
Ostium clarifies complex manufacturing and R&D problems by identifying root causes and defining the experiments needed to move forward.
Many engineering teams spend weeks debating problems that can be clarified in a single structured diagnostic discussion.
In a focused 60-minute session we clarify the problem structure and define the most effective investigation path.
When a team understands the problem direction but needs a clear experimental plan to isolate the critical variables.
In this session we design the minimum experiment required to test the leading hypotheses and reduce uncertainty efficiently.
We empower you with concise 2-days Lean six-sigma series, or engineering & technology program.
We provide professional courses designed for engineers, managers, and innovators.
Most engineering teams run experiments but too many rely on trial-and-error instead of structured experimentation. The result? Slow root cause discovery, unstable processes, and wasted development cycles.
Managers make high-impact decisions every day and often based on incomplete or misunderstood data. Misinterpreting variation, risk, and probability can lead to costly mistakes and reactive leadership.
Many improvement projects start with enthusiasm but fail to deliver measurable results. The problem is not motivation but the structure, clarity, disciplined execution, neglected stakeholders and risk assessment.
This course introduces the fundamentals of materials science with practical insights into polymers, formulation, and cleaning and detergent systems. Participants will learn how material properties influence performance and how characterization techniques can be used to analyze, optimize, and improve real-world products.
This hands-on program teaches participants how to design printed circuit boards (PCBs) using modern design tools. Participants learn to create electronic schematics into PCB layouts while applying design rules that ensure reliability, signal integrity, and CE compliance.
Exciting course on scorecard and survey analytics. We help small business owners evaluate their business performance using a digital scorecard platform. By analyzing key indicators such as customer experience, we provide clear analytics and recommendations that help owners identify weaknesses and make better strategic decisions.
Experience in engineering, manufacturing, and data-driven improvement
Designed and analyzed across engineering and R&D projects
Trained and supported in solving complex technical and operational problems
Our instructors come from diverse engineering and scientific disciplines including semiconductor manufacturing, machine design, process engineering, materials science, polymer science, formulation chemistry, and PCB layout design. With extensive industry experience, they have worked on complex real-world problems using advanced tools, modern engineering software, and industry best practices. Their practical knowledge ensures that every course delivers insights that can be applied directly in professional environments.

Eric Tan is an experienced engineering professional with expertise spanning semiconductor manufacturing, process and machine design.
With 18+ years of industry experience solving complex real-world technical challenges, he combines practical knowledge with modern engineering tools to deliver highly practical and relevant training.

Mel is an experienced PCB design specialist with expertise in electronic circuit layout, PCB design rules, and industry-standard design practices.
Using professional tools such as Altium Designer, Mel has worked on a wide range of PCB development projects for various industries. Mel delivers hands-on training focused on real-world PCB design challenges, provide tips and tricks in the industry.

Hande Cingil is a materials scientist with over 15 years of experience in polymer synthesis, materials science, and materials characterization.
Her work focuses on understanding the relationship between molecular structure and material performance using a range of analytical techniques. She brings strong scientific fundamentals and applied knowledge to help participants understand real world challenges.
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What We Do in the Session1. Problem Clarification
Define the observable issue and its impact.2. System Review
Understand the process, materials, equipment, and variables involved.3. Data Review
Examine available experimental results or production data.4. Root Cause Hypotheses
Identify plausible mechanisms explaining the problem.5. Experiment Strategy
Define the next experiments needed to isolate the critical variables.
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Most engineering teams run experiments, but too many rely on trial-and-error instead of structured experimentation. The result? Slow root cause discovery, unstable processes, and wasted development cycles.This 2-day intensive program equips engineers with the statistical thinking and experiment design tools needed to uncover critical factors, understand interactions, and optimize processes with confidence. Participants learn how to run fewer experiments while generating deeper insights accelerating innovation and improving yield.
Managers make high-impact decisions every day, often based on incomplete or misunderstood data. Misinterpreting variation, risk, and probability can lead to costly mistakes and reactive leadership.This 2-day executive-focused program develops statistical literacy for leaders. Participants learn how to interpret data critically, challenge weak analyses, assess risk properly, and make confident, evidence-based decisions in complex environments.
Many improvement projects start with enthusiasm but fail to deliver measurable results. The problem is not motivation, it is structure, clarity, and disciplined execution.This 2-day program teaches teams how to define problems clearly, manage data-driven projects, eliminate waste, and drive measurable improvements using Lean and Six Sigma principles. Participants leave with a structured framework to lead improvement initiatives that reduce cost, improve performance, and deliver real financial impact.
This 2-day course introduces the fundamentals of materials science with practical insights into polymers, formulation chemistry, and cleaning and detergent systems. Participants will learn how material structure, composition, and processing influence product performance, with emphasis on the scientific principles that govern material behavior in real applications.Participants will also explore key material characterization techniques such as thermal analysis, spectroscopy, microscopy, and rheology. Through practical examples, they will learn how these tools help analyze materials, diagnose performance issues, and guide formulation improvements, enabling better decisions in product development, quality control, and technical problem solving.
This course introduces the principles and best practices for designing professional printed circuit boards (PCBs) using modern design tools and industry standards. Participants will learn how to translate electronic schematics into reliable PCB layouts while applying proper design rules to ensure signal integrity, manufacturability, and compliance with industrial standards. Through practical examples, the course provides essential knowledge to create PCB designs suitable for real-world production.