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service.industry_4_0()

Industry 4.0

operating context

When pilots fail to become a reusable programme

Industry 4.0 is needed when pilots are many but disconnected, and the company struggles to move from experiments to a programme reusable across lines and sites.

01

Disconnected pilots

Issue

Isolated initiatives, non-reusable data, value hard to scale.

Solution

Orders initiatives by impact, available data and sustainability.

02

Enabling stack

Issue

A shared technical base for data, integration and analytics is missing.

Solution

Defines minimum components for collection, integration and operations.

03

Scaling model

Issue

Without reuse standards, each site reinvents its own approach.

Solution

Sets what to standardize, what to keep local and how to govern reuse.

operating method

How we work: 4 phases in sequence

01

Maturity assessment

Digital maturity evaluation across 6 dimensions: technology, processes, people, data, governance, security.

use casesprioritiesfeasibility
02

4.0 Roadmap

Incremental plan with prioritised initiatives, estimated investments and mapping to available incentives.

dataintegrationanalytics
03

Execution support

Support in initiative execution: vendor selection, project management, quality assurance.

standardsreuseownership
04

Impact tracking

Transformation KPI measurement and reporting for incentives and funding applications.

rolloutmilestonesgovernance
expected output

The artifacts that make Industry 4.0 executable

We bring order to opportunities, technologies and adoption conditions to avoid brilliant but isolated initiatives.

Assessment of initiatives based on impact, feasibility, available data and delivery sustainability.

tech spec

Technical spec

explorer
architecture/ 2
operations/ 2
use-case-matrix.md
// program.usecases

Use-case matrix

analisi: Candidate initiatives, available data, operational and financial impact.
criticità: Initiatives picked for visibility, not feasibility.
output: Prioritized, readable use-case matrix.
use casepriorityfeasibility
// program.stack

Enabling stack

analisi: Minimum components for data collection, integration, analytics and operations.
criticità: Fragmented stack, vendor lock-in, non-reusable data.
output: Documented, extensible target stack.
dataintegrationanalytics
// program.rollout

Rollout model

analisi: Adoption sequence across lines, pilot site and following sites.
criticità: Copy-paste rollout, missing feedback loop.
output: Phased, governed rollout model.
rolloutstandardgovernance
// program.reuse

Reuse standards

analisi: What to standardize, what to keep local, how to govern variations.
criticità: Reinvention, lost experience, growing costs.
output: Catalogue of reusable standards and ownership.
reuseownershipgovernance
architecture/use-case-matrix.md Markdown
next_step.initialize

Make 4.0 executable

We pick use cases, stack and rollout model to scale what works.