Global supply chains are facing significant challenges due to the changes in supply and demand. This will increase the need for flexible and sustainable management. Lean production is a widely adopted methodology that companies use to enhance efficiency, reduce costs, and shorten lead times by optimizing internal logistics systems. Mapping and visualization tools are essential for understanding and improving transportation processes within companies while minimizing waste.The objective of this study is to provide companies with clearer insights into theirinternal transport flows through lean production and facility planning. By mappingtheir structures, companies can enhance their decision-making processes. This studyaims to achieve an understanding of the need for internal transport flow mappingthrough various methods and analyses. It also seeks to increase knowledge ofdifferent tools within lean production and facility planning to visualize the currentstate of internal transportation between buildings.The study was conducted through interviews, observations, and GPS measurements to map the transport processes at Xylem. Data were analyzed both qualitatively and quantitatively to ensure high scientific quality. The results and current state analysiswere based on these methods, leading to reliable conclusions about Xylem's current state.By using various lean tools and facility planning techniques, it is possible to create a mapping that provides companies with insights into their current situation. Several improvement suggestions for the current structure and work methods can potentially create faster flows with fewer misunderstandings in the work process. The study concludes that flow mapping functions as a tool to create a simplified simulation model. By interviewing and observing drivers and using diagrams to show utilization and time distribution, it is possible to analyze and examine internal transport planning and identify unnecessary waste.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-130590 |
| Date | January 2024 |
| Creators | Nilsson, Isak, Sjöquist, Dennis |
| Publisher | Linnéuniversitetet, Institutionen för maskinteknik (MT) |
| 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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