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Manufacturing execution system

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Manufacturing execution system.

Rel. Elisa Ughetto. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management), 2020

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Today manufacturing units face several challenges, such as the growing complexity of their processes and supply networks, cost pressures, increasing customer expectations for quality, lead time, and customization. To gain a profitable production processes and improve competitiveness, many actions can be undertaken. Among them, one of the approaches is the deployment of information tools, to better manage and control the production process. Manufacturing execution system (MES) are the critical part that form a connecting link between the preceding and following in enterprise hierarchical structure. This project was carried out in GAI GIACOMO SRL. In this project the purpose is to evaluate the Manufacturing execution system practices of the employees working in the company. And to explore the relationship between the Manufacturing execution system and demographic characteristics of employees and firms. This project is conducted among 100 employees and results suggest that the status of Manufacturing execution system practices of the employees in the company. No significant relation between gender, marital status, dependents, age, nature of job, departments, position in the organization has a significant association with manufacturing execution system. Study also conducted to find out the association between firm demographical factors and MES of the employees it revealed that educational qualification and experience of the employees has a significant association between MES of the employees. Correlation analysis is done to find out whether the eight components selected are correlated significantly with each other. Multiple regression analysis was applied to identify the influences of eight components of MES on MES of employee. Through these analyses are performed to ensure that manufacturing operations are executed efficiently and improves output of production.

Relators: Elisa Ughetto
Academic year: 2019/20
Publication type: Electronic
Number of Pages: 60
Corso di laurea: Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management)
Classe di laurea: New organization > Master science > LM-31 - MANAGEMENT ENGINEERING
Aziende collaboratrici: Gai Giacomo s.r.l.
URI: http://webthesis.biblio.polito.it/id/eprint/13960
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