Determination of Logistics Risk of Palm Cooking Oil Using Fuzzy Delphi Method and Fuzzy Analytical Hierarchy Process

Authors

  • Niknik Ahmad Munawar Universiti Malaysia Terengganu, Terengganu
  • M. Rizky Mahaputra Mercu Buana University, Jakarta

DOI:

https://doi.org/10.38035/sjtl.v1i1.8

Keywords:

Logistics, Palm Cooking Oil, Risk

Abstract

Determination of risk sources and risk indicators is carried out by conducting literature studies and expert assessments. The results of the expert assessment are processed using the Delphi fuzzy and AHP fuzzy methods. The Delphi fuzzy method is used to make decisions regarding risk sources and risk indicators based on expert opinion. The AHP fuzzy method is used to determine the weight and priority order of risk sources and risk indicators for palm cooking oil logistics. The risk sources obtained based on the study of the literature are as many as 10 risk sources which are then selected 8 risks that are approved by experts. While the risk indicators obtained based on the study of the literature are as many as 34 indicators, then as many as 23 indicators are considered important by experts. Based on the risk weight assessment, the order of risk with the highest weight is supply risk with a weight of 0.2803, partnership risk with a weight of 0.1619, production risk with a weight of 0.1576, storage risk with a weight of 0.1262, technology risk with weight of 0.93, transportation risk with a weight of 0.0811, infrastructure risk with a weight of 0.0603 and market risk with a weight of 0.0395.

References

Arvis JR et al (January 2013). Managing Logistics Risks in Agricultural Supply Chains along International Corridors. Retrieved 18 May 2016. FARMD forumagriculturalriskmanagementdevelopment.html

Regional Licensing and Investment Agency of East Kalimantan Province. 2009. Palm Cooking Oil Industry Investment. Samarinda: BPPMD East Kalimantan.

Badariah et al. 2012. Analysis of Supply Chain Risk Management Based on the FMEA Method. Industrial Engineering Journal . ISSN : 1411-6340.

Bowersox, Donald J. 2002. Supply Chain Logistics Management . New York: McGraw Hill.

CDMI. 2014. Study of Business Potential and Main Actors in the Cooking Oil Industry . Jakarta : The CDMI Consultant Group.

Chandra, Afridel. 2013. Performance Analysis of Logistics Distribution in the Supply of Goods from Distribution Centers to Indomaret Outlets in Semarang City . Diponegoro University Semarang.

Christopher, Martin. 2005. Logistics and Supply Chain Management 3rd Edition . England : Prentice Gall.

Etebarani, Akbar et al. 2012. The Application of Fuzzy Delphi Method and Fuzzy Analytical Hierarchy Process for Evaluating Marine Casualties . Azad University Science and Research. ISBN : 960-978.

Garrod, B. 2007. The Delphi Technique. University of Wales Abersytwyth . Wales: Institute of Rural Science. G.H Tzeng and JY Teng. Transportation Investment Project Selection With Fuzzy Multi-Objectives. transp. Pann. Technol . Vol 17, no. 2, pp. 91- 112, 1993

Hadiguna, RA 2012. Performance Based Risk Assessment Model for the Supply Chain of Sustainable Palm Oil in Indonesia. International Journal of Industrial Engineering ,Vol. 14, No. 1, pp.13-24.

Hadiguna., RA 2016. Agro-industry Supply Chain Management . Padang: Andalas University Press.

Hallikas, J et.al. 2004. Risk Management Processes in Supplier Networks. International Journal of Production Economics . 90 (1).

Hidayat, et.al 2012. Risk Identification Models and Value Added Enhancement Strategies in the Palm Oil Supply Chain. Industrial Engineering Journal . 14(2). 89-96.

Hsu, T. H, Yag, TH 2000. Application of Fuzzy Analytical Hierarchy Process in The Selection of Advertising Media. Journal of Management And Systems , 7(1), 19-39.

Indonesian Commission for the Supervision of Business Competition. 2010. Unfair Business Competition in the Palm Cooking Oil Industry. Competition . 22, 12-14.

Kuo, Ying-Feng, Pang-Cheng Chen. 2008. Constructing Performance Appraisal Indicators For Mobility Of The Service Industries Using Fuzzy Delphi Method. Expert System With Application . 35, 1930-1939.

Liu, Weng-Kun. 2013. Application of The Fuzzy Delphi Method and The Fuzzy Analytical Hierarchy Process for The Managerial Competence of Multinational Corporation Executive. International Journal of e-Education, e-Business, e-Management and e-Learning . 3(4), 248.

Meimaharani, Rizkysari. 2014. Analysis of Sugeno's Fuzzy Inference System in Determining Land Sales Prices for Minimarket Development. Symmetrical Journal . 5 (1), ISSN : 2252-4983.

Mulyadi, Dedi. 2011. Development of an Efficient and Effective Logistics System with a Supply Chain Management Approach. Industrial Research Journal . 5(3), 275-282.

Pujawan, IN 2005. Supply Chain Management . Surabaya: Use Widya Publisher

Saaty, T, L. 2008. Decision Making With The Analytical Hierarchy Process. International Journal Of Services Science . 1(2), 83-98.

It happened. 2014. Logistics Activities. Bandung: Indonesian Supply Chain.

It happened. 2015. Introduction to Logistics Management. Bandung: Indonesian Supply Chain .

Sukwadi, Ronald. 2013. Development of the Delphi-AHP-Markov Integration Model in Human Resource Requirements Planning. Industry Spectrum Journal . 11(2), 117-242.

Vorst, JGAJ 2007. Agro-Industrial Supply Chain Management: Concept and Application, Agricultural Management, Marketing and Finance Occasional Paper . Rome : Food and Agricultural Organization of The United Nations.

Downloads

Published

2023-04-01

How to Cite

Ahmad Munawar, N. ., & Mahaputra, M. R. . (2023). Determination of Logistics Risk of Palm Cooking Oil Using Fuzzy Delphi Method and Fuzzy Analytical Hierarchy Process. Siber Journal of Transportation and Logistics, 1(1), 24–37. https://doi.org/10.38035/sjtl.v1i1.8