Blog archive

Popular tags

Logistics Planning for a Large Mineral Resources Company 09.05.2017 Rene Reiter

Companies in the mining and energy sectors face many of the same supply chain challenges of other industries. Transportation services, warehouse management, and global services are intertwined in moving equipment and supplies to the work site and shipping cargo to customers. These challenges make it difficult to predict the likely system impact of local decisions or how changes in one part of the system cause undesirable effects to other divisions. In 2013, the largest mineral resources company contracted Goldratt Research Labs and Amalgama to develop a simulation tool that would allow for better decision-making on a day-to-day and long term basis. The project requirements included...]

How Fruit of the Loom Saved 20% on Shipping Cost 05.01.2017 Rene Reiter

Fruit of the Loom (FOTL), one of the largest US apparel manufacturers was expanding its product line in early 2014 and faced the decision to add a new distribution center (DC) or to redistribute products to a pre-existing DC. To identify the benefits of each option in terms of cost and supply chain optimization, Fruit of the Loom required greater visualization than typical supply chain management tools could offer.

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. [...]

Managing River Logistics with Simulation 21.04.2015 Stepan Egorov

Inland waterway logistics have their own special aspects that include high seasonality due to weather conditions, long delivery times, restricted door-to-door delivery capabilities, and more. On the other hand, river transport is cheap, environmentally friendly, and allows large amounts of goods to be carried. Barges are widely used to carry both bulk cargo and containers. Simulation can help companies justify switching to river logistics by comparing water transportation to other means in terms of costs, throughput, or shipping time. Shipping operators can use simulation to optimize routing and fleet management policies, taking into account uncertainties, breakdowns, bottlenecks, weather conditions, and water level. The following is a success story of river transport simulation-based optimization in South America. [...]

AnyLogic Logistics Network Manager: Live Demonstration 09.12.2014 Rene Reiter

Recently, Timofey Popkov, Director of Business Development at The AnyLogic Company held a “Simulation Modeling for Logistics Optimization” workshop in Berlin, Germany, covering a range of topics from general benefits of simulation modeling and the various business uses, to how simulation modeling can improve a logistics network and a live demonstration of how it works. Beginning with an explanation of what simulation and modeling software solutions mean for various business challenges (streamline business processes, analyze consumer behavior, prevent bottle necks, optimize supply chains, etc.), the workshop videos also display a comprehensive look into simulation modeling specifically for the logistics network.[...]

Forecast Transportation Scenarios and Evaluate Alternative Solutions with ATOM 14.08.2014 Rene Reiter

Many companies operating large transportation fleets manage logistics with the help of master planning software, such as Oracle SNO, i2, iLog. These linear programing instruments are important, but not enough for successful transportation management and strategy. ATOM’s distinctive feature is the use of simulation models to reproduce the behavior of a real system. The simulation model includes specific characteristics, limitations, and uncertainty, then in addition, captures unexpected dynamics, unlike typical mathematical models.