List of Process Control System products

  • classification:Process Control System

181~225 item / All 1656 items

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It won't break even after 1 million repetitions! A mat switch with reliable operation, high durability, and low price. Suitable for options in machine tools as well. Please consult us about delivery t...

  • Sensors

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We can accommodate high resistance over 10,000 ohms, with diameters ranging from approximately 30 mm to 8 inches, and we also offer thinning and chip processing arrangements!

  • Other semiconductors
  • Processing Contract
  • Wafer

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Automatically collect input amounts! Reduce calculation, transcription, and input time.

  • Other production management systems
  • Process Control System
  • Instrumentation and Control Systems

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Automatically collect input data! Contributing to operational efficiency and quality management.

  • Other production management systems
  • Process Control System
  • Instrumentation and Control Systems

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High-speed, low-power Google Edge TPU AI accelerator for embedded systems, equipped with NXP i.MX 8M SoC.

  • スクリーンショット 2026-04-30 174927.png
  • Industrial PCs
  • Process Control System
  • Other information systems

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AAEON, designed for embedded systems, equipped with NVIDIA Jetson Orin Nano, fanless functionality.

  • スクリーンショット 2026-04-30 172203.png
  • Industrial PCs
  • Process Control System
  • Other information systems

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AAEON, for embedded systems, equipped with NVIDIA Jetson AGX Orin, fanless functionality.

  • スクリーンショット 2026-04-30 172203.png
  • Industrial PCs
  • Process Control System
  • Other information systems

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AAEON, for embedded systems, equipped with NVIDIA Jetson AGX Orin, fanless functionality.

  • スクリーンショット 2026-04-30 171048.png
  • Industrial PCs
  • Process Control System
  • Other information systems

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AAEON, designed for embedded systems, equipped with NVIDIA Jetson Orin NX, fanless functionality.

  • スクリーンショット 2026-04-30 170001.png
  • Industrial PCs
  • Process Control System
  • Other information systems

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AAEON, for embedded systems, equipped with NVIDIA Jetson AGX Orin.

  • スクリーンショット 2026-04-28 173045.png
  • Industrial PCs
  • Process Control System
  • Other information systems

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AAEON, for embedded systems, equipped with NVIDIA Jetson Thor, 100GbE (OSFP28) x 1.

  • スクリーンショット 2026-04-28 171946.png
  • Industrial PCs
  • Process Control System
  • Other information systems

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AAEON, for embedded systems, compatible with 14th/13th/12th generation Core i & Core series 2, capable of mounting MXM GPU modules.

  • スクリーンショット 2026-04-28 163752.png
  • Industrial PCs
  • Process Control System
  • Other information systems

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AAEON, for embedded systems, equipped with Twin Lake Core i3-N335/Processor N150.

  • スクリーンショット 2026-04-28 170533.png
  • Industrial PCs
  • Process Control System
  • Other information systems

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AAEON, Raptor Lake 13th generation Core i7/i5/i3 Mobile, equipped with PCIe + PCI expansion slots.

  • スクリーンショット 2026-04-28 162625.png
  • Industrial PCs
  • Process Control System
  • Other information systems

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AAEON, for embedded systems, equipped with Meteor Lake Core Ultra 5 125U, extended temperature operation -10 to 50℃.

  • スクリーンショット 2026-04-28 162625.png
  • Industrial PCs
  • Process Control System
  • Other information systems

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Numerous overseas achievements: A production management system specialized in local support abroad.

  • Production Management System
  • Process Control System
  • Sales Management

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Sophisticated methods for conducting advanced analysis.

  • Business Intelligence and Data Analysis
  • Process Control System
  • Production Management System

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スクリーンショット ベイズ最適化_01.png

Utilization of the experimental design features of the statistical analysis software JMP in the manufacturing industry.

JMP is a software that not only excels in statistical analysis and graph creation but also has robust features for experimental design. By utilizing experimental design, efficient data collection can be achieved while keeping time and costs down. In this seminar, we will focus on the features of experimental design, specifically the sample size explorer and Bayesian optimization, and present examples of their application in the manufacturing industry in a demonstration format. [Overview] First half: Utilization of t-tests in the manufacturing industry and simulation of required data numbers We will explain the overview and examples of t-tests, which are used for various purposes in the manufacturing industry, and introduce analysis examples using JMP. Additionally, we will demonstrate how to simulate the relationship between the required data numbers for t-tests and statistical power using the sample size explorer. Second half: Utilizing JMP Pro Bayesian optimization - Application to simulation experimental data The Bayesian optimization platform is originally designed for experimental data that includes measurement errors; however, there is also a significant demand to apply it to simulation experimental data that does not include errors, such as CAE. In this seminar, we will introduce approaches for utilizing Bayesian optimization with simulation experimental data.

