The biggest invention of the 20th century? How to build things so they are always better.
We take it for granted when we are buying manufactured goods - the newer version will be faster, better and cheaper. This is down to the power of continuous improvement, leveraging our people to always come up with better solutions.
Taichi Ohno said that the only thing they were trying to do was to minimise the time from receiving an order to cash by taking out waste through empowered people. This focus on improving flow and enabling the ”doers” is core to FlowML
Whilst manufacturing has undergone a tremendous transformation which has yielded huge productivity and quality gains, professional services operations in general has only seen modest gains, often only as a result of accessing salary arbitrage opportunities, this despite massive investments in technology.
This is not a problem of technology, it is a problem about how we deploy technology into human process.
We want to change this productivity deficit, and ensure that advances in Big Data platforms, Robotic Process Automation and production methodologies are delivered in a way which delivers manufacturing style gains also to human based processing.
Time-to-market: A modular approach (components on a platform) is the norm for high value and high volume lean product manufacturers as this enable mass customisation strategies which are extremely cost competitive. This approach is core to FlowMLs design and it reduces the incremental cost of meeting individual or segment requirements (sometimes to zero) and enable ability to get benefits of both scale and scope, at faster pace.
FlowML microservices like approach enable change to happen in one area without impacting another and allowing the company to delegate responsibility down in the organisation without experiencing risk of chaos or disruption.
Taichi Ohno said that the only thing they were trying to do was to minimise the time from receiving an order to cash by taking out waste through empowered people. This focus on improving flow and enabling the ”doers” is core to FlowML
Whilst manufacturing has undergone a tremendous transformation which has yielded huge productivity and quality gains, professional services operations in general has only seen modest gains, often only as a result of accessing salary arbitrage opportunities, this despite massive investments in technology.
This is not a problem of technology, it is a problem about how we deploy technology into human process.
We want to change this productivity deficit, and ensure that advances in Big Data platforms, Robotic Process Automation and production methodologies are delivered in a way which delivers manufacturing style gains also to human based processing.
Time-to-market: A modular approach (components on a platform) is the norm for high value and high volume lean product manufacturers as this enable mass customisation strategies which are extremely cost competitive. This approach is core to FlowMLs design and it reduces the incremental cost of meeting individual or segment requirements (sometimes to zero) and enable ability to get benefits of both scale and scope, at faster pace.
FlowML microservices like approach enable change to happen in one area without impacting another and allowing the company to delegate responsibility down in the organisation without experiencing risk of chaos or disruption.