Risk Management of Agroindustry Supply Chain using Logistics Performance Perspective
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Abstract
this study has successfully developed a risk based performance prediction model of sustainable palm oil supply chain. Application of non-numeric method proved quite effective in providing performance predictions. The developed model was verified by applying the model to predict the performance of Indonesia palm oil supply chain. Result of predictions model has also been validated by comparing predicted results with the current situation. This was show that the model is valid. Performance prediction of Indonesia palm oil supply chain in the next year is poor. Performance prediction of each aspect is ordinary. Performance prediction of each indicator in general is ordinary except demand, quality of finished product, timeline of delivery and inventory is very good. In addition, applications of proposed model also need to be tested more widely.
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References
G.A. Blengini, and D.J. Shields, “Overview of the building products supply chain in Italy,” Management of Environmental Quality: an International Journal, vol. 21 no. 4, pp. 477–493, 2010
R. Baghwat, and M.K. Sharma, “Performance measurement of supply chain management: A balanced scorecard approach,” Computer & Industrial Engineering, vol. 53, pp. 43–62, 2007
J. Bloemhof, “Sustainable supply chains for the future,” Medium Econometrische Toepassingen, vol. 13 no. 1, pp. 12–15, 2005.
M.A. El-Baz, “Fuzzy performance measurement of a supply chain in manufacturing companies,” Expert Systems with Applications, vol. 38, pp.6681–6688, 2011.
D. Estampe, S. Lamouri, J.L. Paris, and S.B. Djelloul, “A framework for analysing supply chain performance evaluation models,” International Journal of Production Economic, vol. 128 no. 1, pp. 77–95, 2010.
G.M.D. Ganges, and L.C.R. Carpinetti, “A fuzzy logic approach to supply chain performance management,” International Journal of Production Economics, vol. 134, pp. 177–187, 2011.
V.D.R. Guide Jr, and L.N. van Wassenhove, “The evolution of closedloop supply chain research,” Operations Research, vol. 57 no. 1, pp. 10–18, 2009.
A. Gunasekaran, C. Patel, and E. Tirtiroglu, “Performance measures and metrics in a supply chain environment,” International Journal of Operations & Production Management, vol. 21 no. 1/2, pp. 71–87, 2011.
S. Ganapathy, and S. Narayanan, “ Decision support for supply chain analysis,” Proc. 2003 IEEE International Conference on Systems, Man and Cybernetics, pp. 2077–2082, 2003.
A.A. Hervani, M.M. Helms, and J. Sarkis, “Performance measurement for green supply chain management,” Benchmarking: An International Journal, vol. 12 no. 4, pp. 330–353, 2005.
R.A. Hadiguna, Machfud, Eriyatno, A. Suryani, and Yandra, “Supply chain management of crude palm oil,” Journal Logistic and Supply Chain Management, vol. 2 no. 1, pp. 12–23, 2008.
R.A. Hadiguna, “Performance based risk assessment model for palm oil supply chain in Indonesia,” Jurnal Teknik Industri, vol. 14 no. 1, pp. 11-22, 2012.
R.A. Hadiguna, H.S. Jaafar, and S. Mohamad, “Performance measurement for sustainable supply chain in automotive industry: A conceptual framework,” International Journal of Value Chain Management, vol. 5 no. 3/4, pp. 232–250, 2011.
J.P.C. Kleijnen, and M.T. Smits, “Performance metrics in supply chain management,” Journal of Operations Research Society, 2003.
S.S. Nudurupati, U.S. Bititci, V. Kumar, and F.T.S. Chan, “State of the art literature review on performance measurement,” Computers & Industrial Engineering, vol. 60, pp. 279–290, 2011.
E.U. Olugu, and K.Y. Wong, “An expert fuzzy rule based system for closed-loop supply chain performance assessment in the automotive industry, “ Expert System in Applications, vol. 39, pp. 375–384, 2012.
S. Pokharel, and A. Mutha, “Perspectives in reverse logistics: a review resources,” Conservation and Recycling, vol. 53 no. 4, pp. 175–182, 2009.
I. Papadopoulos, G. Karagouni, M. Trigkas, and E. Platogianni, “Green marketing: The case of greece in certified and sustainably managed timber products,” EuroMed Journal of Business, vol. 5 no. 2, pp. 166–190, 2010.
E.H. Sabri, and B.M Beamon, “A multi-objective approach to simultaneous strategic and operational planning in supply chain design,” OMEGA, vol. 28 no. 5, pp. 581-598, 2005.
S.K. Sikdar, “Sustainable development and sustainability metrics,” The American Institute of Chemical Engineering Journal, vol. 49 no. 8, pp. 1928–1932, 2003.
K.C. Shang, C.S. Lu, and S. Li, “A taxonomy of green supply chain management capability among electronics-related manufacturing firms in Taiwan,” Journal of Environmental Management, vol. 91 no. 5, pp. 1218–1226, 2010.
C. Searcy, S. Karapetrovic, and D. McCartney, “Application of a systems approach to sustainable development performance measurement,” International Journal of Productivity and Performance Management, vol. 57 no. 2, pp. 182–197, 2008.
G. Vanteddu, R.B. Chinnam, and K. Yang, “A performance comparison tool for supply chain management,” International Journal of Logistics Systems and Management, vol. 2 no. 4, pp. 342–356, 2006.
K.H. Widodo, “Sustainable supply chain based scenarios for optimizing trade-off between Indonesian furniture and crude-palm-oil industries,” Operations and Supply Chain Mana¬gement, An International Journal, vol. 3 no. 3, pp. 176-185, 2010.
M.Y. Wu, H.P. Chou, Y.Y. Shih, and J.H. Wang, “Supply chain performance improvement through partner relationship management in the high tech industry,” International Journal of Management Science, vol. 6 no. 3, pp. 210–218, 2011.
R.G. Yager, “Non numeric multi criteria multi person decision making,” Group Decision and Negotiation, vol. 2 no. 1, pp. 81-93, 1993.