PEMODELAN RANTAI PASOK FLEKSIBEL PADA PEMURNIAN MINYAK SAWIT: STUDI KASUS DI PT X

Abstract

The development of the CPO-producing industry provides great benefits for the CPO refining industry. CPO is used as the main raw material for refined derivative products such as oleopangan products (cooking oil, margarine, shortening) and oleochemicals (fatty acids, fatty alcohol, glycerine). A related problem is the inefficiency in the distribution network caused by the complexity of the existing system and related to the many types or product variants that must be integrated in shipping. The aim of this research was to design a flexible supply chain network for domestic palm oil refined products using a soft computing approach with a genetic algorithm. The simulation results using GA showed that the optimal solution completion time of the mathematical model only takes 57 seconds. The optimization of the model that has been formulated was tested in cases where the results were measured by the variables of the number of products distributed, distribution flow in the supply chain network, minimum cost (Z), and network facilities. The design was also tested by verification of the optimization model by correcting errors in the model until the model produces a feasible solution and validating the optimization model to experts through the Association of Indonesian Palm Oil Entrepreneurs (GAPKI) North Sumatra, the Medan Palm Oil Research Center (PPKS) and Public Appraisal Service Consultants that often handles problems in the oil palm sector. According to experts, the designed model represented the real situation so that it can be said that the model has been validated. The design is flexible because it is able to meet the existing demand with utilities above 100% for 9 periods at a cost of Rp 630,892,386.

Keywords

• multi-product
• cpo refinery supply chain
• genetic algorithm
• optimization
• flexible supply chain network design