JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

STATISTICAL QUALITY CONTROL

M.Tech I Year I Semester (R22)

Course Objectives:

  • 1. To understand the concept of underlying statistical quality control.
  • 2. To acquire knowledge of various process control methods.
  • 3. To understand various charts for control limits.
  • 4. To gain knowledge on the establishment of tolerances and limits.
  • 5. To understand various sampling methods.

Course Outcomes

After completion of the course the student will be able to

  • 1. Difference between quality control and inspection.
  • 2. Make various charts for process control.
  • 3. Implement various types of chart attributes.
  • 4. Explain various methods of establishing tolerance limits.
  • 5. Explain and apply various sampling methods.

UNIT - I

Quality – definition, difference between quality control and inspection, variable, attribute, assignableand non-assignable causes. Description of patterns of variation, averages, measures of desperations, sampling statistics, universe parameters, normal curves, theory of probability, random variables, there distributions, standard distributions, binomial hyper geometry, estimator, properties of estimator, estimate, point estimate, confidence interval, limits.

UNIT - II

X and R Charts, necessary steps, decisions preparatory to charts, making and recording, trail control limits calculations drawings of preliminary conclusions, relations between processes out of control and specifications limits use of charts, process capability, definition in analysis of process capability, sources of variability.

UNIT - III

Charts for fraction rejected need for charts for attributes, control limits for the P chart, necessary steps, decision preparation to control, decision on the selection of sub groups, choice between charts P and Chart for NP interpretation of lack of causes, reports and action, sensitivity of P charts.

UNIT - IV

Control charts for non-conformities, conditions favorable, control limits for C and U charts, U charts for non-conformities. Aspects of specification and tolerance, purpose and content, design and inspection, statistical methods setting better specification limit, establishment of tolerance limit by pilot runs, two statistical theorems precisions.

UNIT - V

Acceptance sampling, need concept, economics, symbols and terminology, formation of lot for acceptance, lot-by-lot Don roaming system for lot by lot, acceptance sampling by attributes. An AQL system for lot by-lot acceptance, sampling by attributes, selection of acceptance sampling system, determining the sample size code letter, probability of acceptance of lot having AQL percent defective, O.C. curves under normal, tightened and reduced inspections, calculating probability of switching N.T.N.

REFERENCE BOOKS:

  • 1. Statistical Quality Control / Shewart
  • 2. Statistical Quality Control / E. L. Grant / McGraw – Hill.
  • 3. Statistical Quality Control/ M. Mahajan / Dhanpat Rai & Co.
  • 4. Statistical Quality Control / Douglas.C Montgomery / Wiley / 2012.
  • 5. Statistical Quality Control / M. Jeya Chandra / CRC Press / 2010.
  • 6. Statistical Quality Control / Richad S. Leavenworth / Tata McGraw Hill. M. TECH. I Year I Sem. (IEM)

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