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  CUSUM Control Chart Terms & Conditions

process performance capability



Law Learning Outcomes

The program provides methods for quality control by applying statistical tool for use in production processes, but also means of control (process, product).

This approach allows the appraiser to rule on the relevance of the observed data whether to continue, to recalibrate or to stop the process.

The control can be applied in monitoring a single to various characteristics (qualitative and/or quantitative) of production, follow up physical or chemical parameters of process such as assays of active ingredients previously stabilised or neutralised.

The  main  aim  for  attendees  is  to  grasp versatile and relevant control tools

available, and operate them in single or combined way.

Times and costs are mandatory gages to streamline the implied tools in front of a wide range of situation and the required level of control vs risk management.


CUSUM Control Chart Prerequisites

Knowledge of quality tools such as (5M, Ishikawa, brainstorming), P values and statistical significance in processing computed data.

Measures Participants

Product managers and team leaders, Quality manager, Process technicians and staff invol -ved in controlling manufacturing processes.

Topics Covered

capability Introduction to basic statistics

  (knowledge underlying SPC subject)

- Definition of distribution (histogram)
- Measures of central tendency
- Measures of dispersion

EWMA chart Characteristics of Normal and

  Standard normal distribution

- Properties of Normal Distribution
- Introduction to Central Limit Theorem (CLT)
- Definition of normality and Henry's Law app

  lication (Linear regression mode).

* Case studies

CUSUM Control Chart Review of Probability Distribution Law

- Normal distribution-Poisson distribution and
  Binomial distribution

Measures Statistical Process Control – Steps


- Analysis of SPC flow-chart implementation
- The key steps content
- Application limits of SPC

capability Statistical control chart introduction

   (introduction to (Xbar) control chart)

- Transition from a single sampling to a

   multiple sampling distribution per standard


- Rules for  determining statistical control by

  distinguishing between common and special


- Parameters identification and characterisa- 

  tion: Tolerances, natural process limits, spe

  cification limits and calculating process per-

  formance metrics with target value.

- Graphical representation.

Normal Distribution Identification, calculation of capa-

   bility parameters for implementation

- Measurement Systems Analysis and per-

  formance Process capability indices's: Cp,

  Cpk, capability ratio, and assessing pro-

  cess capability,

- Process performance indices's Pp, Ppk and

  assessing process performance,

- Holistic approach according to “Taguchi's

  loss function”.

* Case studies

Control charts implementation

- Criteria, conditions and limits of applica-

  tion related to control charts characteris-

  tics: using
    Continuous data: Control charts for

       measures (Xbar, S, R)

    Normal Distribution Discrete data : Control charts for attri-

       butes (p, np, c, u)

- Specific Control Chart analysis :

    Cumulative Sum (CUSUM) chart,

    Law Exponetially Weighted Moving Average

      (EWMA) chart.

* Case studies

Measures Control Charts performance related

   to sample size

Two case study of charts:
- Shewhart Control Charts (measures of

- EWMA Control Charts (attributes of


EWMA chart Summary: Mapping of Control charts

How to recognize the control chart patterns related to your process control requests?

Workshop Organisation


Normal Distribution Organisation of Sessions

This Training program is currently provided inhouse or in our training centre, upon request.

The duration of the training is 3 days. Training is organised in six sessions (3,30 h each). Session schedule can be tailored according to organisational needs.

Law Teaching Method

This course is highly interactive and the participants will undertake several practical case studies related to a covered topics. The training includes extensive support provided to participants by the facilitator on the overall schedule.

Delivery of course materials and exercises (and corrected media guide) to each participant.





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