MATHEMATICAL MODEL TO ESTIMATE PRODUCTION CYCLE TIME USING LINEAR REGRESSION: A CASE OF PRESS WORKING SHOP
Keywords:
Press Working, Production, Cycle Time, Linear RegressionAbstract
The objective of the present investigation is to formulate a mathematical model to estimate production cycle using linear regression for the press working operation. Thephenomenon of press working operation can be modeled with probabilistic simulation but it is unable to explain which particular input is responsible for the output. Simulation model does not take into account the human factors, workplace parameters and environmental conditions. The 33 independent variables affecting the phenomenon are identified. The variables can be classified under the category of anthropometric data of the operator, personnel factors of the operator, machine specifications, workplace parameters, specifications of the product and environmental conditions in press working shop. The response variable is cycle time required on mechanical press. The parameters which were constant during the experiment were recorded first. The field experimentation was planned to record the cycle time. The model so developed can be used to express the cycle time as a function of independent variables. The results obtained have a correlation up to 92% with experimental cycle time. The model is strong estimator to simulate the process.
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Copyright (c) 2019 M. M. Gupta , V.S. Deshpande, J.P. Modak , D.R. Zanwar, S.G. Chilbule (Author)
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