"As a COTS (Commercial-Off-The-Shelf) product, Simio fits perfectly to model the use of the armed forces logistics from Germany to Afghanistan. Simio allows detailed analysis and individual 'links' as well as an aggregated end-to-end analysis and optimization of complex supply chains of the Bundeswehr. Simio [adheres] particularly well to the supply chain approach."
Inadequate supply chain planning is a leading cause of downtime within facilities due to stockouts and underutilization of operational assets. It is widely agreed that the supply chain planning process is a complex one due to the need to monitor and manage multiple suppliers, forecast customer demand, and meet specified government regulations. The complexity of supply chain planning also includes random constraints such as unexpected weather changes, environmental concerns, and road conditions. Thus, we understand why your supply chain strategizing sessions sometimes end in conclusively concerning decision making.
Simio simulation and scheduling software provide the features needed to create supply chain simulation models to study and evaluate the dynamic nature of supply chains. The Simio software is a best-in-class supply chain analysis tool. With the software, you can create supply chain models that integrate both known and random constraints to optimize your plans.
The average supply chain planning software takes historical data and analyzes to develop supply chain plans but simulation takes planning a step further. Supply chain simulation modeling can handle both past, present, and future activities on the factory floor to forecast how quickly resources will be used against demand and the amount of inventory that is needed to forestall downtime.
You can create accurate simulation models with Simio using your available workflows and then analyze how diverse constraints such as a pandemic or a supplier missing specified deadlines will affect your plans. The insights gotten from the supply chain analysis can serve as your basis for answering complex “what-if” questions.
Industrial facilities now integrate the use of digital technology such as sensors and RFID tags to track freight movement and supply chain processes. While tracking data may provide insight into how quickly an order arrives, the Simio software can use the capture tracking data to develop optimized supply chain plans to enhance the entire supply process.
Harnessing both shop floor and tracking data through Simio’s virtual environment paves the way for developing optimized scheduling and production master plans. An optimized plan means optimized machine utilization, increased service-levels, and a happy customer base.
The Simio user-interface is custom-built for logistics specialists and project managers looking to optimize supply chain plans. Simio combines a photorealistic 3D environment with the OptQuest engine to help you receive the best simulation results through an interactive and visually appealing interface.