The purpose of this end-thesis was to examine how the information flow associated with the defect scrapping process could be improved using theories such as information theory, Lean and industry 4.0. The thesis was written in combination and cooperation with a business which follows the Lean methodology. To fulfil this purpose a qualitative study was performed at a department at the partner company with the goal of creating an understanding of the current state and consensus of the current defect scrapping process and its information flow. Based on the data collected a qualitative analysis was performed where a number of themes appeared. The main themes were connected to the routines, feedback, lack of information, information asymmetry and knowledge. From the analysis of the current state it became clear that there were areas for improvement in the defect scrapping process and the associated information flow. Currently the defect scrapping process is very manual. Data collected from the lists once per month is manually put into the system by a technician. A process which is both complicated and time consuming, and which additionally adds the risk of human error. Likewise, the information flow is clearly lacking, first and foremost not all defects which are scrapped are documented, which naturally leads to incorrect information in the system and the subsequent information flow. Additionally, the data which is gathered is primarily accessed by a small number of people, and the information regarding previous defects does not reach the shop floor. Meaning a circular information flow is not achieved and in the current state primarily flows in one direction, which is upwards. Based on the findings in the result chapter and the analysis chapter an industry 4.0 recommendation was presented with the purpose of remedying and improving the current information logistics at the partner company, and furthermore companies which find themselves in similar situations. Thus enabling the use of industry 4.0 in combination with information logistics and Lean for improved information management in the defect scrapping process.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-122214 |
| Date | January 2023 |
| Creators | Gelmers, Ian Matthew, Larsson, Oskar |
| Publisher | Linnéuniversitetet, Institutionen för informatik (IK) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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