Building Internet of Things Systems for Real-Time Production Quality Monitoring

Turn IoT quality monitoring from a stated policy into a practice your organisation can evidence.

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

Course Overview

A quality system for IoT quality monitoring that exists only for the auditor produces paperwork, not quality. Inspection catches problems in this strand of quality and productivity management; it does not prevent them. The professional literature on the quality and productivity management capability converges on a small set of controls that reliably work. The course gives participants a defensible structure for IoT quality monitoring and the judgement to adapt it. The programme works equally well for those formalising this aspect of quality and productivity management for the first time and those improving an existing approach. Exercises escalate in difficulty, ending with the ambiguous situations that make the quality and productivity management capability hard in practice. Most organisations already have a policy on IoT quality monitoring; far fewer can show it working. Participants take away a working set of documents supporting this area of quality and productivity management, ready to be adapted internally. The final module sets out how progress on this aspect of quality and productivity management will be evidenced six months later.

Expected Learning Outcomes

01

Identify the sources of variation in IoT quality monitoring and rank them by effect.

02

Recognise early indicators that IoT quality monitoring is drifting away from its intended design.

03

Set the minimum documentation for IoT quality monitoring that is genuinely necessary, and stop there.

04

Build capability in root cause analysis across the team handling IoT quality monitoring.

05

Design a training and briefing approach that sustains competence in IoT quality monitoring.

06

Reduce waste and non-value-adding steps in IoT quality monitoring.

07

Map the process behind IoT quality monitoring as it is actually performed.

Who Should Attend

01

Analysts producing the data on which decisions about IoT quality monitoring rest.

02

Internal auditors examining IoT quality monitoring.

03

Procurement and contracting staff whose agreements set obligations around IoT quality monitoring.

04

Quality managers and coordinators responsible for IoT quality monitoring.

05

Finance staff quantifying the cost of quality in IoT quality monitoring.

06

Training officers building problem-solving capability in IoT quality monitoring.

Course Modules

01

IoT quality monitoring: variation, capability and control

2 sessions · 8 points

Session 1Benchmarking IoT quality monitoring without flattering yourself

  • Apply structured root cause analysis to the top defect in IoT quality monitoring.
  • Map the process behind IoT quality monitoring by walking it, not by describing it.
  • Build a control plan for IoT quality monitoring identifying what is checked, when and by whom.
  • Distinguish symptoms from causes when IoT quality monitoring underperforms.

Session 2Standard work for IoT quality monitoring without deskilling it

  • Define quality for IoT quality monitoring in terms the customer would recognise.
  • Establish the boundary of IoT quality monitoring and record what sits outside it.
  • Write standard work for IoT quality monitoring with the people who perform it.
  • Measure current variation in IoT quality monitoring before attempting improvement.
02

IoT quality monitoring: waste, flow and productivity

2 sessions · 8 points

Session 1Auditing IoT quality monitoring to improve it, not to pass

  • Record what was tried on IoT quality monitoring and did not work, and why.
  • Prepare the summary of IoT quality monitoring that senior management will read.
  • Check that records of IoT quality monitoring answer the questions likely to be asked.
  • Identify non-value-adding steps in IoT quality monitoring and remove them.

Session 2Sampling IoT quality monitoring on evidence rather than convention

  • Agree the smallest change to IoT quality monitoring that would be visibly useful.
  • Set sampling for IoT quality monitoring on statistical grounds, not on habit.
  • Define the trigger that would require IoT quality monitoring to be redesigned.
  • Prepare the response for the most likely failure in IoT quality monitoring.
03

IoT quality monitoring: defining quality in measurable terms

2 sessions · 8 points

Session 1Escalation and decision rights in IoT quality monitoring

  • Confirm that reporting on IoT quality monitoring reaches the people who can act.
  • Identify the few causes responsible for most defects in IoT quality monitoring.
  • Benchmark IoT quality monitoring against a comparable operation and record the gap.
  • Record what was learned when IoT quality monitoring did not go as planned.

Session 2Moving IoT quality monitoring from approval to execution

  • Link the improvement in IoT quality monitoring to a financial figure leadership recognises.
  • Set the review interval for IoT quality monitoring and who attends.
  • Establish what evidence demonstrates IoT quality monitoring is under control.
  • Train the team handling IoT quality monitoring in the problem-solving method being used.
04

IoT quality monitoring: structured problem solving and root cause

2 sessions · 8 points

Session 1Solving the defect in IoT quality monitoring that keeps returning

  • Anticipate the objections IoT quality monitoring will raise and prepare the answers.
  • Calculate the cost of poor quality attributable to IoT quality monitoring.
  • Define supplier quality requirements affecting inputs to IoT quality monitoring.
  • Record the rationale for each significant choice made about IoT quality monitoring.

Session 2The cost of IoT quality monitoring and how to present it

  • Build the internal briefing that explains IoT quality monitoring to those affected.
  • Rehearse the briefing on IoT quality monitoring that would follow an incident.
  • Design the internal audit schedule covering IoT quality monitoring.
  • Confirm that those complying with IoT quality monitoring understand why it exists.

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.