Quality Control and Acceptance Sampling

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    Quality Control andQuality Control and

    Acceptance SamplingAcceptance Sampling

    Oller, Mark Angelo O. L.

    BSBA Management

    Production & Operations Mgt.

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    Purpose of Quality Control:

    - T o assure that processes are performing in an acceptable manner

    Quality Control

    -A process that evaluates output relative to a standard, and takescorrective action when output doesnt meet standards. If the results are

    acceptable, no further action is required; unacceptable results call for

    corrective action

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    Quality Control Techniques

    can be applied to an organizations inputs, transformation system, andoutputs

    Acceptance Sampling

    quality control applied to inputs and outputs

    Process Control

    quality control applied to the transformation system

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    INSPECTION

    Is an appraisal activity that compares goods or services to a standard

    Involves determining, sometimes by testing, whether or not an input or

    output conforms to organizational standards of quality

    it occur at three points:

    1.Before production the logic of checking conformance is to make surethat inputs are acceptable

    2.During production the logic of checking conformance is to make sure

    that the conversion of inputs into output is proceeding in an acceptablemanner

    3.After production the logic of checking conformance is to make a finalverification of conformance before passing goods on to customers.

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    Inspection before and after production often involves ACCEPTANCE

    SAMPLING procedure; monitoring during the production process is referred

    to as PROCESS CONTROL

    INPUTS TRANFORMATION OUTPUTS

    Acceptance Sampling - Process Control - Acceptance Sampling

    Where to Inspect in the Process?

    1.UPON RECEIPT OF RESOURCES checking the quality of raw materials

    and purchased parts and supplies, testing equipment for ability to meetspecifications, verifying the skills of the staff

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    2.BEFORE TRANSFORMATIONOPERATIONS BY THE WORKER if anoperation is expensive, irreversible (such as mixing food ingredients), or

    of a concealing nature (such as assemblies, coating, plating)

    3. IMMEDIATELYBEFORE ANYBOTTLENECKOPERATION

    there is no advantage in feeding a scarce resource defective items thatsimply consume more of its time

    4.WHEN THE FIRST FEW ITEMS COME OUT OF AN AUTOMATIC OPERATION

    5.AFTER TRANSFORMATIONOPERATIONS

    6.INFINDINSPECTION

    7.WHEN CUSTOMERS COMPLAIN, RETURN GOODS,OR REQUIRE SERVICE

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    Example of inspection points in service organization:

    Types ofBusiness Inspection Points Characteristic

    Fast food -Cashier Accuracy

    -Counter Area Appearance, Productivity

    -Eating Area Cleanliness, No loitering

    -Building & Ground Appearance,S afety

    Hazards

    -Kitchen Cleanliness, Purity of

    food, Food storage,

    Health Regulations

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    Quality of Conformance

    a product or service conforms to specifications

    Statistical Process Control

    to evaluate the output of a process to determine if it is statisticallyacceptable

    Control Chart

    A statistical tool used to distinguish between variation in a processresulting from common causes and variation resulting from special causes.

    It presents a graphic display of process stability over time.

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    Purpose of Control Chart:

    To monitor process output to see if it is random

    To monitor the extent to which our products meet specifications. In the

    most general terms, there are two "enemies" of product quality:

    1. deviations from target specifications

    2. excessive variability around target specifications

    How do we develop a control chart?

    Developing a control chart consists of four major steps:

    Step 1: Determine what to measure

    Step 2: Collect the data

    Step 3: Plot the data

    Step 4: Calculate the control limits

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    Variable Data

    are measurable characteristic such as weight, temperature, anddiameter.

    Attribute Data

    are descriptive characteristic of an output such as acceptable and

    defective or good and bad.

    Chance Variation(Random)

    is the variability that is built into (actually, allowed to remain in) the

    system. There is a play between the gears and mechanical parts of

    machines; there is variation in the inputs; processing conditions are

    variable; and human performance is particularly variable.

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    Assignable Variation

    occurs because some element of the system or some operating conditionis out of control. A machine may be excessively worn, a part may be

    broken, a worker may be mistrained, inspection gages or instruments

    may be faulty, and so forth.

    Two types of Errors:1. Type I error is committed when an innocent defendant (a good-

    quality lot) is found guilty (declared defective)

    2. Type II error is made when a guilty defendant (a defective lot) is

    found innocent(declared of good quality)

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    Variables generate data that are measured

    Attributes generates data that are counted

    Mean Control Chart control chart used to monitor the central tendencyof a process

    Range Control Chart control chart used to monitor process dispersion

    p-Chart control chart for attributes, used to monitor the proportion ofdefective items in a process

    c-Chart control chart for attributes, used to monitor the number ofdefects per unit

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    Run Test

    a test for randomness

    Run

    sequence of observation with a certain characteristics

    Specifications a range of acceptable values established by engineering design or

    customer requirements

    Process Variability

    natural or inherent variability in a process

    Process Capability

    the inherent variability of process output relative to the variation

    allowed by the design specification

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    Acceptance Sampling

    Acceptance Sampling form of inspection applied to lots or batches of

    items before or after a process, to judge conformance with predetermined

    standards

    Sampling Plans plans that specify lot size, sample size, number of

    samples, and acceptance/rejection criteria

    Single-Sampling Plan one random is drawn from each lot and every item

    in the sample is examined and classified as either good or defective.

    Double-Sampling Plan allows for a opportunity to take a second sampleif the results of the initial sample are inconclusive

    Multiple-Sampling Plan similar to a double-sampling pan except that

    more than two samples may be required