Integration of fuzzy AHP and fuzzy TOPSIS for green supplier selection of mindi wood raw materials

Authors

  • Viola Indira Ramadhanti Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia https://orcid.org/0000-0002-8493-7559
  • Farida Pulansari Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia

DOI:

https://doi.org/10.30656/jsmi.v6i1.4332

Keywords:

Fuzzy AHP, Fuzzy TOPSIS, Green supplier, Green supply chain management

Abstract

The current industrial development is related to increasing global action and public awareness of environmental issues with Sustainable Development Goals (SDGs). It makes the implementation of green supply chain management on Green Supplier Evaluation and Selection (GSES) more appreciated because it can affect the company's environmental perfor­mance. Companies that can improve their environmental performance will be able to increase their competitive advantage and have an impact on increasing revenue, market share, and a more positive green image of the company. Currently, there is no research about green supplier selection in the furniture industry, especially in Indonesia. So, it is necessary to research the industry because it hugely affects environmental performance. One of the companies engaged in the furniture industry is X company. They are selecting their suppliers only based on the ownership of the environmental certification of each supplier and the quality of the raw materials. Environmental criteria such as the green image in the community and environmental competency have not been considered. On the one hand, X company also wants to realize its mission of environmental sensitivity. This study aims to select the best green supplier of mindi wood raw materials by integrating fuzzy AHP and TOPSIS because these methods can make practical multicriteria decisions and obtain more valid results. The results obtained indicate that the 8th green supplier has the highest preference value of 0.777 so it is called the best alternative for mindi wood raw materials.

Downloads

Download data is not yet available.

References

H. Mina, D. Kannan, S. M. Gholami-Zanjani, and M. Biuki, “Transition towards circular supplier selection in petrochemical industry: A hybrid approach to achieve sustainable development goals,†J. Clean. Prod., vol. 286, p. 125273, 2021, doi: https://doi.org/10.1016/j.jclepro.2020.125273.

R. Geng, S. A. Mansouri, and E. Aktas, “The relationship between green supply chain management and performance: A meta-analysis of empirical evidences in Asian emerging economies,†Int. J. Prod. Econ., vol. 183, pp. 245–258, 2017, doi: https://doi.org/10.1016/j.ijpe.2016.10.008.

K.-Q. Wang, H.-C. Liu, L. Liu, and J. Huang, “Green Supplier Evaluation and Selection Using Cloud Model Theory and the QUALIFLEX Method,†Sustainability , vol. 9, no. 5. 2017, doi: https://doi.org/10.3390/su9050688.

D. M. Utama, “AHP and TOPSIS Integration for Green Supplier Selection: A Case Study in Indonesia,†J. Phys. Conf. Ser., vol. 1845, no. 1, p. 12015, 2021, doi: https://doi.org/10.1088/1742-6596/1845/1/012015.

C. Bai, S. Kusi-Sarpong, H. Badri Ahmadi, and J. Sarkis, “Social sustainable supplier evaluation and selection: a group decision-support approach,†Int. J. Prod. Res., vol. 57, no. 22, pp. 7046–7067, Nov. 2019, doi: https://doi.org/10.1080/00207543.2019.1574042.

N. A. Abu Seman et al., “The mediating effect of green innovation on the relationship between green supply chain management and environmental performance,†J. Clean. Prod., vol. 229, pp. 115–127, 2019, doi: https://doi.org/10.1016/j.jclepro.2019.03.211.

Y. Dou, Q. Zhu, and J. Sarkis, “Green multi-tier supply chain management: An enabler investigation,†J. Purch. Supply Manag., vol. 24, no. 2, pp. 95–107, 2018, doi: https://doi.org/10.1016/j.pursup.2017.07.001.

C. Bai and J. Sarkis, “Integrating and extending data and decision tools for sustainable third-party reverse logistics provider selection,†Comput. Oper. Res., vol. 110, pp. 188–207, 2019, doi: https://doi.org/10.1016/j.cor.2018.06.005.

M. Zhang, X. Zhao, C. Voss, and G. Zhu, “Innovating through services, co-creation and supplier integration: Cases from China,†Int. J. Prod. Econ., vol. 171, pp. 289–300, 2016, doi: https://doi.org/10.1016/j.ijpe.2015.09.026.

P. Kumar, R. K. Singh, and A. Vaish, “Suppliers’ green performance evaluation using fuzzy extended ELECTRE approach,†Clean Technol. Environ. Policy, vol. 19, no. 3, pp. 809–821, 2017, doi: https://doi.org/10.1007/s10098-016-1268-y.

