Advancing Manufacturing and Operations Excellence Through Analytics Innovation
Elevate your manufacturing processes with Trusted Data’s Manufacturing Analytics.
Harnessing cutting-edge analytics techniques, AI, and machine learning, we empower you to optimise operations and drive unprecedented efficiency.
Transforming manufacturing and operations analytics with AI, boosting efficiency and driving strategic decisions for unparalleled success.
Building on our success with leading brands, we seamlessly transition our expertise to empower organisations in optimising manufacturing processes, refining operational insights, and leveraging advanced analytics to shape manufacturing strategies.
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Down time reduction
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Production Yield
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Reduction in spare parts costs
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Increase in OEE
How we execute Manufacturing and Operations Analytics
Manufacturing Resource Allocation
In today’s competitive manufacturing landscape, efficient resource allocation is essential for optimising operations and maximising productivity. By strategically allocating resources, our experts are helping clients to minimise waste, reduce costs, and improve overall efficiency.
- Manufacturing Cost Reduction
- Workforce Efficiency
- Capacity Planning
- Inventory Management
Operations Analytics
Identifying and addressing the root causes of operational issues is crucial for achieving sustainable improvement in manufacturing performance. Root cause analytics enable our clients to pinpoint underlying problems, implement targeted solutions, and prevent recurrence of issues.
- Lean Manufacturing
- Downtime Reduction
- Cycle Time Optimization
- Scrap and Rework Rate
Manufacturing Optimisation
Optimising manufacturing in factories is vital for enhancing supply chain efficiency and responsiveness. By strategically designing and managing factory level optimisation, Trusted Data can help you improve agility, reduce lead times, and better meet customer demand.
- Factory Network Optimisation
- Process Flexibility
- Demand Forecasting
- Production Optimisation
Quality Control Analytics
Maintaining high-quality standards is essential for building customer trust and ensuring long-term business success. Effective quality control processes enable our clients to detect defects early, minimise rework, and deliver products that meet or exceed customer expectations.
- Quality Control
- Variability Reduction
- Process Improvement
- Equipment Maintenance
“In the realm of manufacturing and operations, where efficiency and productivity reign supreme, analytics serves as the cornerstone of innovation. With Trusted Data’s advanced analytics solutions, we forge a way ahead, empowering you to optimise processes, minimise waste, and unlock new levels of operational excellence. Together, we turn data into actionable insights and challenges into opportunities for growth.“
Analytics-focused training to increase your awareness of how to apply data and analytics for manufacturing and operations management
Embark on a transformative journey with Trusted Data’s analytics trainings tailored specifically for manufacturing and operations. Our comprehensive programs are meticulously designed to equip participants with the cutting-edge skills and knowledge needed to thrive in today’s rapidly evolving industrial landscape.
From introductory courses to advanced workshops, we offer a diverse range of training modules that cater to all skill levels and roles within the manufacturing and operations sphere.
At Trusted Data, we understand the importance of staying ahead of the curve in an increasingly competitive market. Whether you’re a seasoned professional looking to sharpen your skills or a newcomer eager to make your mark in the industry, Trusted Data’s analytics trainings will empower you to unlock new opportunities and drive success in manufacturing and operations.
"Manufacturing analytics and AI have a profound impact on operational performance, with studies showing a 25% reduction in production costs and up to 20% increase in overall productivity. Furthermore, analytics-driven insights lead to a 30% decrease in equipment downtime, significantly enhancing efficiency and profitability."
Introduction to Analytics and AI in Manufacturing and Operations
Intermediate AI and Analytics course in manufacturing and operations
Advanced AI & Analytics course in manufacturing and operations
Overview: This course provides participants with a comprehensive introduction to the fundamentals of manufacturing analytics. Through a blend of theoretical concepts and case studies, participants will understand how analytics techniques can be applied to aspects of manufacturing operations, including resource allocation, process optimisation and supply chain management.
Topics Covered:
- Introduction to Manufacturing Analytics
- Data Analysis and Visualisation in Manufacturing
- Optimising Resource Allocation using Analytics
- Process Optimisation Techniques
- Quality Control and Defect Reduction Strategies
- Supply Chain Optimisation with Analytics
Duration: 4 – 6 weeks (self-paced).
Target Audience: Professionals new to manufacturing analytics or individuals seeking foundational knowledge in analytics techniques applied to manufacturing and operations.
Overview: Building upon the foundational knowledge gained in the Fundamentals of Manufacturing Analytics course, this advanced course delves deeper into sophisticated analytics techniques and their applications in manufacturing and operations. Participants will explore advanced topics such as predictive maintenance, lean manufacturing principles, capacity planning, and real-time analytics.
Topics Covered:
- Predictive Maintenance Strategies
- Lean Manufacturing Principles and Practices
- Capacity Planning and Optimization
- Real-time Analytics for Manufacturing Operations
- Advanced Supply Chain Analytics
- Continuous Improvement and Kaizen Techniques
Duration: 6 – 8 weeks (self-paced).
Target Audience: Experienced professionals or individuals with prior knowledge of manufacturing analytics looking to deepen their understanding and expand their skill set in advanced analytics techniques.
Overview: In this course, participants will learn how to leverage manufacturing analytics to drive strategic decision-making and business growth. Through a series of case studies and interactive exercises, participants will explore topics such as demand forecasting, inventory management, production optimisation, with a view to implementing related data-driven initiatives in their business.
Topics Covered:
- Demand Forecasting and Inventory Optimisation
- Production Planning and Optimisation Strategies
- Strategic Capacity Planning for Long-term Growth
- Performance metrics for Manufacturing Analytics
- Risk Management and Scenario Planning
- Implementing Data-Driven Manufacturing Decisions
Duration: 8 – 10 weeks (self-paced).
Target Audience: Senior executives, managers, and decision-makers responsible for driving strategic initiatives within manufacturing and operations.