Implementasi Metode ANP-PROMETHEE Untuk Pemilihan Supplier (Studi Kasus PT. Lamongan Marine Industry)

*Mahad Wicaksono  -  Universitas Diponegoro, Indonesia
Bayu Surarso  -  Universitas Diponegoro, Indonesia
Farikhin Farikhin  -  Universitas Diponegoro, Indonesia
Received: 27 Sep 2019; Revised: 14 Feb 2020; Accepted: 19 Feb 2020; Published: 27 May 2020; Available online: 27 May 2020.
DOI: https://doi.org/10.21456/vol10iss1pp36-45 View
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Abstract

The selection of suppliers is essential to minimize the cost of procuring raw materials for production. This research is important to do in order to increase company profits and ensure the smooth production process. This study aims to select suppliers of shipbuilding raw materials of PT. LMI based on the best ranking order using the ANP-PROMETHEE method implemented in a decision support system. The variables used are 16 sub criteria and 6 alternatives. The ANP-PROMETHEE method is used because of its advantages in handling multi-criteria assessment based on subjective assumptions from decision makers. Stages of the study began with the ANP method to get the importance of weight then proceed to the calculation with the PROMETHEE method to get an alternative ranking. The results of this study is an application as a Decision Support System (DSS) that can help make supplier selection based on predetermined criteria. From the results of the study it was concluded that the ANP-PROMETHEE method can be implemented and is the right solution for supplier selection, ANP handles the problem of multiple objective decision making so that objectivity is maintained, while PROMETHEE handles the multi attribute decision making problem. Other conclusions are obtained that the PROMETHEE calculation has a more significant influence in determining the final outcome of an alternative ranking than the ANP. An input of ANP value is needed with a long number interval so that the results of the calculation of the Consistency Ratio (CR) approach the CR threshold (0.1) so that the ANP has a significant influence in determining the final outcome of an alternative ranking. The CR number that was tested was 0.0629 and proved unable to change the alternative ranking final results, when the CR number that was tested was 0.0993, it was proven to be able to change the alternative ranking final results.

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Keywords: ANP; PROMETHEE; Decision Support System; Selection of Suppliers

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  1. Brans, J.P. and Vinckle, P.H., 1986. A Preference Ranking Organisation Method: (The PROMETHEE Method for Multiple Criteria Decision-Making, Managemenet Science (31), 647-656
  2. Bruno, G., Esposito, E., Genovese, A. and Passaro, R., 2012. AHP-based approaches for supplier evaluation: Problems and perspectives, Journal of Purchasing &Supply Management (18), 159-172
  3. Dobos, I., dan Vӧrӧsmarty, G., 2014. Green supplier selection and evaluation using DEA-type composit indicators, Int. J. Production Economics (157), 273-278
  4. Govindan, K., Rajendran, S., Sarkis, J. and Murugesan, P., 2015. Multi criteria decision making approaches for green supplier evaluation and selection: a literature review, Journal of Cleaner Production (98), 66-83
  5. Hu, Y.C. and Chen, C.J., 2011. A PROMETHEE-based classification method using concordance and discordance relations and its application to bankruptcy prediction. Information Sciences (181), 4959-4968
  6. Kilic, H.S., Zaim, S. and Delen, D., 2015. Selecting “The Best” ERP system for SMEs using a combination of ANP and PROMETHEE methods, Expert Systems with Applications (42), 2343-2352
  7. Lami, I.M. and Abastante F., 2014. Decision making for urban solid waste treatment in the context of territorial conflict: Can the Analytic Network Process help? In: LAND USE POLICY (41), 11-20
  8. Peng, A.H. and Xiao, X.M., 2013. Material selection using PROMETHEE combined with analytic network process under hybrid environment, Materials and Design (47), 643-652
  9. Rafiei, H. and Rabbani, M., 2014. Hybrid MTS/MTO order partitioning framework based upon fuzzy analytic network process, Applied Soft Computing (19), 312-321
  10. Saaty, T.L., 1996. Decision Making with Dependence and Feedback The Analytic Network Process, RWS Publications, Pittsburgh
  11. Saaty, T.L., 1999. Fundamentals of the Analytic Network Process, ISAHP, Kobe, Japan
  12. Shiue, Y.C. and Lin, C.Y., 2012. Applying analytic network process to evaluate the optimal recycling strategy in upstream of solar energy industry, Energy and Buildings (54), 266- 277
  13. Vinodh, S. and Girubha R.J., 2012. PROMETHEE based sustainable concept selection. Applied Mathematical Modelling (36), 5301-5308

Last update: 2021-02-28 23:35:39

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Last update: 2021-02-28 23:35:39

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