Optimization
heuristics
Optimization
Tenaris provides advanced product technology and integrated supply chain management services on a global scale to its customers, which include the world’s leading oil and gas companies and industrial and engineering multinationals.
Tenaris’s industrial plants are located in Argentina, Brazil, Canada, Colombia, Ecuador, Indonesia, Italy, Japan, Mexico, Romania, Saudi Arabia and the United States. It has a seamless pipe production capacity of 4.3 million tons per year and seamless pipe production capacity of 2.9 million tons per year, and employs 23,500 people worldwide.
Tenaris is a world leader in premium connections, and is at the forefront of the development of tubular technologies that are necessary not only for operating in the world’s most complex oil and gas fields, but also for high-performance structural and mechanical applications.
Tenaris provides advanced product technology and integrated supply chain management services on a global scale to its customers, which include the world’s leading oil and gas companies and industrial and engineering multinationals.
Tenaris’s industrial plants are located in Argentina, Brazil, Canada, Colombia, Ecuador, Indonesia, Italy, Japan, Mexico, Romania, Saudi Arabia and the United States. It has a seamless pipe production capacity of 4.3 million tons per year and seamless pipe production capacity of 2.9 million tons per year, and employs 23,500 people worldwide.
Tenaris is a world leader in premium connections, and is at the forefront of the development of tubular technologies that are necessary not only for operating in the world’s most complex oil and gas fields, but also for high-performance structural and mechanical applications.
Challenges
ALDE
ALDE
TENARIS SIDERCA has a yard, ALDE, where it stores finished product (or even work in progress) to be dispatched by different means of shipment. ALDE’s management is crucial when it comes to meeting the stipulated shipping deadlines, as well as to optimize the movement equipment requirement and storage positions.
Key opportunities
- Selecting the best storage position for incoming material.
- Select the most convenient material for each shipment.
- Define optimized logics and auto-generate tasks to change storage positions (removal tasks).
- Automatically generate tasks to order the warehouse and anticipate non-productive needs.
- Optimized allocation of resources: Hysters, trucks and trailers.
- Determine task execution sequence to maximize resource utilization.
Methodology
Agent Based Simulation
Agent Based Simulation
- Simulator to validate optimization logics.
- Simulator for short term operative analysis.
- Simulator for long term strategic study.
Optimization heuristics
Optimization heuristics
- Algorithms for auto-generation of uncovering, ordering and anticipation tasks.
- Algorithms for shipping material selection.
- Algorithms for storage position selection.
- Algorithms for resource optimization.
- Algorithms for task prioritization and scheduling
Results
Some direct benefits of integrating optimization algorithms into the ALDE operation are detailed below.
- Material reception and storage logics in order to maximize operational performance.
- Integration with dynamic information sources
- Allocation of resources optimizing the distance traveled and minimizing downtime.
- Reduction of unproductive movements, such as uncovering or position changes.
- Tasks automatic generation to keep ALDE systematically ordered and with greater operational capacity.
- Tool to anticipate problems, analyze strategies, resource requirements sizing and evaluate improvement opportunities.
- Standardization of the operation by clearly setting all execution details (position, lane, header, trailer, among others).