By adopting software, you surface information—machine data and productivity data—that makes it possible to get the most out of your equipment and processes. By addressing emergent equipment issues and maintaining effectiveness, you can lower costs and enhance profits. With ongoing production refinements, the efficiencies add up, year over year. You can enable a level of cost-effectiveness that supports a broad scope of customer opportunities.
You can think of processes as connected machines. For example, food processing typically includes a disassembly process (cutting) and an assembly process (packaging and batching). This might involve connecting multiple machines together into a line. With real-time data, you can immediately assess key performance indicators:
As your operation’s labor force turns over and product specifications change, your equipment needs to be finetuned to function in an optimal fashion. By surfacing data, management knows when productivity drops. For example, if a machine is cutting 480 pieces per minute and that pace drops to 300 pieces per minute, it’s immediately obvious. By digitalizing machines and processes with software, you can make the most out of your hardware, and accrue incremental and continuous optimizations that will distinguish your operation.
Say your raw material needs to be transformed to a specific thickness and weight. The customer, a restaurant chain, requires a consistent cook time and plate presentation. That customer wants a supplier that can satisfy product specification mandates at the lowest price. To attract that business and achieve your profit target, you need higher productivity and lower labor costs. If you’ve already mechanized factory equipment, the next step is automating food processing with software.
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