Demand Forecasting for Drinking Water Products to Reduce Gap Between Estimation and Realization of Demand Using Artificial Neural Network (ANN) Methods in PT. XYZ-Reference-Cited by-同舟云学术

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Demand Forecasting for Drinking Water Products to Reduce Gap Between Estimation and Realization of Demand Using Artificial Neural Network (ANN) Methods in PT. XYZ

Published:2020-09-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Engineering and Information Technology for Sustainable Industry
language:
Short-container-title:

Author:

Syafitri Rizka Cahya¹,Ridwan Ari Yanuar¹,Novitasari Nia¹

Affiliation:

1. School of Industrial Engineering, Telkom University, Bandung, Indonesia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3429789.3429844

Reference11 articles.

1. Spare Part Inventory Policy Planning based on FRMIC (Fuzzy-Rule-based approach for Multi-Criteria Inventory Classification) using Base-Stock Policy Method (S-1, S)

2. A Condition-based maintenance and spare parts provisioning based on markov chains

3. Oral-Care Goods Sales Forecasting Using Artificial Neural Network Model

4. Tonbul , T. S. ( 2019 ). Sales Forecast in FMCG Sector with Artificial Neural Networks. November . Tonbul, T. S. (2019). Sales Forecast in FMCG Sector with Artificial Neural Networks. November.

5. Designing of Raw Material Scheduling Supply Multi On Supplier Strategies with Price, Lead time, And Stochastic Demand Variations. Case Study: Electricity Manufacturer

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