Case Study
PTTES Optimizes PTT’s Oil Supply Chain with AIMMS
About PTT
PTT is a Thai oil and gas state enterprise company. It is a fully integrated upstream and downstream company covering oil and gas exploration and production, natural gas business, refineries and petrochemical plants and a network of main fuel and LPG terminals and retail stations throughout the kingdom.
Problem
PTT Energy Solutions (PTTES), a Technical Consulting firm that builds technical capabilities and enhances operational excellence for the PTT Group and Thailand’s oil and gas industry, was tasked with the development of a solution to optimize PTT’s oil supply chain network. The company’s immediate objective was to find the most efficient, timely and cost effective way to distribute fuel products from supply sources (refineries and imports) to demand locations (gas stations, power plants and industrial customers). On the long term, PTT was looking to identify the most optimal oil supply chain and assess facility capabilities to meet future demand. A number of factors were expected to impact the company’s capability, among them new government regulations for oil reserves and terminals, and pipeline extensions. It was essential to develop robust, reliable and sustainable expansion plans and get a complete view of the required investment.
Solution
PTTES and AIMMS co-developed a Network Optimization Application which is fit-for-purpose for the Oil & Gas Supply Chain. The application features include easy data transfer to and from Excel, multiple scenario analysis, advanced visualization of network changes and much more.
Results
With the App, the PTT team is able to:
• Optimize its distribution network and modes of transportation
• Understand cost-to-serve at all demand locations
• Find the optimum delivery envelope and reduce backhaul
• Find optimal locations for new terminals
• Identify the breakeven throughput fee for new pipeline investments and 3rd party terminals
• Optimize terminal operating hours
• Optimize blending locations
• Cost savings of up to $210 million
• Ability to calculate the break-even tariff for new investments
• Ability to identify the optimal network and future expansion plan
• Increased supply chain and planning efficiency
