11th Annual International Conference on Industrial Engineering and Operations Management

Production Planning and Inventory Control Using Artificial Neural Network Forecasting for Furniture Industry 4.0 Custom Production

0 Paper Citations
Track: Supply Chain and Logisitcs Competition

The raw materials are stored in PT. Skala Maxima Griya Workshop 1 warehouse is too much. Therefore, it's essential to recalculate raw material requirements using PPIC methods so that raw materials don't accumulate and become damaged in the warehouse. This research requires demand data from January 2017 to 2019 and other supporting data to perform forecasting methods for SMA, DMA, WMA, SES, DES, Cyclic, Linear, Quadratic, Decomposition, and ANN, then continued with the aggregate Shift, overtime, and mix. Rough Cut Capacity Planning CPOF, BOLA, and RPA, safety stock material requirement planning EOQ, POQ, LFL, LUC, AWW, and Silver Meal, ending with capacity requirement planning. The best forecasting calculations are using ANN, aggregate planning in the form of a mixed shift. An Overtime alternative scheduling with a total of Rp 1,297,061,500 with an average capacity of 9,655 minutes, an average RCCP capacity of 251,030 minutes. No shortage of resources in material requirement planning using the Silver Meal method of Rp 17,484,000 for ten materials during the period 2020. There CRP capacity is smaller than RCCP, which is 226,555 minutes, but still meets production needs. The savings for PT. Skala Maxima Griya is 68%.

Published in: 11th Annual International Conference on Industrial Engineering and Operations Management, Singapore, Singapore

Publisher: IEOM Society International
Date of Conference: March 7-11, 2021

ISBN: 978-1-7923-6124-1
ISSN/E-ISSN: 2169-8767