Today’s high-throughput oil and petrochemical laboratories need tools that not only automate laboratory data capture and analysis but also facilitate connectivity to help them improve reports on end products. The industry also needs to make sure its products are of a certain quality, optimize the efficiency and throughput of its continuous processes, keep within governmental product and safety standards, and control its processes with rigorous testing and real-time monitoring. Significant cost sensitivities of the chemical and petrochemical businesses require making and shipping products quickly and at a minimal cost. Complicating these cost savings efforts are increasing business and regulatory pressures

  • The values and principle of product testing and how to adopt the right mindset
  • How to overcome process obstacles in product transitions
  • Common pitfalls of product testing and how to avoid them
  • The selection and validation of methods.
  • Establishing the traceability of measurements and the selection and use of reference materials.
  • The evaluation of measurement uncertainty.
  • Defining and implementing test management strategies

DAY 1

Introduction

Product testing

  • Purposes
  • Term
  • History
  • Roles
  • Government role
  • Industry role
  • Consumer organization role

Enhancing Testing Skills with Mindset Tools

  • The Mindset Tools
  • The Tester’s Mindset
  • Mindset Tweaks

Decision analyst

  • Product-Testing Secrets
  • The Major Techniques
  • Non-packaged Goods Categories
  • Competitive Advantage

Day 2

Modern Testing Principles (MOP)

Unit testing best practice

  • Standards vs. principles
  • Unit testing principles

Overcoming process obstacles in product transitions

  • Resistance to Change
  • Great Things Never Came From Comfort Zones
  • Distributed Team
  • Make Sure Everyone’s on the Same Page
  • Changing Team Membership
  • Wasteful Daily Stand-Up Meetings
  • Handling Bugs and Urgent On-Demand Tasks
  • Integrating Testing in the Sprint

Day 3

Developing an Agile Testing Mindset and Automating

Common pitfalls of product testing and how to avoid them

  • Inadequate concept specification.
  • Missing or bad pricing
  • Surveying the wrong population
  • Ignoring key drivers
  • Wrong methodology
  • Inadequate sample sizes

The selection and validation of methods

  • Accuracy
  • Bias-systematic
  • Calibration
  • Certified Reference Material (CRM)
  • Laboratory developed methods-methods
  • Reference method-method
  • Validation

Day 4

Establishing the traceability of measurements and the selection and use of

reference materials

  • Principles of traceability
  • Traceability: The International Definition
  • International System of Quantities and Units (SI)
  • Establishing Traceability
  • Choice of the Reference
  • Reporting Traceability

The evaluation of measurement uncertainty

  • Introduction to measurement uncertainty evaluation
  • Approaches to measurement uncertainty evaluation
  • International activity
  • Uncertainty (of measurement)
  • Where do uncertainties come from?
  • The starting point
  • The finishing point
  • Model of measurement
  • Quantifying inexactness
  • Type A” and “Type B”
  • Propagation of distributions
  • Implementations
  • Conventional uncertainty propagation
  • Evaluating expanded uncertainty
  • Monte Carlo method
  • Propagation of distributions
  • Bayesian approach

Day 5

Defining and implementing test management strategies

  • Test Strategy
  • What is a Test Strategy?
  • Test Strategy vs. Test Plan
  • The process to develop a good test strategy document
  • Common sections of the test strategy document

This program is designed for Laboratory Managers, Technicians & Quality Assurance staff.

الجدول الزمني

  • 5 Days - Nov 16, 2026
  • english
  • face to face
  • Amsterdam - Netherlands
  • $ 5,950
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  • 5 Days - Jul 12, 2026
  • english
  • face to face
  • Medina - KSA
  • $ 3,900
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