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Ford Motor Company Selects AnyLogic for their Simulation and Modeling Technology 16.06.2016 Rene Reiter

We are excited to announce Ford Motor Company's recent selection of AnyLogic for their simulation and modeling needs. Ford Motor Company's substantial analytics team was looking for simulation modeling technology that goes above and beyond discrete-event only tools. The analytics team working with AnyLogic will provide decision-making and problem-solving techniques for multiple industries inside Ford, such as manufacturing, finance, and supply chain. AnyLogic is proud to support Ford Motor Company. Check out the press release announced on a variety media outlets.
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anyLogistix Version 2.0, Released! 14.04.2016 Rene Reiter

We have released the second version of anyLogistix - a new tool for optimizing supply chains and logistics networks. What is anyLogistix? anyLogistix (ALX) - the only multimethod software for supply chain optimization. ALX combines traditional analytical methods of optimization and innovative simulation technology. The combination of different technologies allows you to model and analyze the supply chain, at any level of detail, therefore, finding more effective ways to improve. Who is anyLogistix made for? Companies with large and complex supply chains (i.e. manufacturers, distributors, retailers and logistics providers) can take advantage of anyLogistix. Implementation of ALX is carried out by our partners,consulting companies. [...]
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Automated Production Line Optimization: Case Study 26.01.2016 Stepan Egorov

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 configuration of the automated production line and factory, to minimize costs and maximize throughput and reliability. Throughput and equipment utilization rate metrics were utilized to compare alternatives. Centrotherm needed to avoid possible bottlenecks in the material flow and optimize in-factory logistics. Also, management required taking into account casualties and stochasticity, for instance, the probability of scrap or how the factory would operate in case of equipment breakdowns. [...]
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Production Plan Optimization at Ice Cream Manufacturing Plant 12.05.2015 Stepan Egorov

Conaprole, the biggest dairy production company in Uruguay, produces more than 150 SKUs in their ice cream plant, using five production lines, and up to five different packaging configurations for each line. The company plans ice cream production on a 12-month rolling basis as part of the Sales & Operations Planning process, and the demand plan varies a lot due to seasonality. The factory management needs to prepare the production lines for the peak season during the low season, taking into account product shelf life and the warehouse’s freezing cameras’ capacity and costs. The factory was often unable to meet the high season demand that generated stock-outs. In addition, management found it very difficult to reschedule quickly their detailed plans due to the challenges they faced including bottlenecks, production process constraints, and staff turnover. [...]
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GE Manufacturing Plant Uses AnyLogic for Real Time Decision Support 03.04.2015 Rene Reiter

“This is how GE does ‘startups’ – putting our researchers, manufacturing talent and commercial teams to work to create technology that serves customer needs around the world,” Immelt (CEO) said. “GE Energy Storage was born in New York’s Capital Region from an idea that we turned into an advanced manufacturing plant and a global business that we expect will generate more than $1 billion in revenue annually in just a few years.” (www.ecomagination.com, 2012) In 2012, GE opened a new battery manufacturing plant in conjunction with the launch of an innovative energy storage business. The new Durathon battery products, which are half the size of conventional lead acid batteries, but last ten times longer, are the result of GE’s $100 million initial investment in battery technology developed at GE’s Global Research Center (geenergystorage.com, 2014). Expanding the facility doubled production, added 100 new jobs, and brought the total factory workforce to 450 when at full capacity (geenergystorage.com, 2014).
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Shipyard Proves Order Fulfillment Capabilities and Gains Visibility into Production Facility and Distribution 24.09.2014 Rene Reiter

Admiralty Shipyards JSC, is one of the oldest and largest shipyards in the Baltic region, serving government and commercial customers world-wide for more than 300 years. The shipyard's military orders are primarily submarines, but also include non-military repair and the modernization and construction of other underwater technical innovations for oceanic development. Faced with a large order for diesel powered submarines, Admiralty Shipyards JSC (JSC) must evaluate whether the current production facilities can fulfill the order, and if not, what amount can be produced by the year 2016. JSC is also seeking confirmation that an additional production facility will not be needed to complete the order.[...]
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Manufacturing Simulation Model – Live Demonstration 13.03.2014 Rene Reiter

The manufacturing process is complex and can be impacted by many factors: supplies, equipment, factory overhead, management styles, etc. The more variables there are, the greater the possibility of disruption to the smooth operations of an industrial unit. The many factors that influence manufacturing costs and procedures can be analyzed with the use of AnyLogic Simulation and Modeling software. Decisions regarding manufacturing development, optimization, or reorganization can be costly while the potential benefits are often hard to justify prior to implementation. Simulation modeling is widely used in manufacturing for various problems from intermediate process optimization to strategic management. View this live demonstration of an Autoclave Aerated Concrete Factory where application of various storages and equipment pieces are showcased. Andrei Borshchev, CEO of The AnyLogic Company displays the internal components of the models development environment including the building process capabilities, available statistics and the option for 3D animation.
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