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PathWave 제조 분석

키사이트의 4차 산업혁명 빅 데이터 고급 분석을 통한 유용한 통찰력으로 제조 역량 확대

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주요 특징

사양

주요 특징

옵션, SW, 액세서리

옵션 및 액세서리

리소스

완전히 새로워진 PMA 모바일 어플리케이션

완전히 새로워진 PMA 모바일 앱에서 손쉽게 생산 라인에 대한 유용한 통찰력을 얻고 생산 라인을 완벽히 원격으로 제어할 수 있습니다!

최신 스마트폰에 맞춰 설계된 PMA 모바일 앱은 다음과 같은 기능을 제공합니다.

스마트폰에서 시각화 및 차트를 구현할 수 있는 진정한 모바일 환경.
가장 우수한 수준의 연결 및 보안
실시간 및 온디맨드 알림

Apple App Store 또는 Google Play Store에서 “키사이트 PMA”를 검색하면 지금 다운로드할 수 있습니다!

*PMA 엔터프라이즈 에디션에만 제공*

Apple 및 Apple 로고는 미국 및 기타 국가에 등록된 Apple Inc.의 상표입니다. Google Play 및 Google Play 로고는 Google LLC의 상표입니다.

주요 특징

테스트 및 측정 전문 기술과 데이터 과학 및 빅 데이터 엔지니어링을 결합한 PathWave Manufacturing Analytics 플랫폼은 미래의 스마트 공장에서 조직의 모든 수준에 유용한 통찰력을 제공합니다. 실제로 작동하는 빅 데이터 고급 분석으로 수율을 높이고 재테스트 및 처리를 줄이며 저품질로 인한 비용을 낮춥니다. 고유하고 혁신적인 분석을 통해 투자 수익률(ROI) 및 비즈니스 결과를 가속화하십시오.

기술형

광범위한 드릴다운 및 필터를 사용하여 OEE(Overall Operating Efficiency), 수율, 최초 통과 수율, 재테스트, 볼륨 등의 측면에서 공장 성능을 확인하십시오.
작업 공간을 절약하고 필요 시 어디서나 실시간으로 나만의 맞춤형 대시보드를 볼 수 있습니다.

진단형

모든 수준의 작업자, 기술자 및 엔지니어를 위해 특별히 선별된 코드 없는 진단 도구 및 시각화를 사용하십시오.
몇 번의 클릭만으로 근본 원인 문제를 해결하고 여러 테스트, 시스템, 픽스처, 부품, 프로브 간에 비교할 수 있습니다.

예측형

최적화된 기계 학습 이상 감지 모델을 사용하여 실시간 제조에서 잠재적인 품질 문제를 예측합니다.
"심각도 높음" 경고만 받습니다. 재난을 예방하고 경고 피로 없이 품질 저하의 위험을 완화하기 위한 조치를 취하십시오!

규정형

최적화된 동적 부품 평균 테스트를 통해 실시간 적응형 테스트 한계를 규정합니다.
수평 및 수직 시스템에 대한 변환된 데이터와 통찰력을 활용하여 프로세스를 최적화합니다.

뉴스 및 이벤트

키사이트, PathWave Manufacturing Analytics(PMA) 솔루션으로 전자제품 제조 카테고리의 Top Analytics로 선정

전자제품 제조 4차 산업혁명 변화의 바람에 따라 키사이트가 선회한 방식

SBR Q3 호에서는 키사이트가 4차 산업혁명의 ‘밈(meme)’을 소개하고 전자제품 제조 4차 산업혁명 변화의 바람에 따라 어떻게 선회했는지 알아봅니다.

