Until recently in the Lean community, the definition of waste was “simple”: waste is any activity consuming resources without producing value for the customer. In this definition time can be considered a resource and “customer” is extended to anyone beneficiary of the outcome, like a patient in a hospital getting faster and better care. Focusing … Continue reading The blurring definition of Lean waste in a 4.0 world – Part 1 of 2
The success of a 4.0 transformation in manufacturing (and industry at large) is particularly dependent on the initial conditions for its implementation. The “founding fathers” of Industry 4.0 and the organizations who help its implementation soon recognized the importance of a suitable “ground” as well as a number of prerequisites for a 4.0 transformation to … Continue reading The success of a 4.0 transformation is strongly dependent on the initial conditions
When Industry 4.0 arrived with all its bells and whistles, many would have thought “haha, this is the long awaited next big thing to replace Lean”. Now, as the time goes by, it seems more and more that Lean is regarded as a mandatory prerequisite to Industry 4.0, which in return could unexpectedly extend Lean’s … Continue reading Could industry 4.0 extend Lean’s lifespan?
I read and hear it over and over: when it comes to Digital Transformation, Smart Manufacturing or Industry 4.0, companies face an indigestion of Proofs of Concept (PoC). Those are most often haphazard uncoordinated bottom-up initiatives, that last long without proving much. Worse, there is enough evidence that the technical solutions work and many available … Continue reading A collection of Proofs of Concept doesn’t make a Digital Strategy
Speed, time-to-market, fast response and agility are becoming increasingly important in fast changing and competitive markets. In such environment, value or benefits decrease rapidly in time. Conversely, being fast, reactive and agile enables reaping the most of the value. Brick-and-mortar companies going click-and-mortar or the digital transformation way have to get rid of the inherited … Continue reading Data continuity for faster decision making and agility
Call it digital transformation, smart factory, IioT or industry 4.0, your high-tech company transformation program may well require mundane brown paper and sticky notes at the very beginning. A random collection of Proofs of Concept does not make a transformation program It is a lesson learned over and over, a transformation program is not a … Continue reading Why your digital transformation may well start with brown paper and sticky notes
April 2019, in the corridors of our offices I picked a statement made by a young consultant about one of his clients: "It's a real mess in their warehouse, they do not manage storage and have no defined storage locations. They lose an incredible amount of time searching for goods. Introducing RFID tags would allow … Continue reading Will 5S resist 4.0 tech?
March 2019, eight years after its official launch and many experiments, Industry 4.0 is on the brink, looking at the chasm. For the concept Industry 4.0 to become reality, it has to move from a random collection of scattered Proofs of Concept to full-scale projects. It must convince a critical mass of decision makers, users … Continue reading Industry 4.0 on the edge of the chasm
For many people, a Cyber-Physical System sounds like something from a science-fiction movie. For those familiar with Industry 4.0 and the smart factories, it should make sense as an integrated system combining sensors, embedded software and actuators. How about an everyday example to understand it the easy way? >Lisez cet article en français You may … Continue reading Industry 4.0 @home: riding a Cyber-Physical System
I hear and read it periodically: executives giving feedback about their smart factory implementation highlight “the real-time capability given to teams to react to any drift or early warning about machine condition”. To many listeners or readers, this resonates. In paper-and-pen days, data collection and analysis was painstakingly slow, often inaccurate and most often led … Continue reading Ready to gain from smart factory real time capability?