Evaluasi Kinerja Pemasok Bahan Baku Menggunakan Metode Fuzzy Promethee

Tigar Putri Adhiana, Hasyim Asyari, Maria Krisnawati

Abstract

Peran Industri Kecil Menengah (IKM) sangat penting untuk memasarkan produk atau layanan lokal ke pasar internasional serta bersaing dengan perusahaan pesaing multinasional di pasar lokal. Go Work Handy Craft adalah sebuah IKM yang memproduksi beberapa jenis sapu di Purbalingga. Permasalahan yang dihadapi Go Work Handy Craft adalah adanya keterlambatan pasokan bahan baku bambu dari pemasok. Apabila terjadi keterlambatan pasokan bahan baku bambu, maka proses produksi dihentikan sementara sehingga mengakibatkan produktivitas berkurang. Penelitian ini bertujuan untuk menilai kinerja pemasok secara keseluruhan dengan menggunakan kriteria kinerja. Metode yang digunakan adalah Fuzzy Promethee untuk mengevaluasi kinerja pemasok bahan baku pada IKM. Dari wawancara dan pengolahan data diperoleh bahwa Go Work Handy Craft memiliki 4 (empat) pemasok bahan baku bambu. Kriteria penilaian kinerja yang diperoleh melalui wawancara oleh pemilik IKM adalah harga yang kompetitif, ketersediaan barang, kualitas barang, lama waktu pengiriman dan kapasitas pengiriman. Dari pengolahan data diperoleh bahwa kinerja pemasok 2 yang paling baik dari pemasok lainnya dengan nilai Promethee II terbesar yaitu 0,0203.

References

Paul S K. Supplier selection for managing supply risks in supply chain: a fuzzy approach. International Journal of Advanced Manufacturing Technology. 2015; 79(1-4):657-664.

Pujawan I N and Mahendrawathi, Supply Chain Management 3rd ed. Yogyakarta. ANDI. 2017.

Sivapornpunlerd N and Setamanit S. Supplier Performance Evaluation : A Case Study of Thai Offshore Oil & Gas Exploration and Production Company. Journal of Business and Behavior Sciences. 2014; 21(1):647-660.

Weber C A., Current J R, and Benton W C. Vendor selection criteria and methods. European Journal of Operational Research. 1991; 50(1): 2-18.

Agarwal P., Sahai P., Mishra V., Bag M., and Singh V. A review of multi-criteria decision making techniques for supplier evaluation and selection. International Journal of Industrial Engineering Computations. 2011; 2(4): 801-810.

Liu T., Deng Y., and Chan F. Evidential Supplier Selection Based on DEMATEL and Game Theory. International Journal of Fuzzy System. 2018; 20(4):1321-1333

Tahriri F., Osman M R., Ali A., Yusuff R M, and Esfandiary A. AHP approach for supplier evaluation and selection in a steel manufacturing company. Journal of Industrial Engineering and Management. 2008; 1(2): 54-76.

Asamoah D., Annan J., and Nyarko s. AHP Approach for Supplier Evaluation and Selection in a Pharmaceutical Manufacturing Firm in Ghana. International Journal of Business and Management. 2012; 7(10): 49-62.

Das D and Barman D. An AHP framework of supplier evaluation with reference to high-value and critical items: A case study. International Journal of Services and Operations Management 2010; 7(4): 465-482.

Nazeri A., Meftahi H, and Shaharoun M. Supplier Evaluation and Selection in SCM using Fuzzy AHP. 3rd International Conference on Advanced Management Science. 2011; 143–148.

Pangestu Y. Pemilhan Pemasok Bahan Baku Kayu Handle Raket Dengan Menggunakan Metode Fuzzy Analitycal Hierarchy Process. Jurnal Teknik Industri. 2018; 16(1): 31-42.

Kilincci O and Onal S A. Fuzzy AHP approach for supplier selection in a washing machine company. Expert System with Application. 2011; 38(8): 9656-9664

Ginting E S., Pujangkoro S, and Sinaga T S. Evaluasi Supplier Bahan Baku Pembuatan Tiang Pancang pada Pt. XYZ dengan Menggunakan AHP dan Loss Function. Jurnal Teknik Industri FT USU. 2014; 3(1): 1-5.

Keskin G A. Using integrated fuzzy DEMATEL and fuzzy C: Means algorithm for supplier evaluation and selection. International Journal of Production research. 2015; 53(12): 3586-3602.

Munir M. Pemilihan Supplier Sodium Hiroxide Liquid Integrasi Dengan Metode AHP – Topsis. Jurnal Teknik Industri. 2018: 17(2); 62-71

Budianto A G. Pemilihan Green Supplier Berdasarkan Fuzzy AHP Dengan Metode Fuzzy Topsis. Jurnal Teknik Industri. 2018: 17(2); 84-91

Jain V., Sangaiah A K., Sakhuja S., Thoduka N, and Aggarwal R. Supplier selection using fuzzy AHP and TOPSIS: a case study in the Indian automotive industry. Neural Computing and Applications. 2018; 29(7): 555-564.

Abdullah L., Chan W and Afshari A. Application of PROMETHEE method for green supplier selection: a comparative result based on preference functions. Journal of Industrial Engineering International. 2018; 15(2): 271-285.

Mahmoudi A., Sadi-Nezhad S and MakuiA. An extended fuzzy PROMETHEE based on Fuzzy Rule Based System for supplier selection problem. Indian Journal of Science and Technology. 2015; 8(31): 1-11.

Tabaraee E., Ebrahimnejad S and Bamdad S. Evaluation of power plants to prioritise the investment projects using fuzzy PROMETHEE method. International Journal of Sustainable Energy. 2018; 37(10): 941-955.

Murat S., Kazan H and Coskun S S. An Application for Measuring Performance Quality of Schools by Using the PROMETHEE Multi Criteria Decision Making Method. Procedia – Social and Behavioral Sciences. 2015; 195: 729-738.

Polat G. Subcontractor selection using the integration of the AHP and PROMETHEE methods. Journal of Civil Engineering and Management. 2015; 22(8): 1042-1054.

Dickson G W. An Analysis Of Vendor Selection Systems And Decisions. Journal of Purchasing. 1966: 2(1); 5–17

Zadeh L. Fuzzy sets. Information and Control, 1965: 8(3); 338-353.

Senvar O., Tuzkaya G., Kahraman C. Multi Criteria Supplier Selection Using Fuzzy PROMETHEE Method. Supply Chain Management Under Fuzziness: Recent Development and Techniques. Springer. 2014

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