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Operations Management as a Competitive Weapon. Module 3:. Statistical Quality Control. OM Course Framework. 3. Dependability - Project Management - JIT. 1. Cost - Design & Selection. 4. Flexibility - Inventory - Supply Chain - Location - Forecasting - Aggregate Planning.

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Module 3

Operations Management as a Competitive Weapon

Module 3:

Statistical Quality Control


Om course framework

OM Course Framework

3. Dependability

- Project Management

- JIT

1. Cost

- Design & Selection

4. Flexibility

- Inventory

- Supply Chain

- Location

- Forecasting

- Aggregate Planning

2. Quality

- TQM

- SQC


Learning objectives

Learning Objectives

At the end of this module, each student will be able to:

  • Discuss SQC background

  • Discuss SQC types and characteristics

  • Explain Statistical Process Control

Module 03: Statistical Quality Control


1 sqc background

1. SQC Background

  • Involves collecting, organizing, & interpreting data

  • Objective: Regulate product quality

  • Used to

    • Control the process as products are produced

    • Inspect samples of finished products

Module 03: Statistical Quality Control


2 sqc types

Statistical

Quality Control

Process

Acceptance

Control

Sampling

Variables

Attributes

Variables

Attributes

Charts

Charts

2. SQC Types

Module 03: Statistical Quality Control


2 sqc characteristics

Attributes

Characteristics for which you focus on defects

Classify products as either ‘good’ or ‘bad’, or count # defects

e.g., radio works or not

Variables

Characteristics that you measure

e.g., weight, length

Whole number or fractional value

2. SQC Characteristics


3 statistical process control

3. Statistical Process Control

Statistical

Quality Control

Process

Acceptance

Control

Sampling

Variables

Attributes

Variables

Attributes

Charts

Charts

Module 03: Statistical Quality Control


Statistical process control spc

Statistical Process Control (SPC)

  • Statistical technique used to ensure process is making product to standard

  • All process are subject to variability

    • Natural causes: Random variations

    • Assignable causes: Correctable problems

      • Machine wear, unskilled workers, poor mat’l

  • Objective: Identify assignable causes

Module 03: Statistical Quality Control


Control charts theoretical basis

95.5% of allX fall within ± 2X

Control Charts-Theoretical Basis

Module 03: Statistical Quality Control


Control charts theoretical basis1

Control Charts-Theoretical Basis


Control charts theoretical basis2

Control Charts-Theoretical Basis


Control charts theoretical basis3

Control Charts-Theoretical Basis

UCL

LCL


Control chart purposes

Control Chart Purposes

  • Show changes in data pattern

    • e.g., trends

  • Show causes of changes in data

    • Assignable causes

    • Natural causes

Module 03: Statistical Quality Control


Sqc types

SQC Types

Statistical

Quality Control

Process

Acceptance

Control

Sampling

Variables

Attributes

Variables

Attributes

Charts

Charts

Module 03: Statistical Quality Control


R chart

R Chart

  • Shows sample ranges over time

    • Difference between smallest & largest values in inspection sample

  • Monitors variability in process

  • Example: Weigh samples of coffee & compute ranges of samples; Plot

Module 03: Statistical Quality Control


X chart

X Chart

  • Shows sample means over time

  • Monitors process average

  • Example: Weigh samples of coffee & compute means of samples; Plot

Module 03: Statistical Quality Control


Sqc types1

SQC Types

Statistical

Quality Control

Process

Acceptance

Control

Sampling

Variables

Attributes

Variables

Attributes

Charts

Charts

Module 03: Statistical Quality Control


P chart

p Chart

  • Type of attributes control chart

  • Shows % of nonconforming items

  • Example: Count # defective chairs & divide by total chairs inspected; Plot

    • Chair is either defective or not defective

Module 03: Statistical Quality Control


C chart

c Chart

  • Type of attributes control chart

  • Shows number of nonconformities (defects) in a unit

  • Example: Count # defects (scratches, chips etc.) in each chair of a sample of 100 chairs; Plot

Module 03: Statistical Quality Control


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