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., vol. 27, no. 3, pp. 707–725, 2016, doi: https://doi.org/10.1007/s00521-015-1890-3.

K. Govindan, S. Rajendran, J. Sarkis, and P. Murugesan, “Multi criteria decision making approaches for green supplier evaluation and selection: a literature review,†J. Clean. Prod., vol. 98, pp. 66–83, 2015, doi: https://doi.org/10.1016/j.jclepro.2013.06.046.

L.-J. Zhang, R. Liu, H.-C. Liu, and H. Shi, “Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications,†Math. Probl. Eng., vol. 2020, p. 1783421, 2020, doi: https://doi.org/10.1155/2020/1783421.

D. Norita, R. R. D. Satya, A. A. Munita, and A. E. Nurhidayat, “Decision Support System for Green Supplier Selection Using the Fuzzy Inference System Method in Abrasive Companies,†Int. J. Sci. Adv., vol. 2, no. 2, pp. 120–123, Apr. 2021, doi: https://doi.org/10.51542/ijscia.v2i2.7.

W. Yu, R. Chavez, M. Feng, and F. Wiengarten, “Integrated green supply chain management and operational performance,†Supply Chain Manag. An Int. J., vol. 19, no. 5/6, pp. 683–696, Jan. 2014, doi: https://doi.org/10.1108/SCM-07-2013-0225.

P. Shojaei and A. bolvardizadeh, “Rough MCDM model for green supplier selection in Iran: a case of university construction project,†Built Environ. Proj. Asset Manag., vol. 10, no. 3, pp. 437–452, Jan. 2020, doi: https://doi.org/10.1108/BEPAM-11-2019-0117.

Badan Pusat Statistik, “Angka Deforestasi Netto Indonesia Di Dalam Dan Di Luar Kawasan Hutan Tahun 2013-2020 (Ha/Th),†Badan Pusat Statistik, 2022. https://www.bps.go.id/statictable/2019/11/25/2081/angka-deforestasi-netto-indonesia-di-dalam-dan-di-luar-kawasan-hutan-tahun-2013-2020-ha-th-.html.

Kementerian Perindustrian Republik Indonesia, “Kembali Tumbuh di TW-I 2021, Industri Furnitur Genjot Investasi dan Ekspor,†Kementerian Perindustrian Republik Indonesia, 2021. https://kemenperin.go.id/artikel/22540/Kembali-Tumbuh-di-TW-I-2021,-Industri-Furnitur-Genjot-Investasi-dan-Ekspor

S. Hartini, U. Ciptomulyono, M. Anityasari, and Sriyanto, “Manufacturing sustainability assessment using a lean manufacturing tool,†Int. J. Lean Six Sigma, vol. 11, no. 5, pp. 943–971, Jan. 2020, doi: https://doi.org/10.1108/IJLSS-12-2017-0150.

J. Freeman and T. Chen, “Green supplier selection using an AHP-Entropy-TOPSIS framework,†Supply Chain Manag. An Int. J., vol. 20, no. 3, pp. 327–340, Jan. 2015, doi: https://doi.org/10.1108/SCM-04-2014-0142.

A. Gustina, A. Y. Ridwan, and M. D. Akbar, “Multi-Criteria Decision Making for Green Supplier Selection and Evaluation of Textile Industry Using Fuzzy Axiomatic Design (FAD) Method,†in 2019 5th International Conference on Science and Technology (ICST), 2019, vol. 1, pp. 1–6, doi: https://doi.org/10.1109/ICST47872.2019.9166253.

G. Cao, “A Multi-criteria Picture Fuzzy Decision-making Model for Green Supplier Selection based on Fractional Programming,†Int. J. Comput. Commun. Control, vol. 15, no. 1, pp. 1–14, Feb. 2020, doi: https://doi.org/10.15837/ijccc.2020.1.3762.

M. Rezaei and S. Ketabi, “Ranking the Banks through Performance Evaluation by Integrating Fuzzy AHP and TOPSIS Methods: A Study of Iranian Private Banks,†Int. J. Acad. Res. Accounting, Financ. Manag. Sci., vol. 6, no. 3, pp. 19–30, Jun. 2016, doi: https://doi.org/10.6007/IJARAFMS/v6-i3/2148.

