Significant Benefits of Statistical Process Control (SPC) Software

SPC Software Benefits

Statistical process control (SPC) is commonly used in manufacturing or production process to measure how consistently a product performs according to its design specifications.  By achieving consistent quality and performance, some of the benefits manufacturers can realize are:

  • Reduced scrap, rework, and warranty claims
  • Maximized productivity
  • Improved resource utilization
  • Increased operational efficiency
  • Decreased manual inspections
  • Improved client satisfaction
  • Reduced Costs
  • Extensive Analytics and Reporting

SPC, at its core, is the continuous statistical survey of parametric measurements to verify that measurements are performing in a normal distribution. While no two products of the same model and design will ever perform exactly the same, it should be assumed that performance of the products will follow the same basic distribution. Measurements taken from several iterations of the same product that do not follow that normal distribution can be indicative of a problem with materials, personnel, design, or the machinery used in manufacturing or test.

Continuous improvement goes hand-in-hand with utilization of SPC techniques. It’s critical that, when SPC provides early-warning of emergent issues, that key personnel on the manufacturing line are alerted and can take appropriate action to resolve the issue and prevent the nascent problem from being a line-stopping problem. By moving the responsibility on quality inspection more to real-time, SPC can help catch issues as they’re emerging, instead of after they’ve occurred. SPC Software monitors the consistency of production / manufacturing process to reduce variations and ensure each product is produced according to the design specifications.

According to an article written by Matthew Littlefield of LNS Research and published by AutomationWorld, SPC software provides the collection, analysis, visualization, and workflow capabilities of data. This data helps to minimize variability during production. As the article states, the primary users of SPC software today are machine operators, manufacturing supervisors, Six Sigma project managers and continuous improvement professionals.

Let’s discuss some of the significant / key benefits of SPC Software in detail:

1. Reduced Scrap, Rework and Warranty Claims

Uniformity is one of the key benefits of SPC Software. For example, if a customer buys a branded T-shirt that is of medium size and it fits him perfectly, he likes the T-shirt very much and so that he buys another one exactly like it the next day. The new T-shirt fits tightly because it was made too small, even though the label states “medium.” Another best example is soft drinks / cool drinks. All must taste the same, even though thousands of bottles are manufactured per day. SPC software assures uniformity of the final product, whether one unit or a thousand units are manufactured per day. By assuring uniformity to tightly designed specifications, product quality is assured and rework and RMA numbers can drop.

2. Maximized Productivity

Without SPC software, it is hard to identify the defects/problems during the production process. Problems can only be identified at the end of the production process, such as parts having defects. The production process has to be stopped or shut down completely to figure out the root cause of the problem causing the defect. Pinpointing and repairing the problem may take up more time. With SPC software implementation, production problems are caught during the manufacturing process, and only a small part of the production line has to be shut down. The work flow of the particular problem area can be diverted to a backup production assembly line. The entire production line never shuts down completely, and so the constant production is maintained. The same units per hour / per day of output is possible while the problem area of the production line is under maintenance / repair. Once repaired, the backup production assembly line can be taken out of the system and normal operation resumes.

3. Increased Operational Efficiency

SPC control charts display the statistical information for monitoring manufacturing quality in a graphical format. It detects and displays any unusual process variations so manufacturers can test for different causes / cases. Statistical information provides real-time analysis to set baselines for manufacturing, establish control over those baselines, improve the manufacturing process, identify the flaws or imperfections and correct them without relying on opinions or guesswork / assumptions.

4. Decreased Manual Inspections

Detecting any errors after production process may result in product waste. Once you’ve detected and corrected errors in the process, you can correct equipment settings and manufacture products faster, without the need for manual inspections. This is particularly true for the food & beverages /FMCG industry that works in a “tightly woven supply chain” and “must demonstrate that their products meet prescribed quality standards. As this industry progresses from inspections to SPC, it can collect and analyze the needed data to improve the overall manufacturing / operational efficiency.

5. Customer Satisfaction

The goal of every business is to meet (or) exceed customer’s expectations and to become a trusted supplier (or) long-term business partner to a customer thereby satisfying the customer needs. For example, a car manufacturer must rely on its parts supplier for good quality spare parts at cost-effective price. If a supplier sometimes ships low-quality parts, the manufacturer may take its business elsewhere. By using SPC software, the supplier is assured customer loyalty because the manufacturer can depend on a good quality product.

6. Cost Reduction / Control

SPC software is very helpful in reducing / controlling the manufacturing (or) production costs. By keeping an eye on the quality of the products, defects are caught before the products shipment (or) delivery of consignments. A best example of ineffective SPC is car recalls. It costs a car manufacturer hundreds of thousands of dollars to rework on cars to fix the problem. If SPC software is used effectively, the problem can be traced out before the final product leaves the manufacturing plant. As discussed above, scrap and rework expenses can be reduced by effectively implementing SPC software.

