Manufacturing Data Collection and Production Dashboards Training Course

Course Introduction

Manufacturing organizations increasingly depend on accurate, timely, and actionable production data to improve operational efficiency, product quality, equipment utilization, and strategic decision-making. Effective data collection systems provide complete visibility into manufacturing processes by capturing information from machines, operators, production lines, quality inspections, maintenance activities, and supply chain operations. This comprehensive training course equips participants with practical knowledge and proven methodologies for designing, implementing, and optimizing manufacturing data collection systems and production dashboards that support operational excellence, continuous improvement, and data-driven manufacturing performance across diverse industrial environments.

Modern manufacturing facilities generate vast quantities of operational data from programmable logic controllers, Industrial Internet of Things (IIoT) devices, Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP) platforms, Supervisory Control and Data Acquisition (SCADA) systems, quality management systems, and computerized maintenance management applications. However, organizations often struggle to convert raw production data into meaningful insights that improve productivity and profitability. Participants will learn structured approaches for collecting, validating, integrating, analyzing, and visualizing manufacturing data to support faster decision-making, proactive problem-solving, and sustainable operational improvements.

The rapid advancement of Industry 4.0 has revolutionized manufacturing data management through cloud computing, artificial intelligence, machine learning, edge computing, predictive analytics, digital twins, big data platforms, and advanced business intelligence solutions. Interactive production dashboards now enable real-time monitoring of production performance, equipment status, quality trends, energy consumption, inventory levels, and maintenance activities from virtually any location. This course explores both traditional manufacturing reporting techniques and emerging digital technologies that enable organizations to create intelligent, connected, and highly responsive production management systems.

Successful manufacturing data initiatives require collaboration among production teams, industrial engineers, automation engineers, maintenance personnel, quality professionals, operations managers, information technology specialists, supply chain teams, and executive leadership. Organizations that integrate accurate data collection with Lean Manufacturing, Six Sigma, Total Productive Maintenance (TPM), Statistical Process Control (SPC), and continuous improvement programs achieve superior operational visibility, faster decision-making, reduced downtime, improved quality, and enhanced customer satisfaction. Participants will develop practical skills for designing effective data strategies that support enterprise-wide manufacturing excellence.

Manufacturers must also address emerging challenges including data quality, cybersecurity, system interoperability, cloud integration, workforce digital skills, sustainability reporting, energy management, predictive maintenance, regulatory compliance, and secure industrial communication. Increasing adoption of smart factories requires robust manufacturing intelligence systems capable of delivering reliable real-time information while protecting operational technology networks from cyber threats. Participants will examine these emerging issues while learning practical strategies for developing scalable, secure, and future-ready manufacturing data collection and dashboard solutions that support long-term business competitiveness.

Designed for production managers, manufacturing engineers, industrial engineers, automation engineers, operations managers, quality professionals, maintenance engineers, data analysts, business intelligence specialists, continuous improvement practitioners, plant supervisors, production planners, IT professionals, and technical specialists, this intensive five-day training course combines engineering principles with practical industrial applications. Through industrial case studies, dashboard design workshops, manufacturing data analysis exercises, KPI development sessions, visualization projects, and implementation simulations, participants will develop the expertise required to transform manufacturing data into actionable operational intelligence that drives measurable business performance improvements.

Duration

5 days

Who Should Attend

• Production managers responsible for manufacturing performance monitoring and operational improvement.

• Manufacturing engineers implementing production monitoring and performance reporting systems.

• Industrial engineers focused on process optimization and operational analytics.

• Automation engineers managing industrial control systems and manufacturing data integration.

• Operations managers overseeing production efficiency and manufacturing performance.

• Quality assurance professionals analyzing production quality and process capability data.

• Maintenance engineers utilizing operational data for predictive maintenance initiatives.

• Data analysts supporting manufacturing reporting, business intelligence, and performance measurement.

• Plant supervisors responsible for daily production monitoring and operational decision-making.

• Production planners, IT professionals, continuous improvement specialists, technical consultants, business intelligence professionals, and manufacturing leaders seeking to strengthen data-driven decision-making capabilities.

Course Objectives

• Develop comprehensive knowledge of manufacturing data collection methodologies, production information systems, dashboard development principles, and operational analytics that improve manufacturing visibility, decision-making, equipment utilization, product quality, and organizational performance.

• Learn to design effective manufacturing data collection frameworks that capture accurate production, quality, maintenance, inventory, energy, and workforce information from multiple industrial systems while ensuring data integrity and consistency.

• Gain practical expertise in integrating production data from PLCs, SCADA, MES, ERP, IIoT devices, quality management systems, and maintenance platforms to establish a unified manufacturing information environment supporting enterprise-wide operational visibility.

• Apply key performance indicators including Overall Equipment Effectiveness, throughput, first-pass yield, downtime analysis, cycle time, scrap rates, inventory accuracy, and energy efficiency metrics to monitor manufacturing performance effectively.

