Confirmed session — instant bookingGovernment Tenders and Procurement: A Practical Review of Regulations and Contracts
- Starts Sunday 25 October 2026
- Online
- 6:00–10:00 PMRiyadh time
Applied industrial and production engineering course covering industrial data analysis, operational KPIs, production dashboards, data cleaning, manufacturing performance indicators, Excel and Power BI analysis. Includes practical exercises, templates, case studies, calculations, dashboards, simulations, implementation outputs, and industrial impro…
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Ask on WhatsAppThe "Industrial Data Analysis and Performance Indicators for Operational Decision-Making" course is an advanced applied training program within the Industrial and Production Engineering Programs category. It is designed to help participants improve factory performance, production stability, operational discipline, quality outcomes, cost control, and decision-making in manufacturing environments.
The program covers industrial data analysis, operational KPIs, production dashboards, data cleaning, manufacturing performance indicators, Excel and Power BI analysis, decision-making reports. It converts the Arabic source curriculum into practical exercises, calculations, templates, workshops, simulations, case studies, and implementation outputs that can be used by production, industrial engineering, quality, maintenance, planning, supply chain, and operations teams.
The learning design emphasizes applied practice through realistic manufacturing scenarios, Excel-based exercises, performance indicators, operational reports, improvement plans, and final applied projects aligned with factory and industrial-sector needs.
By the end of this course, participants will be able to:
Understand the core concepts, terminology, and industrial applications related to industrial data analysis and performance indicators for operational decision-making.
Apply the main tools and methods covered in the source curriculum, including industrial data analysis, operational KPIs, production dashboards, data cleaning, manufacturing performance indicators.
Analyze manufacturing data, operational constraints, waste, losses, quality variation, cost drivers, risk factors, or process performance according to the course topic.
Develop practical outputs such as checklists, dashboards, schedules, layouts, improvement plans, simulation scenarios, quality controls, maintenance plans, or implementation roadmaps.
Evaluate results using relevant industrial KPIs and present recommendations that support productivity, quality, safety, reliability, profitability, and continuous improvement.
This program is designed for the following target groups:
Industrial engineers, production engineers, manufacturing engineers, process improvement engineers, and operations professionals.
Production supervisors, factory managers, line leaders, maintenance teams, quality teams, planning teams, and continuous-improvement teams.
Supply chain, inventory, procurement, costing, data analysis, safety, and performance-management professionals working in factories or industrial organizations.
Graduates and early-career professionals in industrial engineering, production engineering, mechanical engineering, chemical engineering, manufacturing, operations management, and business administration.
Organizations seeking practical tools to improve productivity, reduce waste, stabilize production processes, improve quality, and strengthen operational decision-making.
Participants apply the source competency through a structured industrial exercise related to industrial data analysis and performance indicators for operational decision-making. The activity uses calculations, templates, checklists, charts, simulations, operational data, or implementation planning to produce a practical output suitable for factory use.
Participants apply the source competency through a structured industrial exercise related to industrial data analysis and performance indicators for operational decision-making. The activity uses calculations, templates, checklists, charts, simulations, operational data, or implementation planning to produce a practical output suitable for factory use.
Participants apply the source competency through a structured industrial exercise related to industrial data analysis and performance indicators for operational decision-making. The activity uses calculations, templates, checklists, charts, simulations, operational data, or implementation planning to produce a practical output suitable for factory use.
Participants apply the source competency through a structured industrial exercise related to industrial data analysis and performance indicators for operational decision-making. The activity uses calculations, templates, checklists, charts, simulations, operational data, or implementation planning to produce a practical output suitable for factory use.
Participants apply the source competency through a structured industrial exercise related to industrial data analysis and performance indicators for operational decision-making. The activity uses calculations, templates, checklists, charts, simulations, operational data, or implementation planning to produce a practical output suitable for factory use.
Participants apply the source competency through a structured industrial exercise related to industrial data analysis and performance indicators for operational decision-making. The activity uses calculations, templates, checklists, charts, simulations, operational data, or implementation planning to produce a practical output suitable for factory use.
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Confirmed session — instant booking
Confirmed session — instant booking
Confirmed session — instant booking
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