Refinery Planning
Consultant/Trainer: Anwar Tatariya
Is your refinery leaving value on the table?
Misaligned plans, siloed teams, and market volatility can quietly erode margins and disrupt operations. If your planning process isn’t fully integrated — from long-term strategy to day-to-day execution — inefficiencies can cost you.
Stop reacting. Start optimizing.
This course gives you the tools to bridge the gap between planning and operations, align stakeholders, and make smarter, faster decisions that protect and grow your margin.
Refinery performance starts with better planning.
Join us and take control of the value chain — from feedstock to final product.
Misaligned plans, siloed teams, and market volatility can quietly erode margins and disrupt operations. If your planning process isn’t fully integrated — from long-term strategy to day-to-day execution — inefficiencies can cost you.
Stop reacting. Start optimizing.
This course gives you the tools to bridge the gap between planning and operations, align stakeholders, and make smarter, faster decisions that protect and grow your margin.
Refinery performance starts with better planning.
Join us and take control of the value chain — from feedstock to final product.
Cost
Location
Kuala Lumpur, Malaysia
Dates
TBD
About the Trainer
Anwar Tatariya is a refinery planning and optimization expert with over 25 years of global experience. He has led major projects across Asia, the Middle East, and Europe, specializing in refinery economics, scheduling, blending, and supply chain modeling using tools like AVEVA and AspenTech.
Anwar is the ideal trainer for this course thanks to his deep technical expertise and hands-on experience helping refineries turn planning into real performance gains.
Participants
This course is
ideal for professionals involved in refinery economics, planning, and
operations who want to improve alignment and decision-making across the
value chain. It s particularly valuable for Refinery Planners, Economists,
and Schedulers aiming to optimize planning models and better connect
with daily operations. Process Engineers and Technologists
will gain insight into how plant capabilities and constraints are reflected
in planning decisions, while Operations Managers and Production
Managers will benefit from understanding the economic drivers behind
operational targets. Commercial Analysts and Supply Chain
Professionals will also gain a clearer view of how market dynamics and
supply decisions impact refinery profitability.
Learning Objectives
By the end of this course, you’ll gain a comprehensive understanding of refinery planning — from long-term strategy to short-term scheduling. You’ll learn to translate commercial goals into actionable plans, optimize LP models, and improve refinery margins under operational constraints. The course will help you identify gaps between planning, scheduling, and operations, and make confident decisions in response to market shifts. You’ll also enhance collaboration across planning, operations, and commercial teams for more efficient, profitable outcomes.
Day 1
Day 2
Day 3
- Fundamentals of Linear Programming
- Refinery Planning Process overview
- Crude Assay Data management
Day 2
- Insight to Planning processes
- Long Term / Strategic Plan
- Annual / Budgetary Plans
- Monthly / Weekly Operating Plans
- Special case studies
- Planning model – best practices
- Process submodel building – best practices
Day 3
- Multi-period & multi-site planning model
- Planning model update – best practices
- Back casting using LP
- Crude indifference value analysis
Programme
Day 1
Day 2
Day 3
- Fundamentals of Linear Programming
- Refinery Planning Process overview
- Crude Assay Data management
Day 2
- Insight to Planning processes
- Long Term / Strategic Plan
- Annual / Budgetary Plans
- Monthly / Weekly Operating Plans
- Special case studies
- Planning model – best practices
- Process submodel building – best practices
Day 3
- Multi-period & multi-site planning model
- Planning model update – best practices
- Back casting using LP
- Crude indifference value analysis