Determination of Performance Indicators For Cooking Oil Logistic Using Fuzzy-Delphi Method
DOI:
https://doi.org/10.38035/sjtl.v1i1.38Keywords:
Cooking Oil, Fuzzy Delphi Method, Logistic, Performance IndicatorsAbstract
Logistic issues are still become a serious matter for Indonesian society. This problem should be seriously considered by Indonesia. Many sectors that support logistic growth should be arranged properly in order to increase the value of performance of logistic in Indonesia. Agriculture sector is one of the sectors that has important role in national development integration. Unfortunately, production growth for this sector is still relatively low compared to some other sectors with value 1.85%. One of the agricultural sectors in Indonesia was palm oil plantations that produces cooking oil. Currently, Indonesia was suspected by having problems on the cooking oil distribution. Cooking oil distribution margins are tending to increase, while margin is one of the efficiency indicators in distribution system. The increasing of distribution margin indicates that the distribution of the commodity is inefficient. Thus, we need to improve efficiency and effectiveness in all logistics activities. The issue is, what are the relevant indicators to manage the logistics of cooking oil in an effort to improve the efficiency and effectiveness. Determination of performance indicators can be done by getting the opinion and consensus of the experts who understand the logistics of cooking oil. The method used is the Delphi method that will integrated with fussy method. The method is called Fuzzy-Delphi method.
References
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Setijadi. (2015a). Fungsi dan Aktivitas Pergudangan (Warehousing). Supply Chain Indonesia.
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Arvis, J. F., et al. (2014). Trade Logistic in The Global Economy: The Logistic Performance and Its Indicators. International Trade Unit. The World Bank
Avisena, Muhammad. (2016, March 25). ALFI: Indonesia Perlu Payung Hukum Logistik dan Supply Chain. Retrieved February 20, 2017 from http://industri.bisnis.com/read/20160325/98/512881/alfi-indonesia-perlu- payung-hukum-logistik-dan-supply-chain#
Bagal, Sanjeev. (December 28, 2015). Difference Between Logistics and Supply Chain Management. Retrieved April 30, 2016, from http://LinkedIn.com/
Bahauddin, Achmad dkk. (2014). Identifikasi Indikator Kinerja Green Supply Chain Management Di Industri Baja Hilir. Seminar Nasional IENACO. ISSN: 2337-4349
Chandra, Agung. (2014). Pengukuran Kinerja Gudang dengan Menggunakan Metode Balanced Scorecard – Studi Kasus pada PT. GMS Jakarta. Jurnal Metris 15, 105-110
Chang, P. L., Hsu, C. W., & Chang, P. C. (2011). Fuzzy Delphi Method for Evaluating Hydrogen Production Technologies. International journal of hydrogen energy, 36(21), 14172-14179.
Frazelle, Edward. (2002). Supply Chain Strategy: The Logistic of Supply Chain Management. United States of America. Mc-Graw Hill Inc.
Ganesh, M. (2006). Introduction to Fuzzy Sets and Fuzzy Logic. PHI Learning Pvt. Ltd.
Gaspersz, V. (2007). Lean Six Sigma. Jakarta: PT. Gramedia Pustaka Utama.
Giannarou, L., & Zervas, E. (2014). Using Delphi technique to build consensus in practice. International Journal of Business Science and Applied Management, 9(2), 65-82.
Hadiguna, R.A. (2016). Manajemen Rantai Pasok Agroindustri: Pendekatan Berkelanjutan untuk Pengukuran Kinerja dan Penilaian Risiko. Andalas University Press
Hadiguna, R.A, Jonrinaldi. (2015). Indikator Dan Metrik Lean dan Agile Pada Rantai Pasok Minyak Goreng. Seminar Nasional: Sains, Rekayasa & Teknologi UPH 2015. 6-7 Mei 2015. Kampus UPH Karawaci, Tangerang.
Hadinata, Harris. (2015, 06 April). Kebutuhan Minyak Goreng Tahun Ini 5,2 juta Ton. Kontan. Diakses 20 Mei 2016, dari http://kontan.co.id.
Ho, Y.F. and Wang, H.L. (2008). Applying Fuzzy Delphi Method to Select the Variables of a Sustainable Urban System Dynamics Model. In Proceedings of the 26th International Conference of System.