JMP

Transforming “time spent on data analysis” into “time that creates value”

  • Production Management System
  • Business Intelligence and Data Analysis
  • Process Control System

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Nagoya Seminar Announcement! Utilizing Data for Quality Improvement with the Statistical Analysis Software JMP (10/30)

Although quality data and process data are accumulated, there are challenges such as "missing signs of abnormalities" and "being unable to identify the cause when problems occur." In the seminar, we will cover practical methods for quality management and factor analysis, introducing a data-driven approach to problem-solving. We will explain analytical approaches that can be utilized in manufacturing sites, from quality monitoring to cause exploration during problem occurrences, with demonstrations included. 【Target Audience】 Quality management personnel in manufacturing Production technology and process improvement personnel Those who want to utilize process data and quality data Those who feel challenges in factor analysis when problems occur 【Overview】 1) Taking Quality Management to the Next Step - Utilizing JMP Beyond Control Charts Using quality management tasks as a subject, we will cover the flow from control charts and process capability analysis using JMP to cause exploration, as well as methods for sharing analysis results. 2) Data-Driven Factor Analysis and Quality Improvement An analytical approach to efficiently narrow down the causes of problems using process data and quality data. ▼ Details & Registration https://www.jmp.com/ja/events/seminars/discovery-seminar-series/2026/10-30

Reduce rework and waiting time through the standardization of reviews/approvals! Introducing ready-to-use role assignments and rules.

  • Process Control System

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Improvement in productivity due to a reduction in check man-hours! It is possible to grasp quality changes through regular diagnostics.

  • Process Control System

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Organize requirements, design, and change information from upstream before they become scattered, and proceed with development.

  • Process Control System

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To reduce rework in the downstream processes, organizing information during the design phase is key.

  • Process Control System

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Don't finish after the design! Connect to maintenance information and move on to the next improvement.

  • Process Control System

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Beyond the limits of Excel management! Connecting BOMs to build a robust system for design changes.

  • Process Control System

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Design changes and BOM are streamlined! Establish a system that allows for quick action without scattering product information.

  • Process Control System

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Don't just keep it to design; involve manufacturing and procurement to accelerate development.

  • Process Control System

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A BOM alone is not enough. We need to connect it to the processes and move forward with manufacturing preparations.

  • Process Control System

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Do not scatter drawings, BOMs, and specifications. Implement operations that ensure changes reach subsequent processes.

  • Process Control System

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Don't stop the design changes! Unify the flow of information from upstream to downstream.

  • Process Control System

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The OenoFoss2 for sake has been confirmed to be very suitable for routine analytical management in sake production!

  • Process Control System

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Multiple varieties, fluctuations, and labor shortages. A foundation that connects in a turbulent environment.

  • Process Control System

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It's not just about being visible. When the analysis returns, improvement begins to take shape.

  • Process Control System

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If we lower the hurdles to connect, the field will start moving more.

  • Process Control System

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Linking field data from the PLC/SCADA era to improvements and operations.

  • Process Control System

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Don't just stop at collecting equipment data; connect it to operational improvements.

  • Process Control System

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Don't just stop at visibility; utilize on-site data for decision-making and operations.

  • Process Control System

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Connect engineering information to create a flow that will also contribute to the next improvement.

  • Process Control System

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Reduce the difficulty in seeing progress and control the backlog and delays.

  • Process Control System

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Support quantity, delivery time, and quality not only through planning but also through execution accuracy.

  • Process Control System

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Identifying necessary functions while managing processes without overstrain.

  • Process Control System

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Don't let the concept of IoT utilization end as just an idea; steadily advance the digitization of on-site data.

  • Process Control System

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Capture both progress and anomalies on the spot and connect them to the next decision.

  • Process Control System

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Information from on-site control and management becomes valuable only when connected.

  • Process Control System

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I understand the necessity, yet progress is slow. We will overcome that barrier with ROI and phased implementation.

  • Process Control System

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Reaching the execution sites that are difficult to connect with just ERP. Transforming division into connection.

  • Process Control System

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