
Lean Beyond the Line: Next-Gen Techniques for Industrial Engineering Mastery
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JA
Jannet Anit
Date Published
February 04, 2026
Course Updated
February 04, 2026
Categories:
Innovation
Continuous Improvement
Tags:
About the Course
This course is designed to empower professionals, managers, and students with the ability to apply optimization techniques to make more effective and sound decisions. In an era where data is abundant and decisions are complex, optimization provides a structured, quantitative approach to solving problems, allocating resources, and improving processes.
Participants will learn core optimization principles, explore decision-making frameworks, and apply practical tools to real-world scenarios. Whether it's for business strategy, operations, or project planning, this course emphasizes the value of data-driven and model-based approaches to reach optimal outcomes.
Course Objective
- To understand optimization as a tool for rational decision-making
- To learn various optimization models and techniques (linear, integer, multi-objective)
- To apply optimization in resource allocation, scheduling, and planning
- To build decision-making frameworks that integrate both quantitative and qualitative factors
Course Outline
- Foundations of Optimization and Decision Science- What is optimization and why it matters
- Decision-making under certainty, risk, and uncertainty
- Linear and Integer Optimization Techniques- Linear programming and constraints modeling
- Integer and binary optimization for strategic decisions
- Multi-Criteria and Goal-Oriented Models- Dealing with conflicting objectives
- Weighting factors and trade-off analysis
- Applications in Business and Operations- Workforce planning, resource scheduling, and logistics
- Budget allocation and process optimization
- Decision Support Tools and Software- Excel Solver and other optimization tools
- Interpreting results and implementing optimal solutions
Target Participants
This course is ideal for:
- Students and professionals in business, engineering, and analytics fields
- Decision-makers seeking data-backed strategies for complex problems
- Operations and project managers looking to enhance efficiency and effectiveness
- Educators and consultants involved in problem-solving and process improvement
Certificate Requirements
- Completion of recorded webinar + quiz
- Pass the 10-item multiple choice with 80% mark
- Comment your feedback on the main page of the course
No frequently asked questions for this course yet.
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