Semiconductor demand is unstable, highly dependent on innovation cycles, and due to its volatility, the semiconductor supply chain is prone to the bullwhip effect. These challenges were compounded by supply chain shortages and the COVID crisis. This case study shows how supply chain engineers at Infineon optimized their supply chain and mitigated the bullwhip effect using simulation modeling.
The global e-commerce sector has seen 320% growth in five years, and demand is increasing following the COVID-19 pandemic. To reduce costs and remain competitive, DHL Supply Chain ran a warehouse operations optimization project. The project involved developing a smart and robust warehouse simulation tool for testing wave picking strategies.
Consolidated Contractors Company (CCC) is the largest construction company in the Middle East and ranks #18 internationally. CCC has offices and projects in over 40 countries, and a workforce of more than 130,000 employees. Just after contract signature of a site preparation project (earthmoving scope of approximately four million cubic meters), the client and local authorities placed new, more restrictive constraints on the operation. The newly placed constraints essentially meant that the project schedule will be severely impacted and with it the total cost to complete.
As the operating company of several major international airports, Fraport AG is one of the main “Global Players” in the airport industry. With more than 140,000 passengers per day and over 80 aircraft movements per hour, Frankfurt airport – an aviation hub of worldwide significance – is Fraport AG's busiest airport and its home base.
Amazon, the global e-commerce giant, is known for its innovative approaches, particularly in supply chain operations. This case study examines how Amazon leveraged simulation modeling to optimize its fulfillment logistics, focusing on energy efficiency and cost reduction without cutting down on speed.
Transocean is a Swiss offshore drilling company that provides rig-based well construction services worldwide. The company is one of the largest contractors in its sector and has offices in 20 countries. It operates a fleet of versatile, mobile, offshore units comprised of midwater, deep water, ultra-deep water, and harsh environment floaters. The company decided to build a digital twin of its well construction processes to enable prediction and advanced planning capabilities with the aim of optimizing operations across its fleet.
YPF is the largest oil and gas company in Argentina. YPF was aiming to reduce its costs associated with oil wells’ maintenance downtime and equipment breakdown. The analysis showed that the root cause of inefficiencies was the lack of a robust maintenance scheduling process. YPF approached Simcastia to develop a scheduling tool to streamline asset management at all YPF facilities.
GSK determined a possible 20% lower capital expenditure for the renewal of its biopharmaceutical manufacturing facility in Parma, Italy, by using simulation modeling. For analysis, planning, and decision support on the project, GSK worked with the award-winning tech application company Decision Lab.
Leading global steel producer, Tata Steel, optimized quicklime production operations using simulation. The analysis of five production scenarios led to a reduction in power consumption and operating costs at a quicklime production facility. Learn how they accomplished it in this case study.
Terminal San Giorgio in Genoa, Italy, planned the reorganization of their facility’s layout and operations, aiming to increase its throughput and make the terminal safer. They needed a port simulator – a digital twin of the terminal, which would serve as a testbed for container yard planning and help predict how the changes would affect the current operations.