Title: Managing manufacturing efficiency using the concept of automation with human touch

Authors: Arturo Alatrista-Corrales; María Moreno-Arévalo; Carlos Zevallos-Pacheco; Marcos Rueda-Enríquez

Addresses: Universidad La Salle, Av. Alfonso Ugarte 517, Cercado, Arequipa, Peru ' Consorcio Eficiencia Energética del Perú, Calle José Santos Chocano 249, Umacollo, Arequipa, Peru ' Industrias San Miguel del Sur, Cal. la Florida Nro. 204, Huaranguillo, Arequipa, Peru ' Pontificia Universidad Católica del Perú, Av. Universitaria 1801, San Miguel 15088, Lima, Peru

Abstract: In the era of what is called Industry 4.0, information technologies become a crucial aspect for increasing productivity in the manufacturing sector. They require a certain level of electronic integration with processes and machines in the production plant in order to get relevant data. The purpose of this paper is to analyse the convenience of the concept of automation with human touch, as an alternative approach for developing information systems based on data obtained partially from a manual source (human machine interaction). The case of Mentor Monitor is used for this purpose. It is argued that the concept allows to reduce implementation costs and technology complexity. At the same time, reliable data can be achieved for key performance indicators such as overall efficiency equipment (OEE) and specific energy consumption (SEC). It is also discussed the need for finding mechanisms for preventing error in manual data. Mentor Monitor is an information system developed by Calidad Total Mecatrónic and Universidad La Salle-Arequipa, with the support of Innovate Peru. It was tested at the bottling plant facilities of Industrias San Miguel del Sur, during the first half of 2017 in Arequipa, Peru.

Keywords: efficiency; overall equipment efficiency; OEE; specific energy consumption; SEC; production line; manufacturing; key performance indicators.

DOI: 10.1504/IJBIDM.2021.116042

International Journal of Business Intelligence and Data Mining, 2021 Vol.19 No.1, pp.33 - 51

Received: 03 Nov 2017
Accepted: 28 Nov 2018

Published online: 11 Jun 2021 *

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