# data[].attributes.headline
What do they want to achieve by applying VSM?

# data[].attributes.subject
What do they want to achieve by applying VSM?

# data[].attributes.headline
What are some of the proposed changes in the future state? and what would you do different?

# data[].attributes.subject
What are some of the proposed changes in the future state? and what would you do different?

# data[].attributes.headline
What are some of the key elements in VSM that support systems improvement?

# data[].attributes.subject
What are some of the key elements in VSM that support systems improvement?

# data[].attributes.headline
The case study is applied in a manufacturing environment directly in the production processes, what are your thoughts on the benefits to apply the tool in other settings.

# data[].attributes.subject
The case study is applied in a manufacturing environment directly in the production processes, what are your thoughts on the benefits to apply the tool in other settings.

# data[].attributes.body
Add text here

# data[].attributes.body
-Higher productivity
-Improve cycle time to meet 2000 frames demand

# data[].attributes.body
Add text here

# data[].attributes.body
Add text here

# data[].attributes.body
Feel free to add as much as you need

# data[].attributes.body
Add text here

# data[].attributes.body
-Bring jig lines together, less workers needed, lead time decreased, WIP inventory decreased
-Delivery frequency from 2 weeks to daily milk run

# data[].attributes.body
Spray gun facility, Impoving the oiling process, introducing KANBAN, Electronic information flow, rotating hanger stands, Robots, jig 3

# data[].attributes.body
- Reduce every operation to less than 40s (takt time)
- fulfil hourly demand

# data[].attributes.body
tt

# data[].attributes.body
xx

# data[].attributes.body
-Customer perspective, have a clear view what adds value and what doesn't
-Having a pull and avoiding overproduction

# data[].attributes.body
Visual overview, bottleneck detection, Common language -> Standardization, identify waste, improve cross-functional collaboration -> target conditions

# data[].attributes.body
Introduce take time, change to hourly demand, digitalise inventory.

# data[].attributes.body
- highlighting waiting time -> shows excessive inventory
- highlighting operation time -> shows bottleneck processes

# data[].attributes.body
This case study is related to the manufacturing of physical products and it is possible to directly act on the production. This could be quite unfeasible in other production environments in which we are exchanging services instead of products. In this case it is not easy to refer the production rate of the supplier to the one of the company. Also the concept of inventory in that case would be difficult to define and to improve

# data[].attributes.body
Hospital: reducing lead time, better process flow -> efficiency of tools and capacity

# data[].attributes.body
-The tool would need adaptations for other contexts
-It could be useful to make waste and delays evident

# data[].attributes.body
- timing administrative tasks and figuring out how to standardize or spread out the work better

# data[].attributes.body
Visualise current state (understanding the system).