• Strengthen competency in designing interactive production dashboards that provide real-time visualization of operational performance, quality trends, equipment health, production targets, maintenance status, and business performance indicators for multiple organizational levels.

• Learn to apply business intelligence, statistical analysis, predictive analytics, root-cause investigation, and data visualization techniques that support proactive manufacturing management and continuous operational improvement initiatives.

• Explore emerging technologies including Industrial Internet of Things, artificial intelligence, machine learning, digital twins, edge computing, cloud analytics, advanced visualization platforms, and smart factory technologies supporting intelligent manufacturing.

• Develop analytical skills for validating manufacturing data quality, identifying performance trends, detecting operational anomalies, forecasting production outcomes, and generating actionable insights that improve operational efficiency and profitability.

• Understand cybersecurity principles, industrial communication standards, regulatory compliance requirements, sustainability reporting, data governance, cloud security, and digital transformation strategies affecting modern manufacturing information systems.

• Build practical capabilities through industrial case studies, dashboard development workshops, manufacturing data integration exercises, KPI design projects, predictive analytics demonstrations, and operational reporting simulations that support successful implementation within manufacturing organizations.

Comprehensive Course Outline

Module 1: Fundamentals of Manufacturing Data Collection

• Understanding manufacturing data sources supporting operational performance measurement and continuous improvement.

• Identifying production, quality, maintenance, inventory, and energy information requirements effectively.

• Establishing standardized data collection procedures ensuring consistency and reliability.

• Developing manufacturing information strategies aligned with organizational business objectives.

Module 2: Industrial Data Acquisition Systems

• Collecting manufacturing data from PLCs, sensors, and industrial automation equipment.

• Integrating SCADA systems with production monitoring and operational reporting platforms.

• Utilizing Manufacturing Execution Systems for comprehensive shop-floor data management.

• Connecting Enterprise Resource Planning systems with manufacturing information workflows.

Module 3: Manufacturing Key Performance Indicators

• Measuring Overall Equipment Effectiveness for production performance optimization initiatives.

• Developing production efficiency metrics supporting operational excellence and continuous improvement.

• Monitoring quality performance using first-pass yield, defect rates, and process capability.

• Tracking maintenance, inventory, and energy performance using meaningful operational indicators.

Module 4: Production Dashboard Design Principles

• Designing intuitive dashboards supporting real-time manufacturing decision-making and operational visibility.

• Selecting visualization techniques improving interpretation of manufacturing performance information.

• Creating executive dashboards supporting strategic manufacturing performance management initiatives.

• Developing operational dashboards tailored for supervisors, engineers, and production teams.

Module 5: Data Visualization and Business Intelligence

• Applying business intelligence tools for advanced manufacturing data visualization effectively.

• Transforming production data into meaningful charts, graphs, and operational scorecards.

• Identifying manufacturing trends using historical data and comparative performance analysis.

• Developing interactive reports supporting continuous operational improvement initiatives.

Module 6: Advanced Analytics and Predictive Manufacturing

• Applying predictive analytics to improve production planning and equipment reliability.

• Machine learning applications supporting intelligent manufacturing decision-making capabilities.

• Digital twins enhancing manufacturing simulation and operational performance optimization.

• Root-cause analysis utilizing integrated manufacturing performance and quality datasets.

Module 7: Industry 4.0 and Smart Manufacturing

• Industrial Internet of Things enabling connected manufacturing data acquisition systems.

• Cloud computing supporting scalable manufacturing analytics and operational reporting platforms.

• Edge computing improving manufacturing data processing and real-time responsiveness.

• Artificial intelligence enhancing production forecasting and operational optimization initiatives.

Module 8: Data Governance and Cybersecurity

• Establishing manufacturing data governance ensuring integrity, accessibility, and accountability.

• Industrial cybersecurity protecting manufacturing information systems and operational technology infrastructure.

• Regulatory compliance supporting secure manufacturing data management and reporting practices.

• Managing user access, authentication, and secure industrial communication environments.

Module 9: Performance Improvement Using Manufacturing Data

• Identifying operational bottlenecks through manufacturing performance data analysis techniques.

• Supporting Lean Manufacturing initiatives using production dashboard performance indicators.

• Continuous improvement methodologies utilizing manufacturing analytics and operational intelligence.

• Benchmarking manufacturing performance against internal and industry performance standards.

Module 10: Future Manufacturing Intelligence and Best Practices

• Smart factories utilizing autonomous manufacturing intelligence and connected operational ecosystems.

• Sustainable manufacturing reporting supporting environmental performance measurement and compliance.

• Emerging technologies transforming manufacturing analytics, dashboards, and operational decision-making.

• Developing future-ready manufacturing intelligence strategies supporting long-term organizational competitiveness

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.