키사이트의 PathWave Manufacturing Analytics, EM Asia Innovation Award에서 "최고의 소프트웨어” 카테고리 수상 제품으로 선정

통찰력 개선

최상의 보드 품질 및 생산 스루풋으로 최고의 수익을 달성하는 것은 제조사들의 궁극적인 목표입니다. 높은 재테스트율은 생산을 저하시켜 EMS 제공업체의 출시 일정에 부정적인 영향을 미칠 수 있습니다. 4차 산업혁명 데이터 분석 솔루션인 PathWave 제조 분석이 한 글로벌 EMS 기업의 출시 시간 개선을 도운 방법에 대해 알아보십시오.

PM2288A PathWave Manufacturing Analytics software

수율 및 근본 원인 분석 개선

오늘날의 차량에는 복잡하고 연결된 디바이스로 구성된 거대한 네트워크가 탑재되며, 각 디바이스는 전력 효율과 통신, 데이터 처리, 지연을 고려해서 최적화됩니다. 그 결과 이제는 전자부품 제조업체들이 더 많은 데이터를 처리하고 분석 및 해석해야 하는 상황에서, 제조 현장에서의 빅 데이터 분석이 필수 절차로 대두되고 있습니다.

기능 테스트 장애의 복잡성 증가, 불량품 문제 등을 해소해 생산 수율을 유지하거나 개선하기 위해서는 근본 원인을 찾아내는 것이 중요합니다. 한 대규모 자동차 전자부품 제조업체가 PathWave Manufacturing Analytics를 활용해서 어떻게 RCA의 문제를 식별해 수율을 개선할 수 있었는지 확인해 보십시오.

빅 데이터: 넘쳐나는 경고

빅 데이터 분석은 큰 이점을 제공할 수 있지만, 그와 동시에 많은 양의 경고를 만들어내게 됩니다. 매일같이 거의 수백 개의 경고가 생성되고 전송되면서 사용자가 시기적절하게 그러한 경고를 처리하기가 어려워지는 문제가 있습니다. 실제로 경고 피로는 전자부품 제조 업계의 큰 과제로 대두되었으며 솔루션이 개발되기 전까지는 해소되지 못하는 것이 일반적입니다.

PMA의 변칙 경고 스코어링 모델은 가장 심각한 경고만 강조하는데 데이터 과학과 테스트 및 측정 부문의 지식을 결합하고 있습니다.

PMA 및 ISO 27001

국제 표준화 기구(ISO)는 자발적인 국제 표준을 개발하는 세계 최대의 독립적인 비정부 조직입니다. ISO 27001은 시스템과 프로세스를 보안 위반이나 데이터 오용 리스크로부터 보호해, 조직들이 데이터 보안성을 높일 수 있도록 도와줍니다.

PathWave Manufacturing Analytics(PMA)는 데이터 보안, 특히 고객 데이터를 매우 중요하게 처리합니다. 정보 보안 관리 시스템의 목적은 데이터의 기밀성과 가용성, 무결성을 보호하는 것입니다.

PathWave Manufacturing Analytics(PMA) 소프트웨어는 정보 보안 관리 시스템(ISMS)에 대한 ISO 27001:2013 인증에서 규정한 모든 물리, 논리, 프로세스 및 관리 규정을 준수하는 것으로 확인되었습니다.

Key Specifications

운영과 자산 관리의 전방위(360º) 감시

실시간 감시 및 이상 감지 자동화

4차 산업혁명 대비

이메일, SMS, 모바일 메시지 전송을 통한 이벤트 알림

온프레미스 또는 클라우드 기반 소프트웨어 환경

기술 개요 보기

PathWave Manufacturing Analytics의 역량 확대

워런티, 교정 및 서비스

KeysightCare 서비스 및 지원 프로젝트

모든 서비스 보기

지원

모든 지원 보기

소프트웨어 엔터프라이즈 계약

키사이트 소프트웨어 엔터프라이즈 계약을 효율적으로 활용해 조직을 위한 지속적인 가치를 포착하십시오. 엔터프라이즈 계약을 활용하면 재혼합이 가능한 라이센스 풀을 통해 키사이트 폭넓은 소프트웨어 포트폴리오에 유연하고 비용 효과적으로 접근할 수 있습니다.

