MBA 206 - Prod. MGMT - Unit 7
MBA 206 - Prod. MGMT - Unit 7
MBA 206 - Prod. MGMT - Unit 7
Unit VII: JIT and Quality: Definition of Just-In-Time (JIT), process of JIT, quality: costs of
quality, characteristics of quality, quality of the process, seven tools of statistics, quality
planning and improvement tools, specification and control limits, Total Quality Management,
principles of TQM, Deming’s 14 points.
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Just-In-Time (JIT)
The JIT strategy is based on the idea of minimizing waste, including excess
inventory, overproduction, and unnecessary waiting time. By producing only what is
needed, when it is needed, companies can reduce costs, improve efficiency, and
respond quickly to changes in demand.
Overall, the JIT strategy has been widely adopted in manufacturing industries
around the world, and it has proven to be an effective way to improve productivity,
reduce waste, and enhance customer satisfaction.
Overall, the JIT process requires careful planning, coordination, and execution
to ensure that products are delivered to customers quickly, efficiently, and with the
highest level of quality. By implementing JIT, companies can reduce costs, improve
productivity, and enhance customer satisfaction.
Prevention costs: These are costs that are incurred to prevent defects from
occurring in the first place. Examples of prevention costs include training
employees, improving processes, and conducting quality inspections.
Appraisal costs: These are costs that are incurred to evaluate or measure the
level of quality. Examples of appraisal costs include inspection costs, testing
costs, and warranty costs.
In addition to these two types of costs, there are also costs of internal and external
failures:
Internal failure costs: These are costs that are incurred when defects are
detected before the product is shipped to the customer. Examples of internal
failure costs include rework costs, scrap costs, and downtime costs.
External failure costs: These are costs that are incurred when defects are
detected after the product is shipped to the customer. Examples of external
failure costs include warranty costs, customer complaints, and lost sales.
While the costs of quality can be significant, the benefits of achieving high-quality
products and services can far outweigh the costs. High-quality products and services
can lead to increased customer satisfaction, improved brand reputation, and
increased market share. Additionally, by preventing defects, companies can save
costs associated with rework, scrap, and downtime.
1. Fitness for purpose: Quality products or services must meet the intended purpose
for which they were designed or intended. This means that they must be fit for the
purpose and meet the needs and expectations of customers.
6. Safety: Quality products or services must be safe for customers to use. They must
meet all relevant safety standards and regulations.
The seven tools of statistics are a set of techniques and graphical representations
used to analyze data and solve quality-related problems in various industries. The
tools were originally developed by Dr.Kaoru Ishikawa, a Japanese quality control
expert, and are commonly referred to as the "7QC tools". The seven tools of
statistics are:
2. Check sheet: This tool is a simple data collection form that is used to record data
in a structured and organized manner. It enables workers to easily and accurately
collect data on a specific process or issue.
3. Control chart: This tool is used to monitor and control a process by tracking data
over time and identifying any trends or patterns that may indicate a change in the
process.
5. Pareto Chart: This tool is a bar graph that displays the relative frequency or size
of problems in descending order of importance. It is used to prioritize the most
important issues that need to be addressed.
6. Scatter diagram: This tool is used to examine the relationship between two
variables by plotting them on a graph. It helps to identify any patterns or trends that
may exist between the variables.
7. Stratification: This tool is used to classify data into different categories based on
specific criteria. It helps to identify any patterns or differences in the data that may be
related to the categories.
2. Six Sigma: This is a data-driven methodology that aims to eliminate defects and
reduce variability in processes. It involves a structured approach to problem-solving,
using statistical techniques to measure and analyze data, and implementing process
improvements to reduce defects and variability.
Quality specification and control limits are important tools in ensuring that
products and services meet the required quality standards. Quality specification
refers to the set of requirements that a product or service must meet to be
considered acceptable.
Control limits: These are the boundaries within which a process is expected to
operate. Quality specification and control limits work together to ensure that products
and services meet the desired quality standards consistently.
Control limits are established based on the variability of a process. They are
used to determine whether a process is operating within acceptable limits. Control
limits are typically set based on statistical analysis of data collected over time. The
upper and lower control limits are used to determine whether a process is in control
or out of control. If a process falls outside the control limits, it is considered to be out
of control, and corrective action
5. Improve constantly and forever every process for planning, production and
service.
11. Eliminate numerical quotas for the workforce and numerical goals for
management.