In the foundry and casting industry, quality is everything. A single defect in a casting component can lead to massive losses—from rework costs and production delays to product recalls that damage your brand reputation. The real question is: how can we detect potential defects early, even before they escalate?
At the heart of every successful foundry and casting product lies one crucial element: material quality. The alloy metals used must meet strict specifications to ensure the strength, durability, and performance of the final product. However, ensuring consistent quality across the supply chain and production process is a complex challenge.
MoltenPlanner helps foundries predict molten composition before melting, using AI and production data. It supports CoA import, scale and barcode integration, and connects with OES/LIMS. The result: fewer trials, faster decisions, and lower material costs.
In the highly competitive automotive industry, efficiency and production speed are no longer advantages—they’re necessities. Quality Control (QC) laboratories play a vital role in maintaining the quality of automotive components.
The LIMS Stick looks like a typical USB flash drive, but inside is a smart system capable of transmitting data directly to your server or LIMS via Wi-Fi or Ethernet.
In many laboratories, especially in industries with strict data security protocols, IT policies prohibit certain instruments—particularly those still running legacy operating systems like Windows XP—from connecting directly to the network. The solution is…
Many laboratory instruments, especially entry-level or older models, lack communication ports like RS232, Ethernet, or Wi-Fi. Instead, they are only equipped with USB ports used for exporting analysis results.
Many manufacturers have adopted smart technologies in production—such as SCADA systems, IoT devices, MES, and ERP platforms—laboratory operations in many companies still rely on manual data entry, spreadsheets, or disconnected software tools.
Bottlenecks aren’t just about broken machines or slow processes—they’re any point in your production chain that limits overall throughput.
Implementing this standard often faces practical challenges—from manual data collection and difficulty tracking waste to the lack of systems that provide real-time visibility of environmental parameters.
LIMS manages laboratory test results, while SCADA monitors and controls field production processes. Both hold critical data—but without integration, their strategic value is limited.
It still produces valid data, but the user interface is almost unusable. Rather than accept those limitations, I decided to build something better.
Many manufacturing companies and laboratories in Indonesia already have well-established internal IT systems — from ERP and custom-built LIMS to database-driven dashboards. However, the biggest challenge often arises when trying to connect physical instruments such as weighing scales, spectrometers, or furnaces so that they can automatically send data to digital systems.