관련 리소스

Application Notes 2024.07.31

Track Return on Investment with Before-After Comparison Module

This application note introduces the Before-After Comparison (BAC) module, a powerful tool designed to automate and simplify ROI tracking and performance analysis in board testing processes.

2024.07.31

Case Studies 2024.07.04

Fastrack NPIs from Fixture Design and Development to Mass Production

This case study explores the implementation of Keysight's Pathwave Manufacturing Analytics (PMA) to accelerate New Product Introductions (NPIs) from fixture design to mass production.

2024.07.04

Application Notes

Accelerating NPI Development with Pathwave Manufacturing Analytics (PMA)

This application note introduces the PathWave Manufacturing Analytics (PMA) innovative NPI Mode feature, streamlining the New Product Introduction (NPI) debug phase by offering real-time data collection and advanced analytics capabilities. This feature allows engineers to perform on-demand calculations of the Capability Process Index (CPK) and Part Average Testing (PAT) for quick insights into test stability and product quality improvement. Users can easily navigate the intuitive dashboard to select parameters and instantly generate CPK and PAT results. The note underscores the benefits of on-demand CPK analysis, including efficiently sorting test results and visualizing measurement trends. Furthermore, it discusses the significance of PAT6 limit recommendations in optimizing test limits and enhancing measurement data analysis. In conclusion, the NPI Mode in PMA empowers engineers to expedite the NPI debug phase, enhancing productivity and improving time-to-market, cost savings, and customer satisfaction.

Application Notes 2023.10.30

Utilizing PathWave Manufacturing Analytics Report Scheduler

This application note introduces the Report Scheduler feature within PathWave Manufacturing Analytics. The report scheduler automates the generation and distribution of reports, saving time, ensuring consistency, and providing customization options. Users can efficiently manage their scheduled reports, enhancing operational efficiency and data-driven decision-making. This article explores the benefits, customization options, and the process of accessing and managing scheduled reports, making it a valuable tool for manufacturers looking to streamline their operations and improve product quality.

2023.10.30

Application Notes 2024.05.08

Enhancing Automotive Radar End-of-Line Testing (EoLT) Efficiency with PMA

Keysight's Automated Radar Test System, coupled with the power of PathWave Manufacturing Analytics (PMA), provides a comprehensive solution for the automotive radar manufacturing process.

2024.05.08

Application Notes 2023.05.22

Unlocking New Insights with PMA Enhanced Probe Heatmaps

The PathWave Manufacturing Analytics (PMA) probe heatmap feature is a powerful tool providing manufacturers with valuable insights to optimize manufacturing processes and improve product quality. This paper discusses how manufacturers can visualize probe performance in a heatmap view to quickly identify failing probes and their location within the fixture, reducing troubleshooting time and minimizing downtime.

2023.05.22

Application Notes 2023.05.21

Failure Correlation Analysis

Analyzing RMA (Return Merchandise Authorization) data is crucial to identify return patterns and trends. Manufacturers can find common defects, design flaws, or issues that impact customer satisfaction. This paper discusses how to streamline Product Analysis with the PMA RMA-2 module.

2023.05.21

Application Notes 2023.03.28

Prioritizing with PathWave Manufacturing Analytics Report

This paper discusses the PathWave Manufacturing Analytics (PMA) solution, which is designed to provide real-time insights into manufacturing operations. PMA offers features such as data normalization and optimization, real-time monitoring, advanced analytics, and machine learning capabilities to help manufacturers improve their productivity. One of the key benefits of PMA is its ease-of-use for analytics report generation, which can save time and effort for manufacturers. By freeing up resources from report compilation, users can focus on fixing issues and taking preventive actions to improve overall efficiency.

2023.03.28

Application Notes 2022.10.27

Production Line Insight with PathWave Manufacturing Analytics (PMA)

This application note discusses how Pathwave Manufacturing Analytics uses big data analytics to provide valuable insights that could help improve the quality of the boards manufactured.

