diplomsko delo Visokošolskega strokovnega študijskega programa I. stopnje Strojništvo - Projektno aplikativni program
Abstract
Problem, obravnavan v tem diplomskem delu, se osredotoča na primer izgradnje zaupanja in zagotavljanja zanesljivosti v avtomobilski dobavni verigi. Nekateri večji izzivi v dobavni verigi vključujejo spremljanje in zagotavljanje varnosti informacijskih tokov, povezanih s proizvodnimi procesi v avtomobilski industriji. Za oceno zanesljivosti proizvodnih procesov je bila uporabljena kvalitativna metoda, imenovana Process Failure Mode & Effect Analysis (PFMEA), in sicer za oceno tveganj v proizvodnem procesu. Podatke o stanju analize procesov smo posredovali po konceptualni platformi splet 3.0, ki temelji na tehnologiji blockchain.
Keywords
diplomske naloge;industrije 4.0;avtomobilske industrije;upravljanja dobavne verige;PFMEA;splet 3.0;tehnologija podatkovnih blokov;
Data
Language: |
Slovenian |
Year of publishing: |
2024 |
Typology: |
2.11 - Undergraduate Thesis |
Organization: |
UL FS - Faculty of Mechanical Engineering |
Publisher: |
[D. Debelak] |
UDC: |
519.873:796.71:338.3(043.2) |
COBISS: |
199638275
|
Views: |
40 |
Downloads: |
13 |
Average score: |
0 (0 votes) |
Metadata: |
|
Other data
Secondary language: |
English |
Secondary title: |
Optimization of production processes on a decentralized platform |
Secondary abstract: |
The problem addressed in this final thesis revolves around the case of building trust and ensuring reliability within the automotive supply chain. Some of the major challenges within the supply chain include monitoring and ensuring the security of information flows related to the production processes within the automotive industry. To assess the reliability of the production processes, a qualitative method called Process Failure Mode & Effect Analysis (PFMEA) was used to evaluate risks in the manufacturing process. Information about the status of the process analysis was communicated through a conceptual web 3.0 platform based on blockchain technology. |
Secondary keywords: |
industry 4.0;automotive industry;supply chain management;process failure mode & effect analysis;web 3.0;blockchain; |
Type (COBISS): |
Bachelor thesis/paper |
Study programme: |
0 |
Thesis comment: |
Univ. v Ljubljani, Fak. za strojništvo |
Pages: |
XX, 52, [13] str. |
ID: |
24373221 |