| Issue |
E3S Web Conf.
Volume 73, 2018
The 3rd International Conference on Energy, Environmental and Information System (ICENIS 2018)
|
|
|---|---|---|
| Article Number | 13016 | |
| Number of page(s) | 5 | |
| Section | System Information and Decision Support System | |
| DOI | https://doi.org/10.1051/e3sconf/20187313016 | |
| Published online | 21 December 2018 | |
Optimization Of Raw Material Inventory Costs In The Food Supply Chain Using Differential Evolution Algorithm
1 Magister Program of Information System, School of Postgraduate Studies, Diponegoro University, Semarang - Indonesia
2 Department of Mathematic, Faculty of Science and Mathematic, Diponegoro University, Semarang - Indonesia
* Corresponding author: priymasiwi.marahuriga@gmail.com
The management of raw material inventory is used to overcome the problems occuring especially in the food industry to achieve effectiveness, timeliness, and high service levels which are contrary to the problem of effectiveness and cost efficiency. The inventory control system is built to achieve the optimization of raw material inventory cost in the supply chain in food industry. This research represents Differential Evolution (DE) algorithm as optimization method by minimizing total inventory based on amount of raw material requirement, purchasing cost, saefty stock and reorder time. With the population size, the parameters of mutation control, crossover parameters and the number of iterations respectively 80, 0.8, 0.5, 200. With the amount of safety stock at the company 7213.95 obtained a total inventory cost decrease of 39.95%. Result indicate that the use of DE algorithm help providein efficient amount, time and cost.
Key words: Differential evolution algorithm / inventory optimization / raw materials optimization / food supply chain
© The Authors, published by EDP Sciences, 2018
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