Isyana, AD. (2012). Optimalisasi Pelaksanaan Kegiatan Distribusi Subsidi Minyak Goreng Bagi Masyarakat Berpenghasilan Rendah di Kota Depok. Jurnal. Universitas Gunadarma.
Kabir, G., & Sumi, R. S. (2013). Integrating Fuzzy Delphi With Fuzzy Analytic Hierarchy Process for Multiple Criteria Inventory Classification. Journal of Engineering, Project, And Production Management, 3(1), 22.
Kementrian Pertanian Republik Indonesia. Laporan Laju Pertumbuhan PDB Atas Harga Konstan Tahun 2014 sampai dengan 2016. Retrieved June 20, 2016, from https://aplikasi2.pertanian.go.id/pdb/rekappdblaju.php
Khair, Fauzi. (2014). Pengukuran Kinerja Rantai Pasok dengan Metode Balance Score Card: Studi Kasus PT. Incasi Raya. Tugas Akhir. Jurusan Teknik Industri, Fakultas Teknik, Universitas Andalas.
Kuo, Y. F., & Chen, P. C. (2008). Constructing Performance Appraisal Indicators for Mobility of The Service Industries Using Fuzzy Delphi Method. Expert Systems with Applications, 35(4), 1930-1939.
Krauth, E., Moonen, H., Popova, V., & Schut, M. C. (2005, May). Performance Measurement and Control in Logistics Service Providing. In ICEIS (2), 239- 247.
Lee, S. Y., & Klassen, R. D. (2008). Drivers and Enablers That Foster Environmental Management Capabilities in Small?And Medium?Sized Suppliers in Supply Chains. Production and Operations management, 17(6), 573-586.
Ma, Z., Shao, C., Ma, S., & Ye, Z. (2011). Constructing Road Safety Performance Indicators Using Fuzzy Delphi Method and Grey Delphi Method. Expert Systems with Applications. 38(3), 1509-1514.
Mulyadi, Dedi. (2011). Pengembangan Sistem Logistik yang Efisien dan Efektif dengan Pendekatan Supply Chain Management. Jurnal Riset Industri, 5(3), 275-282. Kementrian Perindustrian.
Olugu, E. U., & Wong, K. Y. (2011). Fuzzy Logic Evaluation of Reverse Logistics Performance in The Automotive Industry. Scientific Research and Essays, 6(7), 1639-1649.
Ploos van Amstel, R., & D'hert, G. (1996). Performance indicators in distribution.
The International Journal of Logistics Management, 7(1), 73-82
Ponangsih. (2011). Penggunaan Fuzzy Query Database Untuk Pengembangan Model Evaluasi Umpan Balik Terhadap Kinerja Dosen. Thesis. Jurusan Teknik Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Sumatera Utara.
Ramlie, Artini., et al. (2014). Aplikasi Teknik Fuzzy Delphi Terhadap Keperluan Aspek ‘Riadhah Ruhiyyah’ Untuk Profesionalisme Perguruan Pendidikan Islam. The Online Journal of Islamic Education, 4(2).
Roy, T. K., & Garai, A. (2012). Intuitionistic Fuzzy Delphi Method: More Realistic and Interactive Forecasting Tool. Notes Intuit Fuzzy Sets, 18(2), 37-50.
Stolka, O. (2014). The Development of Green Logistics for Implementation Sustainable Development Strategy in Companies. Procedia-Social and Behavioral Sciences, 151, 302-309.
Setijadi. (2015a). Fungsi dan Aktivitas Pergudangan (Warehousing). Supply Chain Indonesia.
Setijadi. (2015b). Introduction to Logistics Management. Supply Chain Indonesia. Setijadi. (2015c). Manajemen Persediaan. Supply Chain Indonesia.
Setijadi. (2015d). Transportasi. Supply Chain Indonesia.
Skulmoski, G. J., Hartman, F. T., & Krahn, J. (2007). The Delphi method for graduate research. Journal of information technology education, 6, 1.
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Published
2023-04-01
How to Cite
Saputra, E. . (2023). Determination of Performance Indicators For Cooking Oil Logistic Using Fuzzy-Delphi Method. Siber Journal of Transportation and Logistics, 1(1), 13–23. https://doi.org/10.38035/sjtl.v1i1.38
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