Lean Digitalization

Why is it important?

We believe that Lean Digital transformation means applying Lean philosophy to the Transformation to an ever more Digitally based Operations environment. This implies that 'all things digital' are tools to solve specific current or potential future problems - or improvement opportunities.
A transformation starts with understanding the current (digital) state to the planned Future State including technologies, architecture but also implications on and mitigations for the people affected in the organisation.

Our experience

Lean Coaching has extensive experience in supporting large complex transformations. This includes changing mindset and building capability required for digitalization thanks to the partnership with organizations incl McKinsey Digital Capability Centre. Lean Coaching help companies to understand their need incl a lean perspective incl Digital Awreness and specifing their requirements in a way Solution providers are more likely to be able to build from incl Digital Performance Management, Digital Value Stream and Process flow Maps

Digital Awareness​

What is it?

Three dimensions of digital maturity assessment: organisation, technology, human for business challenges identification, for lean leadership and lean management opportunities and digital transformation opportunities.

Why is it important?

Most companies are considering or already embarking on 'Digital Transformation' without fully understanding the challenges or implications across the organisation and without having the critical mass of capabilities required to enable the – Lean and Digital Transformation.

Key Elements/Terms

- Digital current and Future State assessment
- Digital Capability Centres

Digital Performance Management (DPM)​

What is it?

Digital Performance Management (DPM) is the digitalisation of Performance Management ie the 'dashboard' visualising the performance of a cell/line, department or business unit enabling problem recognition, prioritisation, containment and root cause solution, followed by standardization and Process confirmation, the basis for continuous operational improvement.

Why is it important?

Analog Visual Performance Management (Meeting/Information Centres on Boards), although a critical step towards continuous improvement has several substantial drawbacks, the most important being 1) the time it takes to update and 2) the subjectivity of catagorisation of losses.
With simple sensors, open source software and various DPM display solutions, most of Information Centre content, can vastly enhance the traditional board solutions.

Key Elements/Terms

- Digital Process Analysis​ (digital waste or gaps)
- IOT Data collection and analysis
- Entity Relationship Diagrams (ERD)
- Real time digital visualisation
- AI assisted problem solving, suggestion generation
- Virtual Obeya room

Digital Plant

What is it?

Digital system linking inputs from all areas of plant operations, from IoT devices on the shopfloor to machine learning capabilities in production planning. Digital twin/representation of the full plant, from system/data inputs from all areas of plant operations, from IoT devices on the shopfloor to machine learning capabilities in production planning.

Why is it important?

Transparent real time picture of the production for monitoring and controlling the current situation, applying immediate actions towards the gaps, for predictive planning of cross-functional work, for interacting with the environment​.

Key Elements/Terms

- Virtual factory
- Scenario Modelling and Optimisation
- Gamifications of operations
- Digital Process analysis
- Robotic Process Automation
- Digital Twining

Dynamic Value Stream Management

What is it?

Great enabler for the production system sequences analyser, bottleneck forecast, order progress monitor, product stream analyser, data processing, planning database, scanner for data acquisition causes Losses through unmanaged Variability: rigid control concept, components availability, loss of performance, quality issues, high batch sizes, unexpected yield losses, malfunctions, fluctuating customer demand.

Why is it important?

Digital /dynamic representation of one or more value streams in operations enabling real-time and predictive optimisation of which products/lines to run based on occuring issues, planned down time vs customer demand

Key Elements/Terms

- Dynamic analysis of Bottlenecks, Buffers Visualisation of real time issues and recommendation re product mix, scheduling
- Predictive management 'what if scenarios' based on evolving process variability