Statistical Process Control Software in Delhi (स्टैटिस्टिकल प्रोसेस कंट्रोल सॉफ्टवेयर, दिल्ली)

Spc

As the name suggests, under our service of providing Statistical Process Control / Statistical Quality Control solutions to our clients, we assist in providing strategically planned process and quality control service to our clients related to their products and business processes. These processes are widely used in the automobile and electronics industry. The process of statistical controls involve the following: X-bar, R, Cp Cpk Values are calculated for each lot and the same is reflected in the test reports, which are sent to all the customers (depends on requirements) Auto generates X-bar Chart for each and every lot Lot behaviour of each every lot is monitored on the Production floor For the items where the Cpk values are good the corresponding tolerance limits are also shrunk on the Production floor The statistical quality control system we provide consist of the following: Incoming Quality Control (IQC) Inspection of characteristics of the incoming raw materials which is rejected or accepted on the parameters of LSL USL. Process Quality Control (PQC) This system inspects all the characteristics of a production process found out to be in or out of control based on the parameters of LSL USL. Finished Quality Control (FQC) This system inspects all the characteristics of a finished products which is found out as lot accepted or lot rejected, based on the parameters of LSL USL. Advantages of Statistical Process Control Increased profitability Improved quality Improved productivity Defect elimination Reduced cost of product Reduced inventory Improved reliability Reduced repair work Increased yield percentage Higher capacity utilization Reduced wastage Reduced manpower cost

Statistical Process Control

Process Control Software Service

PROCESS OPTIMIZATION KEEPING COSTS UNDER CONTROL

Process Control Software

Q-Das Qs-Stat

Proficiency in at least one of the widely used statistical software packages from SAS (licensed packages) or R (freely available) is a must for handling volumes of data, and doing high end analytics. Trainings in these packages need to be rich in examples, else may turn out to be very mechanical. Knowlvers very well understand this requirement.

SPC -Course Overview Introduction Statistical methods are effective tools for improving the process and reducing the defects. People often try to reduce defects by tracing directly back to the cause of the defect. This is a straight forward approach and , at a glance, it seems to be efficient. But, in most cases , causes the causes obtained from that approach are not true ones. Attempts bacomeabortive and the effort wastedStatistical tools lend objectivity accuracy to observations. The maxims of statistical way of thinking are :1. Give greater importance to facts than abstract concepts2. Do not express facts in terms of senses or ideas . Use figures derived from specific observational results3. Provides you adequate informationsto take correct decisionsThis three days training program aims to illustrate the application of statistical methods to real world problems with case studies. Duration 3 days Participants Managers, Process Engineers, change agents, Lean Six Sigma practitioners or others that desire an understanding of SPC Learning Objectives Understanding of basic statisticsHow to know the current capability of the processesHow to enhance process capabilityHow to identify the problem areasHow to prioritisethe problem areasHow to set a stretch targetHow to take identify the root causeBasic problem solving toolsHow to monitor and control the process Contents Introduction to SPCBasic statisticsBasic characteristics of the processSampling & data collection planPareto analysisCause and effect diagramHistogramScatter diagramProcess Capability studyBasics of control chartsRun chartI-MR chartX bar-R chartX bar-S chartAttribute control chartsP-ChartC-ChartNP-chartU-ChartIntroduction to MinitabMethodology to deploy SPCCase Studies

Statistical Process Control (SPC) is the application of statistical methods to the monitoring and control of a process to ensure that it operates at its full potential to produce conforming product. Under spc, a process behaves predictably to produce as much conforming product as possible with the least possible waste. While SPC has been applied most frequently to controlling manufacturing lines, it applies equally well to any process with a measurable output. Key tools in SPC are control charts, a focus on continuous improvement and designed experiments.How to use SPC?Statistical Process Control may be broadly broken down into three sets of activities: understanding the process; understanding the causes of variation; and elimination of the sources of special cause variation. In understanding a process, the process is typically mapped out and the process is monitored using control charts. Control charts are used to identify variation that may be due to special causes, and to free the user from concern over variation due to common causes. This is a continuous, ongoing activity. When a process is stable and does not trigger any of the detection rules for a control chart, a process capability analysis may also be performed to predict the ability of the current process to produce conforming (i.e. within specification) product in the future.When excessive variation is identified by the control chart detection rules, or the process capability is found lacking, additional effort is exerted to determine causes of that variance. The tools used include "Ishikawa" diagrams, designed experiments and Pareto charts. Designed experiments are critical to this phase of SPC, as they are the only means of objectively quantifying the relative importance of the many potential causes of variation.Once the causes of variation have been quantified, effort is spent in eliminating those causes that are both statistically and practically significant (i.e. A cause that has only a small but statistically significant effect may not be considered cost-effective to fix; however, a cause that is not statistically significant can never be considered practically significant). Generally, this includes development of standard work, error-proofing and training. Additional process changes may be required to reduce variation or align the process with the desired target, especially if there is a problem with process capability.

Statistical Process Control (SPC) : A method used for measuring, analysing, detecting and controlling process variation. This method may include the measurable quality characteristics control chart along with other techniques. Examples: X-Bar and R Chart X-bar and S Chart np and p Chart c and u ChartStatistical Quality Control (SQC) : The application of statistical techniques (SPC and statistical sampling) to control product characteristics to ensure it meets product specifications or the engineering design specification.

Software Factory is specialized form of Business Process Outsourcing. The client outsources his Software or Information Technology Department in full or in part. We at Mann-India have tailored this Software Factory model to suit Latin and South American market. Under this umbrella of Software Factory we have assembled a range of business offerings and service models. To name a few of them:On-SiteOff-ShoreNear ShoreManaged offeringsConsulting Services Please get in touch with our sales representative who will be more than happy to guide you.

Statistical Process Control

STATISTICA Base offers a comprehensive set of essential statistics in a user-friendly package with flexible output management and Web enablement features; it also includes all STATISTICA graphics tools and a comprehensive Visual Basic development environment.

Statistical Process Control Software

SPC

spc

Statistical Process Control Service

Statistics & Reporting Software

Statistical Process Control Software

Spc

Statistical Quality Control/Statistical Process Control