SAS® Quality Analytic Suite

Transcript

1 SOLUTION OVERVIEW ® SAS Quality Analytic Suite Driving new levels of quality performance manufacturing process, you can determine Staying Ahead of Rising ” You have to build root causes and deploy analytic models to Quality Expectations prevent future defective products from from a strategic Customer expectations of quality are higher being built. This holistic approach also - than ever, putting greater pressure on manu enables earlier warning of quality issues, - planning perspec facturers to continuously improve. Traditional accelerates problem solving and allows you approaches to quality improvement have to take proactive steps to avoid issues focused on optimizing specific processes tive. SAS has done before they occur. And ultimately, it drives based on limited data inputs. But that’s no lower costs, improved brand image and longer sufficient. To stay ahead of customer stronger sales. exactly that: They expectations and competitors, it’s vital that manufacturers have a holistic, customer- The good news is that technology innova - have created a driven view of quality. This approach helps tions such as social media, the connected you understand the complex relationships factory and the Internet of Things (IoT) are unified platform between the voice of the customer, the voice exponentially increasing the amount of of the product (i.e., information being detailed quality data available. The bad for manufacturers communicated by connected devices) and news is that this data often exists in silos the voice of the process (i.e., information across the organization, making it difficult to to gain a holistic being gathered from production equipment generate valuable, quality-related insights. and related areas). What’s needed is a way to aggregate data view of quality.” For example, imagine that you have a spike in from any source in near-real time and turn it warranty claims tied to a batch of products into practical insights. SAS can help with the Bob Parker , built in a short time frame with a specific SAS Quality Analytic Suite, an integrated, Vice President of Research, piece of equipment. Further investigation IoT-ready solution suite that turns data into IDC Manufacturing Insights uncovers a combination of environmental insight, regardless of whether it comes from factors that caused that piece of equipment external sites, internal systems or even real- to produce defective products. By tying data time monitoring. sources together from the field and the entire

2 customer experience to compete more Delivered on an IoT-Ready Driving Quality Performance effectively and even demand a premium for Solution Suite The SAS Quality Analytic Suite brings together products. On the other hand, subpar quality As shown in Figure 1, the SAS Quality four powerful quality improvement solutions: can be devastating, thanks to the broad - Analytic Suite runs on an IoT-ready founda - casting capabilities of social media and SAS Perceptual Quality – Understand • tion that can centrally access and analyze product rating websites. customer perceptions from social media, - everything from “dirty” sensor data to exten - review sites, forums and other unstruc sive operational and customer information With the SAS Quality Analytic Suite, you can tured sources. in a modular fashion. Data can be understand how your customers are – Detect SAS Field Quality Analytics • consumed as it is generated and instantly defining quality and stay in touch with their emerging issues and root cause within analyzed as it becomes available. expectations, which typically go well beyond warranty, call center and other field data the quality department’s definition of KPIs sources. In addition, the SAS Quality Analytic Suite and conformance to specifications. What comes ready to monitor incoming data in – Boost • SAS Asset Performance Analytics materials were used? Is it sustainable? Does real time, as it is generated, so you can apply uptime, performance and productivity it feel robust and reliable? Does it function models where and when needed. by harnessing machine-to-machine and the way – or as well – as I thought it would? sensor data. Did I get the value out of it that I expected? – Improve SAS Production Quality Analytics • Delivering Value Across - These are just a small sample of the ques quality and production performance by tions a consumer might use to evaluate a the Enterprise - integrating data from across the manu product. With SAS, you can evaluate As shown in Figure 1, SAS offers integrated facturing process and supply chain. customer sentiment for not only your own solutions that help you address the key products, but also your competitors’, by aspects of quality performance. Together, By delivering all of these solutions on a evaluating publicly available data from the they help you: single platform, SAS supports an industry- plethora of rating websites and social leading, enterprise approach to improving media, as well as by detecting patterns in Enhance the Customer Experience quality outcomes. Now you can: your own data such as call center records - Quality is at the heart of the customer expe and service call notes. - Have an enterprise view of your organi • rience, which encompasses the entire zation’s quality performance. customer life cycle – from awareness and Reduce Warranty and Recall Costs • Identify potential issues earlier. purchase to ownership and disposal. Warranty costs are a necessary, if not stra - Companies that get quality right – as • Find the root cause of quality issues tegic, part of doing business for manufac - defined by their customers – can harness the quickly and address it proactively. turers. With the SAS Quality Analytic Suite, you can keep warranty costs as low as possible by finding and resolving issues quickly. Patented early warning algorithms Quality Analytic Suite detect potential issues months earlier, allowing you to start the problem-solving Model Report Data Early Analysis Monitor process earlier. The included analytics help Library Mgmt Warning Selection you isolate the population that is likely to fail, enabling smaller, more focused recalls. Production Perceptual Field Asset Quality Performance Quality Quality Faster detection, earlier resolution and more Analytics Analytics Analytics targeted recalls help minimize the direct financial cost of repair and replacement, as Model Data well as protecting brand equity by mini - mizing the impacts of product issues on customers and their experience. SAS/ACCESS Engines Event Stream Processing Telemetry etc... Regulatory ERP MES CRM/ Online Smart Call Center Communities/ Devices Networks Copyright © SAS Institute Inc. All rights reserved.

