Politecnico di Torino (logo)

Overall equipment effectiveness (OEE) analysis in CHEP.

Siyavush Juraev

Overall equipment effectiveness (OEE) analysis in CHEP.

Rel. Giulia Bruno. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management), 2022

PDF (Tesi_di_laurea) - Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives.

Download (2MB) | Preview

Overall equipment effectiveness (OEE) analysis in CHEP. The thesis focuses on the concept of overall equipment effectiveness by implementing productivity improvement strategies across CHEP. In October, November, and December of 2021, the research was completed that had been started. Total equipment effectiveness (CHEP) has been designed as a conceptual framework to analyze the impact of qualitative and performance-related losses on a system or equipment. Following this, a survey is conducted on a small portion of the entire process, and the findings are analyzed using Excel. Researchers are using a theoretical model in their quest for ways to increase overall equipment effectiveness. To assist Lean Manufacturing and Total Productive Maintenance (TPM), the OEE is a critical performance measure that is commonly implemented. While the OEE depicts a process in a static manner, it does not portray the actual variety of lean manufacturing. There were organizational and availability-related losses discovered during the research. Single Minute Exchange of Dies (SMED) is a strategy for shifting internal events (setups and changeovers) to external events to reduce the number of poorly planned events that occur. Even during manufacturing, it has been shown that OEE values may be considerably improved by eliminating all the related issues. Equipment malfunction, unscheduled, and absence of personal output were three of the most common causes of unplanned losses. It may be easier to define, assess, and propose possible cures. It may be easier if the losses were broken down into three distinct categories. In certain cases, costs are recorded as "no reason code" since the personnel did not offer any information or no data input was gathered. This indicates that the entire team, not just the device users, must be educated, trained, and made aware. Thus, the entire business has developed a strong feeling of responsibility and loyalty. Using the "5 whys" approach or a sophisticated fishbone diagram, we are able to identify the root cause of the issue.

Relators: Giulia Bruno
Academic year: 2021/22
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: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/22928
Modify record (reserved for operators) Modify record (reserved for operators)