Unveiling undergraduate production engineering students¿ comprehension of process flow measures

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Torres, N (Author) Other; Américo Azevedo (Author) FEUP; de Azevedo, AL (Author) Other; Simões, AC (Author) Other; Ladeira, MB (Author) Other; de Sousa, PR (Author) Other; de Freitas, LS (Author) Other

Journal

Title: Producao

Vol. 32

ISSN: 0103-6513

Publisher: Associacao Brasileira de Engenharia de Producao

Indexing

Scopus

Other information

Authenticus ID: P-00X-96B

DOI: 10.1590/0103-6513.20220020

Abstract (EN): Paper aims: This study analyzes the comprehension of production engineering students about the influence of some key variables on the process performance measures in a service process, Originality: This paper points out the need for educators to re-evaluate their approaches to teaching the Operations Management (OM) principles related to process flow measures, Research method: This study used scenario-based role-playing experiments with 2×2×2 between-subject factorial design with three independent variables (variability of activities, capacity utilization, and resource pooling) and four dependent variables related to key internal process performance measures (Flow Time, Overall Quality of service, Quality of service employees, and Queue Size), The sample was composed of 178 undergraduate production engineering students from a large university in Brazil from various institution units, Main findings: These results show that students perceived the use of resource pooling as an impactful practice, However, the students did not correctly identify the effects of increasing resource utilization and the variability on flow time and queue size when activities are pooled, Implications for theory and practice: The teaching of basic concepts of OM requires the support of computational tools, Undergraduate courses that contemplate subjects in the field of OM should work more intensely on simulation-based learning. © This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Language: English

Type (Professor's evaluation): Scientific