2022.10.27

White Papers 2022.11.08

Parallelism Handling Mechanism for PMA Workcell

This paper will focus on high-speed data processing and explore the optimal method for handling data arriving in such a manner, as well as the reasons why such scenarios require parallel processing instead of sequential processing.

2022.11.08

Application Notes 2022.11.03

Better Limits Setting with PAT Limit Recommendation

Part Average Testing (PAT) is a method that uses robust statistics to detect outliers, which is widely used in the automotive industry. PathWave Manufacturing Analytics (PMA) uses PAT to detect PAT anomalies and PAT Limit recommendations. This article will go over the PAT recommendations module in more detail.

2022.11.03

Application Notes 2022.08.19

Loading Data into PathWave Manufacturing Analytics

With the emergence of Industry 4.0, the deluge of devices, test software, and test equipment rushing to support the digital transformation of the factory has increased rapidly over the years.

2022.08.19

White Papers 2022.08.16

Design for Manufacturing and Test

A common ‘Design for Excellence’ approach in any product design process is the ‘Design for Manufacturing’ which is simply to ensure the products are easier to be manufactured. A significant and important part of this approach is the ‘Design for Manufacturing Test’ concept. A final product that was manufactured but is difficult to test to effectively measure its quality and reliability before shipping out may result in disastrous consequences when these products fail out in the field, especially when the products are used in mission-critical industries such as the automotive industry. In this white paper, we will look into detail of a single but important task that a design engineer needs to do as part of their design workflow. This task is where the engineer will need to decide which components to use and from which vendor in order to achieve the best outcome in terms of manufacturability. Here, we will introduce a concept and use case of ‘Design for Manufacturing Test’ to allow design engineers to focus more on their development.

2022.08.16

Application Notes 2022.08.16

Enhanced Alert Management Through Alert Customization

Being inundated with unfiltered alert notifications can be exhausting, which is a common reason why users neglect alert notifications. With the alert preferences module added to PMA, it increases your work productivity and saves you valuable time from performing searches for your frequent alert list and alerts that matter to you. Download this application note to learn how the personalized alerts could help you stay more focused and maximize your work productivity.

2022.08.16

Technical Overviews 2024.11.28

PathWave Manufacturing Analytics

PathWave Manufacturing Analytics is Keysight’s Industry 4.0 big data advanced analytics platform that helps customers to improve product quality and manufacturing operations. The new Workcell edition features a completely new database technology in the stack that reduces server hardware investments by up to 5 times to reduce initial setup costs, accelerate adoption and ROI.

2024.11.28

Application Notes 2022.05.23

Identify Scrap Board using PathWave Manufacturing Analytics

In electronics manufacturing, it was very common to get at least one, or a few scrap electronic boards. A scrap is a product in the process of manufacturing that is deemed to be unusable and unsalvageable and therefore will need to be thrown away or recycled for its raw materials, much like a food scrap. End customers or Original Equipment Manufacturers (OEM) who outsource their electronic board manufacturing get charged for scraps by their contract manufacturers (CM) but have no visibility on where they come from, why it is so and how to improve it. Without the help of some kind of analysis, they are unable to identify the root causes of scraps. “Nobody owns scrap", some might say. You just pay for it. This application note describes a technique that automates the process of identifying scrap electronic boards and analyzes the common issues with failing boards.

2022.05.23

Application Notes 2022.04.26

Achieving Test Coverage Assurance using PathWave Manufacturing Analytics

Quality is King. Producing quality products is the biggest goal in manufacturing and an uncompromised option. Quality is being considered in each stage of the product lifecycle, from design to early validation, and to mass-production testing. Engineers developed tests with the best test coverage to ensure all defective products remained in the factory. Keysight’s PathWave Manufacturing Analytics (PMA), an Industry 4.0 real-time big data analytics solution, not only helps improve manufacturing efficiency but more importantly provides actionable insights to manufacturers to ensure that the quality of test is never compromised in the manufacturing line.

