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ANALISIS KEAKURATAN FORECAST RESIN ABS GRADE 500 322 MENGGUNAKAN PENDEKATAN MEAN ABSOLUTE PERCENTAGE ERROR (MAPE): STUDI KASUS INDUSTRI MANUFAKTUR PLASTIC COLORING DAN COMPOUNDING

Industry Xplore, 2023
The plastic resin coloring industry has a very important role in the molder supply chain. Materials must be imported from abroad with a long enough lead time, so material purchases are made based on the forecast provided by the molder. The constraints that occur are forecast inaccuracies which result in an increase in inventory level of material and a ...
Dwi Irwati, null Ade Nurul Hidayat
openaire   +1 more source

A Global Optimization Algorithm for Minimizing Mean Absolute Percentage Error of Nonlinear Forecasting Model

INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences, 2012
In order to establish a high-precision nonlinear forecasting model, the paper presents a new global optimization technique for parameters optimization in nonlinear forecasting model based on the minimization of mean absolute percentage error (MAPE). By implementation of an optimization technique based on the successive use of a genetic algorithm and of
Haijun Chen -   +3 more
openaire   +1 more source

Measuring Relative Accuracy: A Better Alternative to Mean Absolute Percentage Error

SSRN Electronic Journal, 2013
Surveys show that the mean absolute percentage error (MAPE) is the most widely used measure of forecast accuracy in businesses and organizations. It is also used to compare accuracy across multiple data sets, e.g. when choosing a forecasting method. Yet this metric systematically favours methods which under-forecast.
openaire   +1 more source

On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression

IEEE Signal Processing Letters, 2020
Jun Qi   +2 more
exaly  

Proportional Load Distribution Strategy in Scheduling Algorithms Using Mean Absolute Percentage Error

2025 3rd International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)
Ananda Hadi Elyas   +3 more
openaire   +1 more source

Dynamic mean absolute error as new measure for assessing forecasting errors

Energy Conversion and Management, 2018
Laura Frías-Paredes   +2 more
exaly  

Model for Reducing Mean Absolute Percentage Error through Smoothing and Time Series Forecasting In a Tourism SME: A Case Study

Journal of Machine Intelligence and Data Science
Sayuri Arleth Renatta Ludeña Román   +2 more
openaire   +1 more source

Assessing the statistical characteristics of the mean absolute error or forecasting

International Journal of Forecasting, 1991
Wen Lea Pearn
exaly  

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