C. Chuang, Using multi-objective genetic algorithm for partner selection in green supply chain problems. Expert Syst. Appl. 38 (2010) 4244–4253 | DOI

[44] Q. Zhu, Y. Dou and J. Sarkis, A portfolio-based analysis for green supplier management using the analytical network process. Supply Chain Management: An Inter. J. 15 (2010) 306–319 | DOI

[45] K. Zimmer, M. Fröhling and F. Schultmann, Sustainable supplier management–a review of models supporting sustainable supplier selection, monitoring and development. Inter. J. Production Res. 54 (2016) 1412–1442 | DOI

Cité par Sources :