3 Challenges Improve Enterprise Quality and Poor quality performance Production Performance Poor quality performance is often due to disparate quality systems and data; ineffective The SAS Quality Analytic Suite integrates the measurement of quality metrics; ad hoc audit; compliance and risk management; poor relevant data from disparate and isolated - visibility into supplier quality; and broken feedback loops with engineering and produc systems to provide a holistic view of your tion records. product and process quality picture. Next, it applies advanced analytics, enabling you to Measuring return on investment for quality identify emerging issues, prioritize them and It’s hard to find the right balance between quality investments – for example, in higher- resolve them quickly. As a result, you can trust skilled labor and engineers, specialty software, advanced machinery and better raw mate - the quality of your products and manufac - rials – and quality outcomes. Every investment should ultimately help improve profitability. turing processes, be confident in production yields and schedules and achieve customer Siloed operational risk management orders on time. Equally important, you can When manufacturers rely on siloed processes and data between marketing, customer launch products faster and lower operational service, quality and engineering, proper measurement of quality metrics simply can’t and warranty costs – all while sustaining high happen. Everyone operates in isolation regarding process, product and supplier quality, customer satisfaction and profitability. without a formal, enterprisewide process for managing risk. Predict Maintenance Needs and High warranty and recall costs Warranty and recall costs are part of every manufacturer’s business, but to keep them from Lower Maintenance Costs consuming profits, companies need to identify emerging issues sooner, understand their Unplanned downtime wreaks havoc on total cost and business impact, and tackle priority issues faster. production efficiency. Not only are products not shipping, but workers sit idle. And once Traceability a machine develops a history of failure, Many stakeholders require quick traceability in the event of a quality issue, safety concern production managers tend to stockpile or other issue. Whether responding to a government regulatory body or a key customer, “safety stock” at great cost. But with the SAS you need to be able to pull data from disparate systems to quickly respond as needed. Quality Analytic Suite, you can automatically monitor system performance and predict Maximizing equipment uptime the likelihood of failure with enough window Capital-intensive industries rely on their vital assets. Equipment failures mean missed to enable orderly and planned maintenance production schedules and lost revenue. And planned downtime often consists of just-in- and help avoid costly line stoppage. As a - case maintenance and part replacements. You need a way to achieve optimized, sustain result, you can schedule production with able maintenance strategies and run assets at peak performance. confidence – with less unplanned downtime – and help eliminate unnecessary and costly maintenance. consistent approach to using analytics to Identify Root Causes Faster SAS® Differentiators improve quality outcomes, as well as a Thorough, accurate and reliable root cause A Common Framework for the common data model, workspaces and user analysis is crucial to solving quality and reli - Quality Life Cycle interface. In addition, the solution is modular, ability issues. With SAS software’s advanced While other approaches on the market focus allowing you to start by solving issues in one analytics and predictive modeling, you can on controlling and managing quality using a quality area and then add functionality as - perform root cause analysis quickly and effi mix of disjointed point solutions, SAS your analytics culture matures. ciently. This saves critical time, resources and delivers a common framework through the money. The SAS Quality Analytics platform SAS Quality Analytic Suite. It enables a includes a complete spectrum of analytical tools, such as: • Explorative analysis. - Using our custom analysis framework and interactive graphical inter Design of experiments and optimization. • Cause-and-effect analytical tools. • face, both the casual business user and the high-end statistician can Neural networking, regression analysis • use the SAS Quality Analytic Suite with ease. and clustering. Predictive modeling. •

4 Real-Time Analytics “The application of analytics has ultimately led us to a more holistic Through integration with SAS Event Stream Processing, the SAS Quality Analytic Suite understanding of the concept of quality. Quality isn’t just a PC working allows users to push analytic models from correctly. It’s people knowing how to use it, getting quick and accurate the Analysis Workspace to monitor streaming data. When alerts are generated, help from the company, getting the non-Lenovo components to work users are notified and can view results in the Early Warning Workspace, where they can well with the hardware and understanding what the customers like conduct further analysis. about the existing product – rather than just redesigning it because product designers think it’s the right thing to do.” Components The SAS Quality Analytic Suite includes: Mohammed Chaara, Director of Customer Insight and VOC Analytics, Lenovo SAS® Perceptual Quality Analyze unstructured data from internal and Advanced analytics help you sift through Enterprise-Quality Data external sources (social media, review sites, massive volumes of seemingly unrelated Management contact center, etc.) to detect emerging data to identify unknown patterns. Predictive quality issues, understand market reactions With the SAS Quality Analytic Suite, it’s never analytics empower you to automatically to product launches, and gather competitive been easier to integrate structured and assess the likelihood of failure or issue. And intelligence. unstructured quality-related data from using customizable models that adapt to sources across your business. Use it to trans - any situation, you can modify the solution to SAS® Field Quality Analytics form, standardize and cleanse any kind of address those variables that are most impor - data to prepare it for analysis. And harness Integrate warranty, call center and other field tant to your products and production logical and physical storage capabilities to data with key customer, product, manufac - processes. capture all aspects of the manufacturing turing and geographic information so you process – from suppliers through manufac - can receive early warnings; make informed, Advanced Ad Hoc Analytics turing and field performance. The result is timely decisions; and reduce warranty costs. To meet the unique needs of data scientists, an enterprise view of quality performance the SAS Quality Analytic Suite provides that helps you drive better quality outcomes. SAS® Production Quality Analytics access to the underlying SAS platform, Gain a holistic view of your manufacturing which provides extensive, high-powered Automated Early Warning processes to proactively address potential analytics. These power users can still take Analytics quality and performance issues. advantage of the full suite’s data integration With the SAS Quality Analytic Suite, you can and data quality capabilities, as well as identify quality-related issues early and take SAS® Asset Performance Analytics develop custom analyses for their own use proactive, corrective action. Patented algo - Improve uptime of crucial assets and reduce or to share across their organization. rithms detect issues months earlier. unscheduled maintenance, which increases productivity and reduces operational costs. SAS’ enterprise quality-centric data model captures large volumes of data across the entire product life cycle and prepares it for analysis, regardless of format or source. To contact your local SAS office, please visit: sas.com/offices SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2017, SAS Institute Inc. ® All rights reserved. 108982_G4501.0717

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