2022.04.26

Case Studies 2021.11.05

Global Automotive Component Manufacturer Uses PMA to Speed Up Root Cause Analysis

With the concurrent outbreak of the pandemic and chip shortage, time to market is extremely crucial in fulfilling the market demand. This accelerates the demand and adoption for all kinds of IOT devices and analytical tools that can help with manufacturing health monitoring and maintaining high FPY (First Pass Yield). Nevertheless, there’s still a lot of opportunities to improve, especially in the functional test process. Root causing functional test failures can be difficult and complex. In this case study we will elaborate on how PMA enabled near real-time RCA of the equipment fixture issues on the production floor that caused a low yield scenario.

2021.11.05

Case Studies 2022.08.11

Moving from Static Limits to Dynamic Part Average Test (PAT) Limits

The current chip shortage in 2021 is expected to continue to put a strain on semiconductor and IC manufacturers despite them investing more in capital expenditure to increase manufacturing capacity, and which may, in the best case, take a few years to stabilize. There has already been challenges meeting customer demands and deliveries and those delays have caused further problems downstream with at least one car manufacturer temporarily shutting down car production lines due to part shortages. The challenge now is to deliver more components with the existing fully utilized equipment until that new capacity comes online. The successful and fast deployment of PathWave Manufacturing Analytics into production had helped them improve not only their overall equipment efficiencies, with a higher overall throughput, but also maintained the quality of the device test process and further reduce the extremely costly scrap due to false failures and retest. Using the PathWave Manufacturing Analytics solution was a transparent change to the production process that lead to tangibly significant business outcomes, such as cost savings and a lower cost of poor quality.

2022.08.11

Case Studies 2022.08.09

Automotive Electronics Manufacturer Revs Up Yield by 5%

Manufacturers now have more data to process, analyze, and interpret, making data analytics software a necessity on the manufacturing floor. One automotive electronics manufacturer quickly discovered the importance of analytics software when faced with unexpected challenges.

2022.08.09

Application Notes 2021.01.29

Effective Production Debugging with Actionable Insights

As the electronic manufacturing industry embraces digital transformation towards being a Smart factory, the abundance of test and measurement data generated from the production floor is a valuable source for advanced analytics to provide actionable insights that improve productivity and Overall Equipment Efficiency (OEE). Being an engineer supporting manufacturing production myself, I fully understand the pressure and challenge one can face during New Product Introduction (NPI) stage and Mass Production Run (MR) stage. An engineer these days have limited time and resources (like allocation of equipment and number of boards) to complete the test debug to release to mass production. Thereafter, to support production mode and sustain the high level of First Pass Yield (FPY) and product quality.

2021.01.29

Application Notes 2020.12.30

PMA Anomaly Detection Model: More Than Just off-the-Shelf ML Algorithms

Smart Factory big data analytics platform collected massive amounts of test and measurement data to product actionable insights. One of these insights would be test and measurement anomalies that may be a prediction of deteriorating product quality that may be due to parts, process or people. And the industry may be oblivious to the serious challenges from ‘alert fatigue’. In this paper, we will highlight the desired outcome and performance of our proprietary anomaly detection algorithm and alert scoring machine learning model that automatically rates, categorizes and filters the anomaly alerts by severity of a potential quality incidence.

2020.12.30

White Papers 2021.11.08

Identify Potential Golden Units using Part Average Testing and Process Capability Index Technique

In manufacturing, it was very common to use a golden unit as a reference unit for test development and debug. Multiple aspects such as product requirement, specification, functionality, choice of component and material are important to be considered in order to ensure all the golden unit is as close as it gets to the perfect unit. As an example, a new functional test script may need to be validated, and the golden unit will be used to make sure the new test is working as it should.

