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全新的 PMA 行動應用軟體

透過全新的 PMA 行動應用軟體，您可輕鬆獲得可具體改善生產線的洞察力，且從遠端進行各項操控！
PMA 行動應用軟體專為現今的智慧型手機而開發，可為您提供：
  • 專為智慧型手機打造的圖像和圖表，帶給您真正的行動體驗。
  • 最高等級的連接與安全性
  • 即時與隨選警示
立即到 Apple App Store 或 Google Play 商店，搜尋並下載 “Keysight PMA”！
 
* 僅適用於 PMA 企業版 *

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PathWave Manufacturing Analytics Mobile Application

Apple 和 Apple 標誌是 Apple Inc. 在美國和其他國家的註冊商標。Google Play 和 Google Play 標誌是 Google LLC 的商標。

產品特性

PathWave 製造分析平台結合量測專業知識、資料科學和大數據工程技術，可針對未來智慧工廠的各個層面，為製造商提供深入的洞察力，以便執行具體措施。 透過大數據進階分析，您可提高良率、減少重新進行測試與處理所耗費的時間，並避免因劣質產品而導致成本升高。 透過獨特的創新分析功能，您可加速回收投資並獲得豐碩的業務成果。

說明

  • 透過廣泛的深度資料分析與過濾，查看工廠運作績效，包括整體運作效率（OEE）、良率、直通率（FPY）、重新測試、產能等等
  • 節省工作空間，並且隨時隨地查看客製化儀表板，以掌握即時狀況

診斷

  • 提供專為不同層級的操作人員、技術人員和工程師設計的無程式碼診斷工具和圖像化功能
  • 您只需點擊滑鼠，即可找到問題根源，還可在多個測試、系統、測試夾具、零件、探測器之間進行比較

可預測性

  • 使用最佳的機器學習異常偵測模型，預測即時製造過程中潛在的品質問題
  • 只會收到「風險評分最高」的警示。 採取積極行動，避免造成災難性後果，並減輕品質不佳的風險，而且不再飽受大量告警疲乏轟炸

規範性

  • 透過經最佳化的動態元件平均測試，設定即時自適應測試極限值
  • 充分利用水平和垂直系統的轉換後資料和洞察力，將流程最佳化

 

新聞與活動

是德科技 PathWave 製造分析（PMA）解決方案榮獲「電子製造」類別的最佳分析獎

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Business Technology Excellence Awards 2022 for PathWave Manufacturing Analytics
How Keysight pivoted with electronics manufacturing industry 4.0 paper screenshot

是德科技如何因應電子製造工業 4.0 帶來的變革

在 SBR Q3 期刊中，是德科技談到了工業 4.0 的「迷因（meme）」，以及我們如何因應電子製造工業 4.0 帶來的變革。

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EM World 2019 獎 - 最佳軟體類別

是德科技 PathWave 製造分析軟體榮獲 EM Asia 雜誌「最佳軟體」類別的創新獎

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提升洞察力

所有汽車電子製造商的最終目標是，以最優質電路板品質和最高的生產傳輸速率，實現最高的營收。 如果需要一直重新測試，不僅會降低生產速度，也會拖延 EMS 供應商的產品上市時間。 了解 PathWave 製造分析軟體（工業 4.0 資料分析解決方案）如何幫助一家全球 EMS 公司縮短產品上市時間。

閱讀案例研究

Reducing Time to Market with PathWave Manufacturing Analytics

PM2288A PathWave Manufacturing Analytics software

提高良率並分析問題根源

現代汽車擁有一個由複雜互連設備所組成的龐大網路，其中每個設備均針對能源效率、通訊、資料處理和延遲進行了最佳化。 如此一來，電子製造商現在需要處理、分析並詮釋更多資料；因而必須在製造產線進行大數據分析。

隨著解決功能測試失敗或不良品問題的複雜性不斷升高，透過診斷來找出問題根源，以維持或提高產能，變得至關重要。 請閱讀案例研究，了解 PathWave 製造分析軟體如何協助一家大型汽車電子製造商找出 RCA 問題，進而大幅提高製造良率。

閱讀案例研究

Automotive Electronics Manufacturer Revs Up Yield by 5%

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

大數據：淹沒在警報中

大數據分析可帶來豐厚的回報，但同時也會產生大量的警示。 隨著相關工具每天都產生並送出上百條吿警訊息，管理者不斷被疲勞轟炸，根本來不及進行處理。 事實上，吿警疲勞已經成為電子製造業亟需克服的挑戰；然而，在設計解決方案時，這個問題經常被忽視。

PMA 的異常警示評分模型結合了量測專業知識與資料處理科學，可以單獨顯示最重要的警訊。

閱讀應用說明

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

PMA Anomaly Detection Model Diagram

PMA 和 ISO 27001

國際標準化組織（ISO）是一個獨立的非政府組織，也是全球最大的自願性國際標準制定機構。 ISO 27001 可協助企業提高資料安全意識，並導入可預防安全漏洞或資料濫用風險的系統和流程。

PathWave 製造分析（PMA）軟體特別重視資料安全，尤其是客戶資料。 設立資訊安全管理系統的目的是，保護資料的機密性、可用性和完整性。

PathWave 製造分析（PMA）軟體經過驗證，符合 ISO 27001:2013 資訊安全管理系統（ISMS）認證指定的所有實體、邏輯、流程和管理控制措施。

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主要規格

360º 全方位檢視運作和資產管理

自動化的即時監控和異常檢測

工業 4.0 準備就緒

透過電子郵件、SMS 或手機簡訊傳送事件通知

支援企業端部署或雲端軟體環境

查閱技術概述

擴充 PathWave 製造分析功能

保固、校驗及服務
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請即簽署是德科技企業級軟體服務合約，以便持續為您的企業創造價值。 此服務合約提供可重新混合搭配的授權方案，讓您能靈活、經濟有效地使用是德科技多元的軟體組合。

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精選資源

Application Notes 2024.07.31

Track Return on Investment with Before-After Comparison Module

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

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)

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

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

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

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

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

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)

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

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

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

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

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

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 2022.01.31

PathWave Manufacturing Analytics

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.

2022.01.31

Application Notes 2022.05.23

Identify Scrap Board using PathWave Manufacturing Analytics

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

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

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

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%

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

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

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

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

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

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

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

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) 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

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

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

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