Learning Launch - Improvement in

bottling lines

Challenge:

Today I work in the area of beverage packaging, which has long been developing

technologically and has a very specific and protocolized problem solution support that

normally requires a very specialized workforce in this sector in the industry.

Two years ago, we started having a lot of problems related to transportation of bottles.

The glass bottles were heavily impacted during shipping and this led to a high index of

glass breaking and down time. All our indicators of loss and performance were being

impacted by this.

Learning Laucnh:

In the market, the existing solution requires a labor force specialized in automation to

adjust speed and modulation of transport. Every start of the year, we faced the same

question: how to increase efficiency, knowing that we can not afford the automation

service?

We needed to develop solutions that were really engaged with consumer

expectations, testing those solutions in practice.

That’s why we chose the “Learning Launch” tool.

Application:

In these same situations, while trying to explain high investments (in which top

management believed but did not want to invest) we had a group of operators that

had other cheaper solutions but in which the company saw no potential.

To finally prove the investment, we made the prototypes of how the production would

be with both solutions.

We tested the two solutions in small tests, planned in the smallest possible time levels:

In the end, we came to the conclusion that the homemade solution, in addition to

being cheaper, was most suitable for the expected levels of efficiency and bottle

breakage.

Insight:

Without learning launch methodology, we would continue with the old automation

solutions. Arriving at lower solutions than we arrived, with greater investments.

Approach:

In the next situations where we are faced with this type of problem, we will certainly

concentrate on listening to people at the end of the chain and doing more

experiments, instead of following patterns of solutions that we simply believe, without

experimentation, be the best.


Learning Launch - Improvement in bottling lines Challenge : Today I work in the area of beverage packaging , which has long been developing technologically and has a very specific and protocolized problem solution support that normally requires a very specialized workforce in this sector in the industry . Two years ago , we started having a lot of problems related to transportation of bottles . The glass bottles were heavily impacted during shipping and this led to a high index of glass breaking and down time . All our indicators of loss and performance were being impacted by this . Learning Laucnh : In the market , the existing solution requires a labor force specialized in automation to adjust speed and modulation of transport . Every start of the year , we faced the same question : how to increase efficiency , knowing that we can not afford the automation service ? We needed to develop solutions that were really engaged with consumer expectations , testing those solutions in practice . That ’s why we chose the “ Learning Launch ” tool . Application : In these same situations , while trying to explain high investments ( in which top management believed but did not want to invest ) we had a group of operators that had other cheaper solutions but in which the company saw no potential . To finally prove the investment , we made the prototypes of how the production would be with both solutions . We tested the two solutions in small tests , planned in the smallest possible time levels : In the end , we came to the conclusion that the homemade solution , in addition to being cheaper , was most suitable for the expected levels of efficiency and bottle breakage . Insight : Without learning launch methodology , we would continue with the old automation solutions . Arriving at lower solutions than we arrived , with greater investments . Approach : In the next situations where we are faced with this type of problem , we will certainly concentrate on listening to people at the end of the chain and doing more experiments , instead of following patterns of solutions that we simply believe , without experimentation , be the best .