7. Extensive Analytics and Reporting

SPC software provides each level of user instant reports about their SPC data. All the reports can be previewed, printed, saved in PDF format or emailed directly within the program. For your managers and engineers, standard reports are customized based upon their specific requirements that can include multiple charts on one page. Process Information Reports, Product Inspection / Analysis Reports, and Cost of Analysis Reports provide your managers and engineers with data to compare processes and determine the costs associated with each process.

Besides the above, best-in-class SPC Software also provides some of the other proven benefits for your business including:

  • Reduced IT software support requirement
  • Reduced recurring / maintenance costs
  • Intuitive, configurable system interfaces
  • Reduction in software training
  • Customizable open source code
  • Cost of future innovation is dramatically decreased
  • Increased ability to respond to new opportunities

IntraStage offers industry’s leading real-time SPC software. It automates data collection and analysis on the manufacturing plant floor, allowing you to prevent defects before they occur, so that you can increase your productivity thereby improving your overall operational efficiency. Use IntraStage to save time and money and systematically improve quality.

Significant Role of LabVIEW Database in SPC Software

Introduction to LabVIEW

LabVIEW (short for Laboratory Virtual Instrumentation Engineering Workbench) is a platform and development environment for a visual programming language from National Instruments. The graphical language is named “G”. Originally released for the Apple Macintosh in 1986, LabVIEW is commonly used for data acquisition, instrument control, and industrial automation on a variety of platforms including Microsoft Windows, various flavors of UNIX, Linux, and Mac OS X. The latest version of LabVIEW is version LabVIEW 2009 which was released in August 2009.

Dataflow Programming

The programming language used in LabVIEW, also referred to as G, is a dataflow programming language. Execution is determined by the structure of a graphical block diagram (the LV-source code) on which the programmer connects different function-nodes by drawing wires. These wires propagate variables and any node can execute as soon as all its input data become available. Since this might be the case for multiple nodes simultaneously, G is inherently capable of parallel execution. Multi-processing and multi-threading hardware is automatically exploited by the built-in scheduler, which multiplexes multiple OS threads over the nodes ready for execution.

Graphical Programming

LabVIEW ties the creation of user interfaces (called front panels) into the development cycle. LabVIEW programs/subroutines are called virtual instruments (VIs). Each VI has three components: a block diagram, a front panel, and a connector panel. The last is used to represent the VI in the block diagrams of other, calling VIs. Controls and indicators on the front panel allow an operator to input data into or extract data from a running virtual instrument. However, the front panel can also serve as a programmatic interface. Thus a virtual instrument can either be run as a program, with the front panel serving as a user interface, or, when dropped as a node onto the block diagram, the front panel defines the inputs and outputs for the given node through the connector pane. This implies each VI can be easily tested before being embedded as a subroutine into a larger program.

The graphical approach also allows non-programmers to build programs simply by dragging and dropping virtual representations of lab equipment with which they are already familiar. The LabVIEW programming environment, with the included examples and the documentation, makes it simple to create small applications. This is a benefit on one side, but there is also a certain danger of underestimating the expertise needed for good quality “G” programming. For complex algorithms or large-scale code, it is important that the programmer possess an extensive knowledge of the special LabVIEW syntax and the topology of its memory management. The most advanced LabVIEW development systems offer the possibility of building stand-alone applications. Furthermore, it is possible to create distributed applications, which communicate by a client/server scheme, and are therefore easier to implement due to the inherently parallel nature of G-code.

Benefits

One benefit of LabVIEW over other development environments is the extensive support for accessing instrumentation hardware. Drivers and abstraction layers for many different types of instruments and buses are included or are available for inclusion. These present themselves as graphical nodes. The abstraction layers offer standard software interfaces to communicate with hardware devices. The provided driver interfaces save program development time. The sales pitch of National Instruments is, therefore, that even people with limited coding experience can write programs and deploy test solutions in a reduced time frame when compared to more conventional or competing systems. A new hardware driver topology (DAQmxBase), which consists mainly of G-coded components with only a few register calls through NI Measurement Hardware DDK (Driver Development Kit) functions, provides platform independent hardware access to numerous data acquisition and instrumentation devices. The DAQmxBase driver is available for LabVIEW on Windows, Mac OS X and Linux platforms.

Role of LabVIEW Database in SPC Software

LabVIEW database allows for creating custom applications that interact with real world data or signals. In fields like manufacturing, engineering this is very beneficial, especially where the SPC Software is used. LabVIEW database as part of SPC software ensures that a higher quality is delivered where a process is concerned, in less time and fewer people involved.

It contains several components, a lot of which are necessary for any type of test, measurement or control application. These components include G Programming, hardware support, analysis and technical code libraries, technology abstraction, modes of computation, UI components and reporting tools. While SPC software helps maximize productivity of a process, LabVIEW in SPC Software ensures quick and easy use of the SPC software and also ensures faster processing of data and improve business productivity.

