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.
Petronas, Malaysia’s national oil and gas company, faced supply chain delays and costly planning issues. They tackled these issues using an AnyLogic simulation model for oil and gas optimization, automating data, providing daily updates, and enhancing logistics efficiency through a three-step process. Results included faster planning, reduced risks, and better tracking, setting the stage for future innovations.
This case study explores how Mahindra & Mahindra implemented an AnyLogic simulation model to transform their storage operations. By focusing on warehouse optimization, the team reduced planning time, improved storage space utilization, and enhanced decision-making across their supply chain.
Pfizer, one of the world's largest pharmaceutical companies, asked Fair Dynamics, in collaboration with Health Services Consulting Corporation, to develop a platform that would help the company’s researchers test a new drug for patients with painful diabetic peripheral neuropathy. The platform would be based on previous clinical studies and act as a decision support tool, which could assess a patient’s personal parameters, prescribe drug dosage, and predict possible outcomes.
The port of Le Havre, France, needed support for construction of new multimodal terminal. The issue that required simulation was supporting containers transfer between rail trains/river barges and other existing terminals, which transferred these containers to and from sea transport.
Canada is the third largest country to have oil reserves. However, most of the oil is in oil sand – the mixture of sand, oil, and water – which has to be heated up with steam to emit the oil. It is costly to maintain such a distribution system, and outages may lead to disruptions in steam injection and oil production. Stream Systems company applied AnyLogic simulation modeling to optimize expenditures and capture production lags.
Amazon developed an approach to transportation network optimization for the customer’s seamless online shopping experience. Discover all the steps, from analyzing yard risks to developing complex traffic flow models to minimize delays and enhance customer satisfaction, especially during peak periods. Study the AnyLogic simulation models that drive Amazon's continuous improvement, saving time and resources.
Kuehne+Nagel, a leading global provider of logistics solutions, was involved in planning a new warehouse for one of their clients. The warehouse would process 13K order lines or 750 picking cartons per day. The project included the development of the best algorithm for multi-order picking. It was planned that the orders in the warehouse would be served by workers with trolleys (or fangos). Workers with trolleys would pick the goods and put them in cartons by order.
Alstom is a global leader in the transportation sector. The company offers trains, signaling, maintenance services, as well as integrated transport systems. Among Alstom’s products are the TGV and Eurostar high-speed trains. The company has 105 sites with more than 34,000 employees worldwide. Its net income is €475 mln. Alstom considers innovation to be crucial in meeting the mobility challenges of the future. Together, with SimPlan, they agreed on developing a digital decision support system for train fleet maintenance management.