Digital Twins in Industry and Smart Manufacturing

Build a working method for digital twins in smart manufacturing that stands up to scrutiny and survives daily pressure.

📍 Tunis🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points

Course Overview

The constraint on digital twins in smart manufacturing is rarely the model or the platform — it is the data and the operating discipline behind it. Boards are asking for measurable returns from smart manufacturing, not demonstrations. Participants who influence this aspect of digital and data-driven work without directly controlling it will find the content directly usable. Where digital twins in smart manufacturing is measured, it improves; where it is only discussed, it drifts. The outcome is a practitioner who can hold a position on this area of digital and data-driven work and revise it on evidence. The version of smart manufacturing described in the manual and the version practised on the floor tend to diverge over time. Each session closes with a decision the participant must justify about digital twins in smart manufacturing in their own setting. It treats smart manufacturing as an operating discipline and equips participants to run it as one. Participants finish with a short, specific brief on this part of digital and data-driven work ready to put in front of a decision maker.

Expected Learning Outcomes

01

Establish monitoring that detects model or service degradation in digital twins in smart manufacturing before users report it.

02

Build the internal skills to operate smart manufacturing without permanent vendor dependency.

03

Draw practical lessons from failures in digital twins in smart manufacturing without assigning blame that suppresses reporting.

04

Structure records of smart manufacturing so that they answer the questions an auditor will actually ask.

05

Sequence improvements to digital twins in smart manufacturing so that each step makes the next one easier.

06

Plan the migration path for smart manufacturing without an extended outage or a parallel-running trap.

07

Design the integration points between digital twins in smart manufacturing and the systems already in production.

Who Should Attend

01

Public sector officials applying digital twins in smart manufacturing within a regulated framework.

02

Members of committees that take decisions affecting smart manufacturing.

03

Solution architects designing how digital twins in smart manufacturing fits the existing estate.

04

Vendor and contract managers overseeing suppliers involved in smart manufacturing.

05

Chief information officers accountable for the investment in digital twins in smart manufacturing.

06

Information security officers reviewing the exposure created by smart manufacturing.

Course Modules

01

Digital twins in smart manufacturing: cost, licensing and total running expense

2 sessions · 8 points

Session 1Choosing a supplier for digital twins in smart manufacturing without being captured

  • Assess the regulatory obligations digital twins in smart manufacturing triggers in each jurisdiction.
  • Set out the decisions in smart manufacturing that require sign-off and by whom.
  • Identify the skills the team lacks to operate digital twins in smart manufacturing independently.
  • Compare the cost of smart manufacturing with the cost of its absence.

Session 2Making smart manufacturing secure without making it unusable

  • Record the rationale for each significant choice made about digital twins in smart manufacturing.
  • Set the review interval for smart manufacturing and who attends.
  • Record what was learned when digital twins in smart manufacturing did not go as planned.
  • Estimate compute and licensing cost for smart manufacturing at expected and at peak load.
02

Smart manufacturing: security, privacy and regulatory obligation

2 sessions · 8 points

Session 1Building the method for smart manufacturing step by step

  • Agree the smallest change to digital twins in smart manufacturing that would be visibly useful.
  • Identify where judgement in smart manufacturing is legitimate and where it is not.
  • Rehearse the briefing on digital twins in smart manufacturing that would follow an incident.
  • Agree what will be standardised in smart manufacturing and what will not.

Session 2Who answers for smart manufacturing, and to whom

  • Build the internal briefing that explains digital twins in smart manufacturing to those affected.
  • Define the exit route from the supplier supporting smart manufacturing.
  • Rank the weaknesses in digital twins in smart manufacturing by consequence rather than by ease of fixing.
  • Specify the fallback path when smart manufacturing is unavailable.
03

Smart manufacturing: monitoring, drift and operational ownership

2 sessions · 8 points

Session 1Where smart manufacturing touches systems nobody wants to change

  • List the data sources digital twins in smart manufacturing consumes and confirm each has a named owner.
  • Set the metrics that will show whether smart manufacturing is drifting from its intended behaviour.
  • Identify every system digital twins in smart manufacturing must read from or write to.
  • Define the service level smart manufacturing must meet and what happens when it is missed.

Session 2Proving digital twins in smart manufacturing paid for itself

  • Arrange the handover of digital twins in smart manufacturing so capability survives staff changes.
  • Remove steps in smart manufacturing that add effort without adding assurance.
  • Write down the assumptions underpinning the approach to digital twins in smart manufacturing.
  • Decide which legacy process smart manufacturing retires, and set the date.
04

Smart manufacturing: governance, ethics and explainability

2 sessions · 8 points

Session 1The governance smart manufacturing needs and the governance it does not

  • Confirm the retention and deletion rules applied to data inside digital twins in smart manufacturing.
  • Test smart manufacturing against edge cases drawn from real historical records.
  • Check that digital twins in smart manufacturing still works when volumes rise unexpectedly.
  • Identify the data already collected that bears on smart manufacturing.

Session 2Getting other functions to support smart manufacturing

  • Build the user briefing that explains what digital twins in smart manufacturing does and does not decide.
  • Design the pilot for smart manufacturing so that a negative result is still useful.
  • Record the reasoning behind each architectural choice in digital twins in smart manufacturing.
  • Classify the data in smart manufacturing and apply access controls that match the classification.

Choose the package that suits you

Silver Package

At least 3 people

USD1,250
  • Workshop or Program Participation
  • Airport Transfers
  • Customized Badge
  • Expert Mentorship (Private Sessions)
  • Supervision & Secretarial Services
  • Accredited Certificate of Participation
  • Complete Training Kit
  • Coffee Break
  • Closing Ceremony

Gold Package

At least 3 people

USD1,850
  • 5-night stay in a 5-star hotel
  • Workshop or Program Participation
  • Airport Transfers
  • Customized Badge
  • Expert Mentorship (Private Sessions)
  • Supervision & Secretarial Services
  • Accredited Certificate of Participation
  • Complete Training Kit
  • Coffee Break
  • Closing Ceremony

Complete your registration

We will contact you within one business day to confirm.