LabVIEW Database Connectivity Toolkit

LabVIEW offers an additional Toolkit called “LabVIEW Database Connectivity Toolkit”. With this toolkit you can communicate with different databases, such as SQL Server, Oracle, etc.

How IntraStage Can Help You?

IntraStage is middleware solution that seamlessly connects all of your LabVIEW testers, legacy testers, and manual entry stations into a centralized LabVIEW database. Once in the database, IntraStage provides off-the-shelf web reports for quality and yield, as well as exporting the data to tools like Excel, Minitab, and JMP.  IntraStage also easily ties into enterprise systems, such as ORACLE, SAP and other MES/ERP systems.  Now your internal team can develop test databases faster with IntraStage.

How Does IntraStage Facilitate Intelligent Data Analysis

Many organizations today struggle with getting meaningful insights out of their Test Data. Partly this is due to the complexity of the collection and aggregation of the data, and also partly due to the actual types of data that is recorded at the Test Stations. This complexity is largely a result of the multitude of different file formats that exist within Test teams and organizations. Even in a specific product family there can be multiple generations of test formats and the way to capture the Test Data can radically change. This results in a fractured ecosystem of data formats which make it difficult for Test Engineers and Management to get a global view of what is going on with their product quality.

With some careful planning, the test data collected from TestStand Database can be full of rich insights if some standard tags are added to the overall Test Data format. By standardizing on an output like Extensible Markup Language (XML), Automatic Test Markup Language (ATML) etc the re-invention of formats is eliminated. As the saying goes “Data is useless unless it is acted upon”. Test Data is key to identifying cost and throughput drivers on the product line. These new insights and capabilities can include Test Equipment Utilization, Test Equipment Accuracy, Yield Root Cause drill downs and Statistical Process Control (SPC).

With IntraStage you can seamlessly integrate test data from different sources and lower your product design, manufacturing and return costs by finding quality trends quickly and accurately.

IntraStage empowers businesses to make critical decisions easily and quickly throughout the product development life cycle with its Statistical Process Control Software. It has proved invaluable in uncovering improvement opportunities in both product design and manufacturing processes. Using a web based interface, IntraStage provides immediate access to all of your test data enabling you to quickly identify trends, failure analysis and yields. Built in QA routines such as CP, CPK, SPC and Six-Sigma help you identify the main issues affecting product quality.

IntraStage has no limit to the number of users who can take advantage of managing and analyzing their Labview database, from development engineers’ right through to manufacturing managers. By automating the process of collecting test data, OEMs can mine the data better and have the real-time SPC capability to view issues and respond quicker to potential problem spots. Due to real time and historical access to all your product test data you can visualize trends, SPC data which means to reduce product rework, retest, test cycles and bring faster response to complex hidden product problems.

Having deployed IntraStage you can achieve some meaningful results from the Test Data Tags implemented. Now it has become clear that with IntraStage’s Statistical Process Control Software we can do Intelligent Data Analysis and increase the quality of engineering decisions. Start using IntraStage today and improve your capabilities and reliability of the test data collection and statistical process analysis.

Significant Role of SPC Software in Improving Quality

What is Statistical Process Control (SPC)?

Statistical Process Control is an analytical decision making tool paramount for any manufacturing or engineering company to improve product quality by reducing process variation. It is a powerful tool that assists you to identify potential problems in process control and helps to optimize process, reduce process cost and observe noticeable improvement on the bottom line. SPC applies statistical methods and enables you to understand the interaction between variables, allow you to predict the effect of a new strategy and helps minimize the need for expensive and time consuming off-line testing.

Quality is a critical part in manufacturing line, crucial for every business because good quality helps to determine a firm’s success in a number of ways such as customer retention, well-built brand status besides attracting and retaining skilled workforce. Quality control and development department uses various tools to identify the main issues that affect product quality and acts to streamline quality by implementing corrective actions that increase productivity and maximize growth.

Studies reveal that SPC is well-known methods followed for monitoring, controlling and improving the process through statistical analysis. Manufacturers who have a continuous improvement program in place adopt Web Based SPC Software to monitor and control process variations and prevent waste from occurring. Every organization has number of processes and variables that can affect product and service outcomes, one greatest challenge is find & focus the processes & variables that are of key importance.

SPC tools help identify areas that need attention, but managerial approach is required to use the SPC tools well. SPC Software guides you the type of action that is appropriate for improving the functioning of a process, analyze the return on investment and aid industries follow data-driven philosophy of quality improvement that values defect prevention over defect detection.

SPC Software has number of tools to evaluate processes. Using the right tool will give you the exact Data Reporting of the process. Data reporting of each process is shown in chart format. Control charts graphically display your process information in an intelligent manner to operators and managers. Different types of charts like control chart, flow chart, Pareto Charts, Cross-sectional Chart, Mean chart, CUSUM and EWMA Charts and g Chart determines the ability of a process to meet client specifications. Leverage on Intrastage’s software to integrate test data from different sources and develop plans that directly impact the bottom-line.