Transportation, specifically freight transportation, uses a huge amount of fossil fuels, particularly oil. In order to reduce this consumption and therefore lower greenhouse gas emissions, new and more energy efficient systems must be identified. This can be done using a number of different factors, including the better use of intermodal terminals.
One of the biggest FMCG retailers in Eastern Europe supplies to several hundred shops, across multiple regions, through a single distribution center. The company planned to change the arrangement of pallet racks and conveyors in the center. To evaluate the capacity of the new layout and to measure the effectiveness of the warehouse, they decided to have the AnyLogic Company build a simulation model of the warehouse.
SimWell helped RPM eco optimize a recycling supply chain and maximize material weight collected by trucks with the use of AnyLogic as reverse logistics software. They developed an end-to-end solution using predictive analytics in logistics, which resulted in a decrease in zero pickups and an increase in the average weight of each pickup.
Fracking is the process of cracking rocks using a combination of sand and water at high pressure to release trapped gas. Tecpetrol needed to optimize sand transportation for their fracking operations from various warehouses. They could do this best using a simulation model with a parameter variation experiment and then a simulation experiment. In the first 8 months of implementing this model, Eurystic saved an estimated $500,000.
Micro-fulfillment centers are small, sometimes highly automated facilities that can fulfill online orders for delivery as well as click-and-collect in-store pickups. They use a combination of automated picking technology and manual picking. Dematic wanted to create a workforce optimization model that they would be able to present to retailers. It would help them understand the staffing required to operate their micro-fulfillment centers and how different scenarios could impact their ability to fulfill orders.
A warehouse in Thailand was encountering difficulties because of a number of complicated processes involved in their logistics and storage systems. In order to overcome these and achieve more efficient warehouse operations, EPIC InnoLabs was contracted to develop a forecasting simulation model. This model would be used to predict system behavior based on a number of inputs as well as retrieve the expected values of selected KPIs.