Automotive industry leaders use autonomous mobile robots (AMR) in their production facilities to improve productivity. In this case study, Tesla Material Flow Engineer and former BMW Group PhD Student and AMR researcher, Maximilian Selmair, describes standard industry practice when deploying large-scale transporter fleets and demonstrates how AnyLogic cloud-based simulation helps develop optimal task allocation algorithms.
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.
NLMK MSC is a strip steel service center in Manage, Belgium. MSC planned to implement a set of modernization activities to increase throughput by 1.5x at their facility. This case study shows how simulation modeling helped MSC to select optimal configurations for the facility and improve their productivity.
Engineers at a world-renowned German automotive manufacturer sought a modern and optimized production line for the company’s highly successful commercial van. With over 3.4 million deliveries of the commercial vehicle from various production sites, the company wanted an optimization tool with the flexibility to apply at different plants and account for technologies such as autonomous guided vehicles (AGV). The first stage of the project realized an efficiency gain of 5% and identified further significant gains for the next stage.
The model simulates the redesigned ground environment and production processes of the shop floor to be renovated. This is one of the significant examples of simulation modeling technology application in the metallurgical industry.
A global FMCG manufacturing leader optimized its food product inventory management while ensuring maximum service level and minimizing product quality deterioration. For this task, consultants from ITC Infotech built a simulation-based model of the FMCG company’s multi-echelon distribution network to find interdependencies between product quality deterioration, fill rates, and the shelf-life factor that helps inventory planning. As a result, the business would be able to decide how much product should be manufactured and make informed decisions.
GHD Analytics is evaluating the feasibility of green hydrogen production factory project from both the engineering and financial sides. For that, they apply green hydrogen supply chain simulation. This helps them link engineering design scenarios directly to business values, capture the complexity and risks, visualize processes, as well as account for the projects’ economics.
Eurystic, an Argentinian consulting company, worked on a project for a large steel manufacturer that was searching for production planning and scheduling software to optimize the production schedule and forecast the system's behavior.