PARAMETER DETERMINATION INMANUFACTURING PROGRESS CURVE WITH THREE POINTS OF DATA
Abstract
In this paper we discus a method to find the values of parameters in a manufacturing progress curve based on three points
of data. In general to find better parameter estimation we need a lot of data. However, in some circumstances, the numbers
of data are limited or even scarce, especially in the beginning of a manufacturing process. For this reason, we develop a
simple method to determine the values of parameters if only three data are available. The curve we are dealing with is an
inverse-like sigmoid that can describe a learning process in the beginning phase and has a lower bound in the long-term
phase, hence a reasonably realistic curve.
of data. In general to find better parameter estimation we need a lot of data. However, in some circumstances, the numbers
of data are limited or even scarce, especially in the beginning of a manufacturing process. For this reason, we develop a
simple method to determine the values of parameters if only three data are available. The curve we are dealing with is an
inverse-like sigmoid that can describe a learning process in the beginning phase and has a lower bound in the long-term
phase, hence a reasonably realistic curve.
Full Text:
PDF (Bahasa Indonesia)DOI: https://doi.org/10.29313/jstat.v4i2.883
Refbacks
- There are currently no refbacks.
Copyright Notice
STATISTIKA is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.