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Summer
2013
Master
of Business Administration- MBA Semester 3
QM0012-
Statistical Process Control and Process Capability
Q1. a. What
is Statistical Process Control? Distinguish between Statistical Quality Control
and Statistical Process Control.
(Meaning – 2 marks, Differences – 3 marks)
Answer : Statistical Process Control :
Statistical
process control (SPC) is a method of quality control which uses statistical
methods. SPC is applied in order to monitor and control a process. Monitoring
and controlling the process ensures that it operates at its full potential. At
its full potential, the process can make as much conforming product as possible
with a minimum (if not an elimination) of waste (rework or trash). SPC can be
applied to any process where the "conforming product" (product
meeting specifications) output can be measured.
Q2. a.
Explain the Cause and Effect diagram.
(Explanation
– 5 marks)
Answer :
Cause and Effect diagram :
Cause and Effect
Diagram, also called as “fish bone diagram” or “Ishikawa diagram”, shows
relationships between events and is a useful analysis in generating ideas and
in identifying the root cause of problem. It is used to brainstorm out possible
contributing causes of a particular problem or defect. The cause & effect
diagram is the brainchild of Kaoru Ishikawa, who pioneered quality management
processes in the Kawasaki
shipyards and in the process, became one of the founding fathers of modern
management.
Q3. Explain
the structure and construction of Control Charts. Explain with an example how
to construct X-bar Chart and R Chart.
(Structure – 3 marks, Construction – 3 marks,
Examples – 4 marks) 10 marks
Answer :
Control charts :
A control chart
is a graphical representation of the collected information. The information may
pertain to measured quality characteristics or judged quality characteristics
of samples. It detects the variation in processing and warns if there is any
departure from the specified tolerance limits.
Structure of
control charts :
Q4. What is
the meaning of experimental design? Explain the guidelines for designing
experiments.
(Meaning – 3 marks, Guidelines – 7 marks) 10
marks
Answer : Experimental design :
In
experimentation we attempt to monitor the effects of certain inputs or material
on the subject matter, of interest. The inputs could be different hedgerow
leguminous plants planted under identical conditions, while the effects to be
monitored could be the changes in soil fertility status, the yield of
agricultural crops planted between the rows, the productivity of the animal
being fed with the foliage from the tree crops, or the tree crop performance.
Q5. Explain
the concept of Process Capability. Distinguish between Process Stability and
Capability. Mention the major uses of Process Capability.
(Explanation – 4 marks, Differences – 3 marks,
Uses – 3)
Answer : Process capability :
A process is a
unique combination of tools, materials, methods, and people engaged in
producing a measurable output; for example a manufacturing line for machine
parts. All processes have inherent statistical variability which can be
evaluated by statistical methods. The Process Capability is a measurable
property of a process to the specification, expressed as a process capability
index (e.g., Cpk or Cpm) or as a process performance
index (e.g., Ppk or Ppm
Q6. What is
Acceptance sampling? Explain the guidelines for using Acceptance Sampling.
(Meaning – 4 marks, Guidelines – 6 marks) 10
marks
Answer : Acceptance Sampling :
Acceptance
sampling is the process of evaluating a portion of the product / material in a
lot for the purpose of accepting or rejecting the lot as either conforming or
not conforming to quality specifications. Inspection for acceptance purpose is
carried out at many stages in manufacturing. There are generally two ways in
which inspection is carried out:
(i) 100% inspection,
(ii) Sampling inspection.
Dear students get fully solved assignments
Send your semester & Specialization name to our
mail id
->
help.mbaassignments@gmail.com
or
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