Factory equipment is complex! Are you aware of the causes and reasons for the stoppages!? Are you just dealing with it superficially under time pressure...?
Factory equipment is complex, and "visualization" is necessary. It is more about "making visible the important things that are mixed in with the unimportant" rather than "making the invisible visible," which is a concept of data mining. Are we not just getting by with superficial measures due to the hassle and being pressed for time? Because it is complex, we should rely more on the power of computers than on humans. ◆ Issues - We must understand the reasons for stoppages and delays within the factory and organization, such as equipment failures. - We need to track phenomena and events that can occur at any time and detect specific timings. ◆◆ Improvement Proposals - Narrow down "possible causes" from information such as design requirements. - Record the operations of the narrowed-down potential causes. - If many records are needed, let's leverage the power of computers. ◆◆◆ Expected Effects - Computers will process a lot of information for us. - We can view and capture things from multiple perspectives. ★ IDIoT Proposal - The Ideal IoT System will solve this problem. - Let's get accustomed to using various sensors simultaneously to collect data.
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Our company provides ideal IoT systems for customers quickly and at a low cost. We eliminate all "preparatory work" (wasteful tasks) and create an environment that generates added value from visualized information. Focusing on the "3Cs" of Connect, Collect, and Coordinate, we visualize various data to achieve management, development, and research objectives.
