AnyLogic Forum is moving to other platforms

This forum is now not officially supported and will be discontinued early in 2018. Registration and new topics are no longer possible.


To discuss AnyLogic-related issues, you are welcome to use LinkedIn user group and StackOverflow questions tagged with "anylogic".


案例研究

  • Highly Automated Production Line Planning and Optimization
    Centrotherm Photovoltaics AG is a global supplier of technology and equipment for the photovoltaics, semiconductor, and microelectronics industries. The company needed to identify the best automated production line and factory configuration to minimize costs and maximize throughput and reliability.
  • Modeling Operations at Pharmaceutical Distribution Warehouses
    Cardinal Health, a billion dollar pharmaceutical distribution and logistics firm, manages multiple products from brand name pharmaceuticals and generic drugs to over the counter drugs, health & beauty items and their own private label. They face a multitude of typical distribution warehouse challenges that are further complicated by the nature of pharmaceutical products. Brian Heath, Director of Advanced Analytics at Cardinal Health, and an experienced user of AnyLogic software, employed agent based modeling to solve various business problems, saving Cardinal Health over $3 Million annually.
  • GE Manufacturing Plant Uses AnyLogic for Real Time Decision Support
    In 2012, GE opened a new battery manufacturing plant in conjunction with the launch of an innovative energy storage business. GE’s exciting opportunity brought on many new challenges, such as increasing production throughput and yield under evolving processes and uncertainties, and reducing manufacturing costs in order to gain market share. The GE Global Research Center sought out a powerful and flexible tool to analyze, not just the specific process, but the manufacturing system as a whole.
  • Oil Pipeline Network Development: Finding Bottlenecks and Choosing the Right Policies
    One of the largest oil and gas pipeline operators in North America was delivering oil to a client that was not always able to accept the incoming batches. The operator was challenged to quantify the system impacts of deferred downstream deliveries. They also needed to determine whether the existing tankage at upstream oil terminals would be adequate to store the deferred batches.
  • 法兰克福机场的旅客流模拟
    作为几个主要国际机场的运营公司,法兰克福机场集团是临空产业的“全球级玩家”之一。 其位于法兰克福的机场,每天接待超过140.000的旅客,超过 80 架次的飞机起落 – 它是一个具有世界性意义的航空中心 – 作为 法兰克福机场集团的总部为其服务。
  • Warehouse Simulation for Choosing Optimal Picking Algorithm
    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.
  • Healthcare Decision-Support by Hybrid Simulation – Mobile Stroke Units
    Stroke causes severe disability, produces high costs for care and rehab, and its incidences are increasing due to an ageing population. Thrombosis causes most strokes and if possible, should be treated with thrombolysis (not in case of haemorrhagic strokes and after 4.5 hours have been elapsed). Currently, the process of transportation and internal hospital administration causes the patient to lose valuable time. Mobile Stroke Units have been suggested as a possible improvement.
  • An Agent-Based Explanation for SPMI Living Situation Changes
    Over the past 60 years, the number of Severely and Persistently Mentally Ill (SPMI) patients in the US living in the community increased. Yet a growing minority of people with severe illness are worse off because they are homeless or incarcerated. In this case study, IBM Global Research and Otsuka Pharmaceuticals used an agent-based approach to model these remarkable swings.
  • Analysis of Management Strategies for the Aircraft Production Ramp-up
    The Airbus Group joined the European Union ARUM (Adaptive Production Management) project, which is focused on creating an IT solution for risk reduction, decision-making, and planning during new product ramp-ups. The project is aimed mainly at aircraft and shipbuilding industries. Simulation was chosen as a part of the ARUM solution, because it would allow the participants to reproduce the real production facility experience.
  • Improving Mining Outbound Logistics with Agent-Based Simulation Modeling
    One of the largest resource companies in the world, with over $80 billion in sales, decided to enter a new market. It was planning to build a new potash mine with 90% of the resources exported. They wanted to design a reliable supply chain, with a high speed of supply replenishing, and the ability to recover from natural disasters and man-made crises benefiting from such volatility. Amalgama and Goldratt companies contracted this project to design the potash mining operations and a full supply chain of outbound logistics.