Pengembangan Model Pemilihan Green Supplier di Kawasan Industri Cikarang

Filson Maratur Sidjabat, Johan Krisnanto Runtuk


Nowadays, innovation and improvement in the industrial and logistic sector are significantly increasing sustainability issues and awareness. The concept of green supply chain focuses on the supply chain management that aims to reduce the environmental impacts, increasing the natural and ecological efficiency. The companies that are willing to accelerate their environmental performances will enhance competitive advantage that will bring income and market share enhancement, also a more positive corporate image. From the literature study, several green supplier criteria were identified and then be selected and categorized by interviewing the experts. From those results, ten criteria been developed in the model by using MCDM methods, which are DEMATEL and ANP. There are five respondents as experts in the environmental engineering field and industrial estate management, who know best the condition in Cikarang Industrial Estate. Five top criteria that have the highest weight number are Environmental management system (EMS), PROPER assessment from KLHK Indonesia (PROPER), Pollution prevention and control (PLC), Energy management/efficiency (EM), and Green design or R&D (GD).


Supply Chain; Cikarang Industrial Estate; DEMATEL; ANP, Green Supplier Criteria

Full Text:



Awasthi, A., Kannan, G., 2016. Green supplier development program selection using NGT and VIKOR under fuzzy environment. Comput. Ind. Eng. 91, 100–108.

Bai, C., & Sarkis, J. (2010). “Green supplier development: Analytical evaluation using rough set theory.” Journal of Cleaner Production, 18(12), 1200–1210.

Bali, O., Kose, E., Gumus, S., 2013. Green supplier selection based on IFS and GRA. Grey Syst. Theory Appl. 3, 158–176.

Buyukozkan, Gulcin and Cifci, Gizem, (2011), “A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers”, Expert System with Applications.

Cinelli, M., Coles, S.R., Kirwan, K., (2014), “Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment”, Ecol. Indic. 46, pp. 138-148.

Demir, L., Akpınar, M.E., Araz, C., Ilgın, M.A., 2018. A green supplier evaluation system based on a new multi-criteria sorting method: VIKORSORT. Expert Syst. Appl. 114, 479–487.

DETR. (1999). Sustainable Distribution A Strategy. Office of the Deputy Prime Minister (ODPM), UK.

Dobos, I., Vörösmarty, G., 2014. Green supplier selection and evaluation using DEA-type composite indicators. Int. J. Prod. Econ. 157, 273–278.

Emas, R. (2015), “The Concept of Sustainable Development: Definition and Defining Principles”, Florida International University, Miami.

Ewertowska A, Galán-Martín A, Guillén-Gosálbez G, Gavaldá J, Jiménez L, (2016), “Assessment of the environmental efficiency of the electricity mix of the top European economies via data envelopment analysis”, Journal of Cleaner Production.

Ewertowska A, Pozo C, Gavaldá J, Jiménez L, Guillén-Gosálbez G, (2017), Combined use of life cycle assessment, data envelopment analysis and Monte Carlo simulation forquantifying environmental efficiencies under uncertainty, Journal of Cleaner Production.

Freeman, J., Chen, T., 2015. Green supplier selection using an AHP-Entropy-TOPSIS framework. Supply Chain Manag. Int. J. 20, 327–340.

Galankashi, M.R., Chegeni, A., Soleimanynanadegany, A., Memari, A., Anjomshoae, A., Helmi, S.A., Dargi, A., 2015. Prioritizing Green Supplier Selection Criteria Using Fuzzy Analytical Network Process. Procedia CIRP 26, 689–694.

Gosalbez, Gonzalo G., (2011), “A novel MILP-based objective reduction method for multi-objective optimization: Application to environmental problems”, Computer and Chemical Engineering, 35, pp. 1469-1477.

Gumus, A. T. (2009). “Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology.” Expert Systems with Applications, 768 36, 4067–4074.

Hamdan, S., Cheaitou, A., 2017. Supplier selection and order allocation with green criteria: An MCDM and multi-objective optimization approach. Comput. Oper. Res. 81, 282–304.

Hashemi, S.H., Karimi, A., Tavana, M., 2015. An integrated green supplier selection approach with analytic network process and improved Grey relational analysis. Int. J. Prod. Econ. 159, 178–191.

Jabbour, A.B.L.S., Jabbour, C.J.C., 2009. Are supplier selection criteria going green? Case studies of companies in Brazil. Ind. Manag. Data Syst. 109, 477–495.

Kannan, D., Jabbour, A.B.L. de S., Jabbour, C.J.C., 2014. Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company. Eur. J. Oper. Res. 233, 432–447.

Kim, I., Min, H., 2011. Measuring supply chain efficiency from a green perspective. Manag. Res. Rev. 34, 1169–1189.

Lee, A. H. I., Kang, Y., Hsu, H. C-F., & Hung, H.-C. (2009). “A green supplier selection model for high-tech industri”. Expert Systems with Applications, 36, pp. 7917–7927.

Lee, T. (Jiun‐Shen), Phuong Nha Le, T., Genovese, A., Koh, L.S.C., 2011. Using FAHP to determine the criteria for partner’s selection within a green supply chain: The case of hand tool industri in Taiwan. J. Manuf. Technol. Manag. 23, 25–55.

Martin, Angel G, Gosalbes, G.G., Stamford, Laurence, (2016), “Enhanced data envelopment analysis for sustainability assesment: A novel methodology and application to electricity technologies”, Computer and Chemical Engineering, 90, pp. 188-200.

Min, H., Galle, W.P., 2001. Green purchasing practices of US firms. Int. J. Oper. Prod. Manag. 21, 1222–1238.

Saaty, T.L., (1999), “Decision Making for Leaders”, 3rd ed., RWS Publications: Pittsburgh, PA.

Sahu, A.K., Datta, S., Mahapatra, S.S., 2016. Evaluation and selection of suppliers considering green perspectives: Comparative analysis on application of FMLMCDM and fuzzy-TOPSIS. Benchmarking Int. J. 23, 1579–1604.

Senthilkumaran, D., Ong, S.K., Tan, B.H. and Nee, A.Y.C. (2001), “Environmental life cycle cost analysis of products”, Environmental Management and Health, Vol. 12 No. 3, pp. 260-276.

Tzeng, G.H., Chiang, C.H., Li, C.W. (2007). “Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATE”L. Expert Systems with Applications, 32 (4), 1028–1044.

Van Hock, R. I., & Erasmus (2000). “From reversed logistics to green supply chains.” Logistics Solutions, 2, 28–33.

Vijayvargy, L., Thakkar, J., Agarwal, G., 2017. Green supply chain management practices and performance: The role of firm-size for emerging economies. J. Manuf. Technol. Manag. 28, 299–323.

WCDE (1987), “Our Common Future”, Oxford University Press, Oxford.

Yazdani, M., Chatterjee, P., Zavadskas, E.K., Hashemkhani Zolfani, S., 2017. Integrated QFD-MCDM framework for green supplier selection. J. Clean. Prod. 142, 3728–3740.

Zhu, Q., Dou, Y., Sarkis, J., 2010. A portfolio‐based analysis for green supplier management using the analytical network process. Supply Chain Manag. Int. J. 15, 306–319.


Copyright (c) 2019 Filson Maratur Sidjabat, Johan Krisnanto Runtuk

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Journal of Environmental Engineering and Waste Management Published by PresUniv Press, in collaboration with IESA and APIK Indonesia Network