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Regression Model to Estimate Standard Time through Energy Consumption of Workers in Manual Assembly Lines under Moderate Workload


Affiliations
1 Department of Industrial Engineering, Instituto Tecnologico de Delicias, Paseo Tecnologico Km 3.5, 33000 Delicias, CHIH, Mexico
2 Division of Postgraduate Studies and Research, Instituto Tecnologico de Ciudad Juarez, Avenida Tecnologico 1340, 32500 Ciudad Juarez, CHIH, Mexico
3 Department of Industrial andManufacturing Engineering, Universidad Autonoma de Ciudad Juarez, Avenida del Charro 450 Norte, 32310 Ciudad Juarez, CHIH, Mexico
 

We propose a Standard Time (ST) Estimate Model based on energy demand to attain more equal work distribution in manual assembly lines. The proposal was developed estimating the energy consumption by monitoring the heart rate (HR) of 84 people between 18 and 48 years old while performing repetitive activities under moderate workload (2.5-5.0 kilocalories/minute (Kcal/min)). Variables on one model were determined, which were based on energy consumption (EC) using the 13-variable Best-Subset function. Subsequently, a general equation for the Standard Time (ST) Estimate Model was calculated through lineal regression. Two significant variables were obtained: total kilocalories (Kcal tot.)/pieces and total Kcal/operation time (OT) for each station, which are included in a Standard Time EstimateModel. ST can be represented with a regressionmodel measuring the total number of kilocalories consumed by workers and the OT, which can help companies to balance the cycle time in their assembly lines.
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  • Regression Model to Estimate Standard Time through Energy Consumption of Workers in Manual Assembly Lines under Moderate Workload

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Authors

Abdul Ayabar
Department of Industrial Engineering, Instituto Tecnologico de Delicias, Paseo Tecnologico Km 3.5, 33000 Delicias, CHIH, Mexico
Jorge De la Riva
Division of Postgraduate Studies and Research, Instituto Tecnologico de Ciudad Juarez, Avenida Tecnologico 1340, 32500 Ciudad Juarez, CHIH, Mexico
Jaime Sanchez
Division of Postgraduate Studies and Research, Instituto Tecnologico de Ciudad Juarez, Avenida Tecnologico 1340, 32500 Ciudad Juarez, CHIH, Mexico
Cesar Balderrama
Department of Industrial andManufacturing Engineering, Universidad Autonoma de Ciudad Juarez, Avenida del Charro 450 Norte, 32310 Ciudad Juarez, CHIH, Mexico

Abstract


We propose a Standard Time (ST) Estimate Model based on energy demand to attain more equal work distribution in manual assembly lines. The proposal was developed estimating the energy consumption by monitoring the heart rate (HR) of 84 people between 18 and 48 years old while performing repetitive activities under moderate workload (2.5-5.0 kilocalories/minute (Kcal/min)). Variables on one model were determined, which were based on energy consumption (EC) using the 13-variable Best-Subset function. Subsequently, a general equation for the Standard Time (ST) Estimate Model was calculated through lineal regression. Two significant variables were obtained: total kilocalories (Kcal tot.)/pieces and total Kcal/operation time (OT) for each station, which are included in a Standard Time EstimateModel. ST can be represented with a regressionmodel measuring the total number of kilocalories consumed by workers and the OT, which can help companies to balance the cycle time in their assembly lines.