Being part of a large and global machinery provides many opportunities and perspectives, but also many unpredictabilities, challenges and pitfalls concerning making stupid expensive mistakes that can delay your production flow. A deficiency in a mold can be another costly affair if the mistake is not discovered before the quality control and hence must be discarded. Yet it can be even more expensive if the mistake is not adjusted before the next batch is set into production.
Another key challenge facing other production companies is getting the necessary amount of labor in order to meet the demands. This creates demands for training periods Information storage and automatization of a number of work processes. At the same time the customers place huge demands on product development handling and innovation. Hence making their purchasing patterns difficult to predict. Thus the use of advanced data insight and Machine Learning can be necessary in targeting the correct purchasing cycle and it affects the foundation to systematize your entire production.
In short many bottlenecks are connected with a production. These are due to perhaps silo work lack of survey or cross communication. It is about identifying the bottlenecks and solving the problems in real time. About having the right goods on the warehouse shelves at the right places. Regardless of the size of your production company there will be a gain in streamlining and optimizing the warehouse management and the production adjustments.