The highly competitive global market, high labor costs, and the rapid development of modern technologies are all major reasons that motivate manufacturing companies to increase the Level of Automation (LoA) in their assembly lines using modern technologies. It was found that the Dynamo++ method is an effective tool to determine and measure the current physical and cognitive LoA in assembly stations, analyze the results and suggest some future improvementsaccording to the company’s requirements. In this paper, the main motivations that encourage companies to increase their LoA were discussed, and the literature was searched for some methods that help to increase the LoA in automotive assembly systems. After that, the Dynamo++ methodology was chosen as the best method because it integrates the physical and cognitive LoA and because it has been applied in many cases and companies and satisfactory results have been achieved. In addition, this paper discussed some of the limitations and improvements within the Dynamo++ method and discussed the results obtained after applying itin the main line and range line. Moreover, this paper also discussed the common challenges that manufacturing companies face when implementing automation solutions and how to overcome these obstacles in a way that ensures optimal use of promising automation opportunities. At the conclusion of this paper, the benefits that companies will gain if they adopt automation plans were discussed, and focus was placed on the most important technologies that will help raise the LoA in manufacturing lines.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mdh-67881 |
| Date | January 2024 |
| Creators | Hamik, Shahd, Czech, Iwona |
| Publisher | Mälardalens universitet, Akademin för innovation, design och teknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.002 seconds