Lean Digitalization

Why is it important?

We believe that Digital transformation requires a smooth, effective, but quick transition from the current state to the planned Future State, first applying Lean principles to optimise the Value Added and then using digital tools and systems where they are the best solution to a problem, considering a systems Architectural future state – avoiding the classic GIGO (garbage in, garbage out) trap of automation. ​

Our experience

Lean Coaching has experience in helping clients build a ‘smart’ transition via changing mindset toward digitalization thanks to the partnership with such organizations as Blackbird, IPS, and McKinsey Digital Capability Centre. Lean Coaching and Partners help companies to build the journey from the current state to digital by providing digital diagnostic, autonomous data collection systems, creating dynamic value stream and digital twinning, and applying digital solutions across Product development, Sales, Supply Chain, Order Management and Production Schedule, Procurement and Material disposition, Manufacturing, Customer Service​.

Digital Awareness​

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

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?

Self defined target state can be chosen in addition to ideal state; biggest gaps between current and target state are ranked and listed Development the Strategic Program – Lean and Digital Transformation implementation.​

Key Elements/Terms

- Digital assessment
- Digital Capability Centre
- Digital transformation road map

Digital Performance Management (DPM)​

Digital Performance Management (DPM) is a system that supports a Lean and effective way of problem recognition, eradication and solution standardization in order to ensure best and sustainable cost, waste, productivity and other business results.

What is it?

Digital Performance Management (DPM) is a system that supports a Lean and effective way of problem recognition, eradication and solution standardization in order to ensure best and sustainable cost, waste, productivity and other business results. The system consists of 5 steps: ​
1. Production structure and data reliability analysis ​
2. Choice of KPIs and control parameters ​
3. Creation of digital control tools​
4. System launch and performance analysis 
​ 5. Operator engagement ​

Why is it important?

Improvement of data reliability inevitably results in better gap reduction, faster solution development and more sustainable result. DPM frees up time of supervisors to focus on line employees, quality assurance and cross-functional collaboration, while the system analyses performance and highlights gaps, targets and risks online.

Key Elements/Terms

- Virtual Obeya room
- Data collection and digital visualisation
- Regression analysis
- Practical problem solving database
- Digital Process Analysis​

Digital Plant

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

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.

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

Digital system for variability management in discrete production.

What is it?

Digital system for variability management in discrete production.

Why is it important?

Great enabler for the production system calculator: sequences analyser, bottleneck forecast, order progress monitor, product stream analyser, data processing, planning database, scanner for data acquisition on the shop floor​.

Dynamic in Production 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.

Key Elements/Terms

Dynamic analysis of Bottlenecks, visualisation and predictive management of process variability.