Design of Forecasting for Perishable Product with Artficial Neural Network

Chintya Salwa Sabhira

doi:10.37899/journallamultiapp.v5i1.1000

Chintya Salwa Sabhira Department of Industrial Engineering, Trisakti University

DOI: https://doi.org/10.37899/journallamultiapp.v5i1.1000

Keywords: Perishable Products, Raw Materials, Inventory Management, Continous Review, Artifcial Neural Network

Abstract

Raw materials are an important part of the manufacturing industry, especially for raw materials that do not last long or have a lifespan. To be able to produce good products, the raw materials used must be of good quality. This happened to company XYZ which operates in the cereal and snack food industry. Inventory control is quite a big challenge for companies. In this year the company experienced losses due to a shortage of finished snacks products, due to finished goods being obsolete due to a lack of accuracy in forecasting snack demand. The research raised forecasting using the Artificial Neural Network method. ANN is known to be able to produce good accuracy values in predicting sales.

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