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Alhona's Logistics Simulation Library darbina ar Smart Industry Consulting and Technologies

Mēs esam tehnoloģiju uzņēmums ar spēcīgu rūpniecības pamatu, kas veltīts viedās nozares attīstībai, izmantojot vismodernākos programmatūras risinājumus. Mūsu konsultāciju pakalpojumi un pielāgotie risinājumi ļauj rūpniecības organizācijām pilnībā izmantot progresīvo tehnoloģiju potenciālu, pielāgojoties to unikālajām vajadzībām un darbības kontekstiem.

Kāpēc Alhona's Logistics Simulation Library?

Alhona’s Logistics Simulation Library was created to simplify the modeling and optimization of intralogistics systems. Designed for warehouse designers, automation engineers, logistics managers, and system integrators, it addresses the complexity and time demands of traditional simulation tools. Built on Siemens Plant Simulation, it offers a user-friendly, pre-configured toolkit to model automated storage systems quickly and accurately without any previous simulation experience. It solves key challenges like long setup times, limited visualization, and difficulty testing scenarios. With built-in heat maps and “what-if” analysis tools, users gain clear insights to improve performance and reduce costs. Our mission is to make advanced simulation accessible, enabling smarter, faster decisions in the evolving logistics landscape.

Alhona's Logistics Simulation Library

Priekšrocības

  • Rapid Modeling: pre-built components allow users to quickly design intralogistics systems without coding, significantly reducing setup time.
  • What-If Scenario Builder: test and compare different operational strategies or system configurations to identify the most efficient and cost-effective solutions.
  • User-Friendly Interface: designed for both engineers and non-technical users, lowering the learning curve and boosting cross-functional collaboration.
  • Seamless Integration: built on Siemens Plant Simulation, it integrates smoothly into existing projects and digital twin environments.
  • Cost and Time Savings: optimizes processes early in the design phase, helping avoid costly errors and reduce operational inefficiencies.

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Resource dimensioning

Resource dimensioning

Detect inefficiencies when planning the number of racks, workers or stations to be used. Model and analyze automated and manual material handling workflows to identify bottlenecks and inefficiencies. Empower non-technical users to create and test simulation models swiftly.