2021.11.08

White Papers 2021.10.26

PMA with NGRX Integration

PathWave Manufacturing Analytics (PMA) is an established Industry 4.0 web-based big data analytics solution for improving electronic manufacturing efficiency and quality. In the PMA stack, Angular 2+ is currently used as the client-side framework. In order to improve the performance of the platform, we will explore how to implement NGRX library into the existing client-side framework. The components and benefits of NGRX implementation will be discussed in this paper as well.

2021.10.26

White Papers 2021.06.22

PathWave Manufacturing Analytics and i3070 Integration with MQTT

Keysight offers a comprehensive portfolio of industry-leading In-Circuit Testing (ICT) test systems; namely the i3070, i1000 & i7090. Through the new Industry 4.0 readiness enhancements, the metadata and measurement data will flow seamlessly into the PathWave Manufacturing Analytics (PMA) server application for big data advanced analytics.

2021.06.22

White Papers 2021.04.29

Studying the Correlation Between Anomalies

Keysight’s PathWave Manufacturing Analytics (PMA) is an Analytics-As-A-Service (AaaS) big data, real-time advanced analytics platform. It is an established and proven solution that uniquely combines measurement science domain knowledge and data science. It has the capability to monitor the production process and detect the anomalies produced. However, the anomalies found by PMA across different tests are not linked hence we are unable to establish a connection between tests. The anomalies then can only be flagged as separate warnings, and clients can only investigate them one at a time. There is no collective analysis done to the anomalies. It is possible to manually locate similar anomalous patterns across hundreds of tests but it would require too much manpower. Thus, this has given rise to the need to quantitatively measure the correlation between anomalous patterns and group them together for further study.

2021.04.29

Application Notes 2019.08.11

Using PathWave Manufacturing Analytics to Achieve Greater Production First Pass Yield

Application note paper to promote PathWave Manufacturing Analytics (PMA) by describing how to make use of 2 features (Cpk table and False Failure analysis) within PMA to achieve greater production FPY.

2019.08.11

Application Notes 2019.08.26

Measurement System Analysis (MSA) for Manufacturing

Measurement System Analysis (MSA) ensures consistent quality of the manufacturing process. See how Keysight's PathWave Manufacturing Analytics can help.

2019.08.26

Case Studies 2019.06.03

Reducing Time to Market with PathWave Manufacturing Analytics

See how Keysight’s PathWave Manufacturing Analytics helped reduce engineering time, enabling one EMS manufacturer to reduce time to market by 6 months.

2019.06.03

Case Studies 2019.03.19

Probe Heatmap Tool Helps EMS Company Pinpoint a Costly Issue

This case study demonstrates the success of PathWave Manufacturing Analytics helping EMS company pinpoint and resolve a costly low first pass yield issue.

2019.03.19

모든 리소스 보기

다른 도움이 필요하십니까?

키사이트에 문의하기

PathWave 제조 분석

판매자: Keysight Online Sales

완전히 새로워진 PMA 모바일 어플리케이션

주요 특징

뉴스 및 이벤트

키사이트, PathWave Manufacturing Analytics(PMA) 솔루션으로 전자제품 제조 카테고리의 Top Analytics로 선정

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전자제품 제조 4차 산업혁명 변화의 바람에 따라 키사이트가 선회한 방식

SBR Q3 호에서는 키사이트가 4차 산업혁명의 ‘밈(meme)’을 소개하고 전자제품 제조 4차 산업혁명 변화의 바람에 따라 어떻게 선회했는지 알아봅니다.

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키사이트의 PathWave Manufacturing Analytics, EM Asia Innovation Award에서 "최고의 소프트웨어” 카테고리 수상 제품으로 선정

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통찰력 개선

수율 및 근본 원인 분석 개선

빅 데이터: 넘쳐나는 경고

PMA 및 ISO 27001

Key Specifications

PathWave Manufacturing Analytics의 역량 확대

소프트웨어 엔터프라이즈 계약

관련 리소스