Prediction of Standard Times in Assembly Lines Using Least Squares in Multivariable Linear Models

Jhon Ramirez, Rodrigo Guaman, Eliezer Colina Morles, Lorena Siguenza-Guzman

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish (US)
Title of host publicationApplied Technologies - 1st International Conference, ICAT 2019, Proceedings
EditorsMiguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Number of pages12
ISBN (Print)9783030425302
StatePublished - 2020
Externally publishedYes
Event1st International Conference on Applied Technologies, ICAT 2019 - Quito, Ecuador
Duration: Dec 3 2019Dec 5 2019

Publication series

NameCommunications in Computer and Information Science
Volume1195 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


Conference1st International Conference on Applied Technologies, ICAT 2019


  • Assembly
  • Linear regression
  • Process times
  • Standard times
  • Work cells

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)


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