G. A. M. S. Wimatsari, I. K. G. D. Putra, and P. W. Buana, “Multi-attribute decision making scholarship selection using a modified fuzzy TOPSIS,†Int. J. Comput. Sci. Issues, vol. 10, no. 1, pp. 309–317, 2013. Available: https://www.ijcsi.org/articles/Multiattribute-decision-making-scholarship-selection-using-a-modified-fuzzy-topsis.php.

D. Rahmayanti, Y. Meuthia, J. Albin, and A. Hafizh, “An integrated AHP-TOPSIS framework for determination of leading industrial sectors,†J. Sist. dan Manaj. Ind., vol. 5, no. 2, pp. 115–124, Dec. 2021, doi: https://doi.org/10.30656/jsmi.v5i2.3823.

M. Kumar, L. Misra, and G. Shekhar, “Survey in fuzzy logic: an introduction,†Int. J. Sci. Res. Dev, vol. 3, no. 6, pp. 822–824, 2015, [Online]. Available: https://ijsrd.com/Article.php?manuscript=IJSRDV3I60403.

M. Sharma, R. Gupta, and P. Acharya, “Factors influencing cloud computing adoption for higher educational institutes in India: a fuzzy AHP approach,†Int. J. Inf. Technol. Manag., vol. 19, no. 2–3, pp. 126–150, Jan. 2020, doi: https://doi.org/10.1504/IJITM.2020.106215.

M. B. Javanbarg, C. Scawthorn, J. Kiyono, and B. Shahbodaghkhan, “Fuzzy AHP-based multicriteria decision making systems using particle swarm optimization,†Expert Syst. Appl., vol. 39, no. 1, pp. 960–966, 2012, doi: https://doi.org/10.1016/j.eswa.2011.07.095.

J. A. Zapata Cortés, M. D. Arango Serna, and W. Adarme Jaimes, “Applying fuzzy extended analytical hierarchy (FEAHP) for selecting logistics software,†Ing. E Investig., vol. 32, no. 1, pp. 94–99, 2012. Available: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-56092012000100017.

P. Chatterjee and Ž. Stević, “A two-phase fuzzy AHP - fuzzy TOPSIS model for supplier evaluation in manufacturing environment,†Oper. Res. Eng. Sci. Theory Appl., vol. 2, no. 1 SE-Articles, pp. 72–90, Apr. 2019, doi: https://doi.org/10.31181/oresta1901060c.

S. ‘Uyun and I. Riadi, “A Fuzzy Topsis Multiple-Attribute Decision Making for Scholarship Selection,†TELKOMNIKA (Telecommunication Comput. Electron. Control., vol. 9, no. 1, pp. 37–46, Apr. 2011, doi: https://doi.org/10.12928/telkomnika.v9i1.643.

Z. Ebrahim Qazvini, A. Haji, and H. Mina, “A fuzzy solution approach for supplier selection and order allocation in green supply chain considering location-routing problem,†Sci. Iran., vol. 28, no. 1, pp. 0–0, Jul. 2019, doi: https://doi.org/10.24200/sci.2019.50829.1885.

M. Abbaspour, H. Fazlollahtabar, and Z. Stevic, “Multi-Objective Rough Best-Worst Method to Evaluate Sustainability of a Biofuel Energy Supply Chain,†Int. J. Ind. Eng. Prod. Res., vol. 33, no. 1, pp. 1–17, 2022, [Online]. Available: http://ijiepr.iust.ac.ir/browse.php?a_id=1151&sid=1&slc_lang=en.

E. Durmić, Ž. Stević, P. Chatterjee, M. Vasiljević, and M. Tomašević, “Sustainable supplier selection using combined FUCOM – Rough SAW model,†Reports Mech. Eng., vol. 1, no. 1, pp. 34–43, May 2020, doi: https://doi.org/10.31181/rme200101034c.

E. K. Zavadskas, Z. Turskis, Ž. Stević, and A. Mardani, “Modelling Procedure for the Selection of Steel Pipes Supplier by Applying Fuzzy AHP Method,†Oper. Res. Eng. Sci. Theory Appl., vol. 3, no. 2, pp. 39–53, Aug. 2020, doi: https://doi.org/10.31181/oresta2003034z.

Downloads

Published

2022-06-13

How to Cite

[1]
V. I. Ramadhanti and F. Pulansari, “ Integration of fuzzy AHP and fuzzy TOPSIS for green supplier selection of mindi wood raw materials”, j. sist. manaj. ind., vol. 6, no. 1, pp. 1–13, Jun. 2022.

Issue

Section

Research Article