{"title":"Implementation of project-based learning for design of experiments using 3D printing","authors":"Gorka Unzueta, J. Eguren","doi":"10.3926/jiem.5254","DOIUrl":null,"url":null,"abstract":"Purpose: This paper aims to present how the project-based learning (PBL) methodology was implemented in the Faculty of Engineering of Mondragon Unibertsitatea in the second year of the Engineering in Industrial Organisation degree to help integrate statistical knowledge related to the design of experiments (DOE) and the use of advanced technologies, such as additive manufacturing (AD; also known as 3D printing).Design/methodology/approach: The methodology applied was PBL, which enables learners to apply theoretical concepts to a controlled real-world environment and to make decisions based on practical experience. PBL was applied in a team setting involving 51 students divided into 12 teams.Findings: The improvement in academic results demonstrate an improvement in the acquisition and assimilation of technical knowledge of the use of statistical tools through experimentation in a semi-industrial environment. In addition, the results of the satisfaction surveys show an increase in the motivation and commitment of the students during the project.Originality/value: The value of the work lies in the integration of advanced technologies (AM or 3D printing) and statistical knowledge in DOE through the PBL methodology in a higher education environment.","PeriodicalId":38526,"journal":{"name":"International Journal of Industrial Engineering and Management","volume":"34 4","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Industrial Engineering and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3926/jiem.5254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: This paper aims to present how the project-based learning (PBL) methodology was implemented in the Faculty of Engineering of Mondragon Unibertsitatea in the second year of the Engineering in Industrial Organisation degree to help integrate statistical knowledge related to the design of experiments (DOE) and the use of advanced technologies, such as additive manufacturing (AD; also known as 3D printing).Design/methodology/approach: The methodology applied was PBL, which enables learners to apply theoretical concepts to a controlled real-world environment and to make decisions based on practical experience. PBL was applied in a team setting involving 51 students divided into 12 teams.Findings: The improvement in academic results demonstrate an improvement in the acquisition and assimilation of technical knowledge of the use of statistical tools through experimentation in a semi-industrial environment. In addition, the results of the satisfaction surveys show an increase in the motivation and commitment of the students during the project.Originality/value: The value of the work lies in the integration of advanced technologies (AM or 3D printing) and statistical knowledge in DOE through the PBL methodology in a higher education environment.
期刊介绍:
International Journal of Industrial Engineering and Management (IJIEM) is an interdisciplinary international academic journal published quarterly. IJIEM serves researchers in the industrial engineering, manufacturing engineering and management fields. The major aims are: To collect and disseminate information on new and advanced developments in the field of industrial engineering and management; To encourage further progress in engineering and management methodology and applications; To cover the range of engineering and management development and usage in their use of managerial policies and strategies. Thus, IJIEM invites the submission of original, high quality, theoretical and application-oriented research; general surveys and critical reviews; educational or training articles including case studies, in the field of industrial engineering and management. The journal covers all aspects of industrial engineering and management, particularly: -Smart Manufacturing & Industry 4.0, -Production Systems, -Service Engineering, -Automation, Robotics and Mechatronics, -Information and Communication Systems, -ICT for Collaborative Manufacturing, -Quality, Maintenance and Logistics, -Safety and Reliability, -Organization and Human Resources, -Engineering Management, -Entrepreneurship and Innovation, -Project Management, -Marketing and Commerce, -Investment, Finance and Accounting, -Insurance Engineering and Management, -Media Engineering and Management, -Education and Practices in Industrial Engineering and Management.