TY - GEN
T1 - Prediction of Standard Times in Assembly Lines Using Least Squares in Multivariable Linear Models
AU - Ramirez, Jhon
AU - Guaman, Rodrigo
AU - Morles, Eliezer Colina
AU - Siguenza-Guzman, Lorena
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Currently, the highly competitive environment of the assembly industries has been an engine for them to seek differentiating factors for improving their efficiency. One of these factors is the study of times and methods (referred to the analysis and the critical and systematic examination of how a task is presently performed, facilitating to find more effective methods), which allows alleviating internal and external aspects that affect productivity and provides the basis for management decision-making. The present work has two primary objectives; firstly, the calculation of standard times within the enterprise operative area and, additionally, the development of a mathematical model for time prediction. For the fulfillment of these purposes, a referential conceptual framework was established about the study of time and the multiple linear regression model. This framework allowed elaborating a procedure for the development of the mathematical prediction model, together with its validation. The study concludes with a discussion on the importance of having models to estimate standard times in business decision making, and the establishment of relevant conclusions.
AB - Currently, the highly competitive environment of the assembly industries has been an engine for them to seek differentiating factors for improving their efficiency. One of these factors is the study of times and methods (referred to the analysis and the critical and systematic examination of how a task is presently performed, facilitating to find more effective methods), which allows alleviating internal and external aspects that affect productivity and provides the basis for management decision-making. The present work has two primary objectives; firstly, the calculation of standard times within the enterprise operative area and, additionally, the development of a mathematical model for time prediction. For the fulfillment of these purposes, a referential conceptual framework was established about the study of time and the multiple linear regression model. This framework allowed elaborating a procedure for the development of the mathematical prediction model, together with its validation. The study concludes with a discussion on the importance of having models to estimate standard times in business decision making, and the establishment of relevant conclusions.
KW - Assembly
KW - Linear regression
KW - Process times
KW - Standard times
KW - Work cells
UR - http://www.scopus.com/inward/record.url?scp=85081029935&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85081029935&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-42531-9_36
DO - 10.1007/978-3-030-42531-9_36
M3 - Conference contribution
AN - SCOPUS:85081029935
SN - 9783030425302
T3 - Communications in Computer and Information Science
SP - 455
EP - 466
BT - Applied Technologies - 1st International Conference, ICAT 2019, Proceedings
A2 - Botto-Tobar, Miguel
A2 - Zambrano Vizuete, Marcelo
A2 - Torres-Carrión, Pablo
A2 - Montes León, Sergio
A2 - Pizarro Vásquez, Guillermo
A2 - Durakovic, Benjamin
PB - Springer
T2 - 1st International Conference on Applied Technologies, ICAT 2019
Y2 - 3 December 2019 through 5 December 2019
ER -