TY - JOUR
T1 - A learning curve model for a multiple batch production process
AU - Donath, Nir
AU - Globerson, Shlomo
AU - Zang, Israel
PY - 1981
Y1 - 1981
N2 - This study develops a mathematical model which describes the learning effect in a production process where batches of different sizes are produced. The model separates set-up time from production time, although for the est.ima.tion of its parameters these times do not have to be recorded separately. The data required to estimate the parameters of the model is commonly accumulated in organizations, ancl includes the size of consecutive batches and the respective times for their production. A quasi-Newton search method is used for estimating the parameters of'this model. This is carried out by minimizing the sum of squared deviations between observed and calculated batch times. We also demonstrate the usc ofthc model for the estimation of the parameters of a given production prOCCH, and the application of the estimators obtained in this way for the prediction of the total time required for future hatches.
AB - This study develops a mathematical model which describes the learning effect in a production process where batches of different sizes are produced. The model separates set-up time from production time, although for the est.ima.tion of its parameters these times do not have to be recorded separately. The data required to estimate the parameters of the model is commonly accumulated in organizations, ancl includes the size of consecutive batches and the respective times for their production. A quasi-Newton search method is used for estimating the parameters of'this model. This is carried out by minimizing the sum of squared deviations between observed and calculated batch times. We also demonstrate the usc ofthc model for the estimation of the parameters of a given production prOCCH, and the application of the estimators obtained in this way for the prediction of the total time required for future hatches.
UR - http://www.scopus.com/inward/record.url?scp=84908751183&partnerID=8YFLogxK
U2 - 10.1080/00207548108956639
DO - 10.1080/00207548108956639
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AN - SCOPUS:84908751183
SN - 0020-7543
VL - 19
SP - 165
EP - 175
JO - International Journal of Production Research
JF - International Journal of Production Research
IS - 2
ER -