Title: Comparative analysis of multivariate capacity indicators for serial and parallel systems

Authors: Tomás José Fontalvo Herrera; Ana Gabriela Banquez Maturana

Addresses: Industrial Management Program, Faculty of Economics, University of Cartagena, Cartagena, Colombia ' Industrial Management Program, Faculty of Economics, University of Cartagena, Cartagena, Colombia

Abstract: In this research, a comparative analysis of multivariate capacity indicators for serial and parallel production systems was developed, and supported by Six Sigma metrics. As theoretical foundation, the concepts of serial systems and parallel systems supported with l, six-sigma metrics and multivariable capacity indicators were used. As a methodology, a heuristic, quantitative, and factual analysis was carried out, which implied: 1) characterisation of the information associated with the serial and parallel production systems; 2) calculation of the Six Sigma metrics (DPMO, Z level and performance), periodic and punctual assessment of the performance of the four processes in the production systems; 3) As results it can be noted that the serial system shows a better performance at the sigma level. As future research, the scientific community is invited to implement the methodology indicated in different organisations of goods and services.

Keywords: Six Sigma; multivariable capacity indicator; linear production; parallel production.

DOI: 10.1504/IJSSCA.2023.134454

International Journal of Six Sigma and Competitive Advantage, 2023 Vol.14 No.4, pp.468 - 489

Received: 25 Jan 2023
Accepted: 15 Jul 2023
Published online: 23 Oct 2023 *

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