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Quality Function Deployment – A new

approach for traditional medicines to

effective product and process

development of Guduchi Satva.

Correspondence Author

Pankaj D. Goriya{Ph.D Scholar (Ayu)}

Speciality - Rasashastra & Bhaishajya Kalpana

Co-Authors: Vinay J Shukla, Galib R, B J Patgiri, P K Prajapati

Dept. of Rasa Shastra & Bhaishajya Kalpana including Drug Research Institute for Post Graduate Teaching & Research in Ayurveda,

Gujarat Ayurved University, Jamnagar.

1st to 3rd July 2016

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Imagine that two pharmacists within the same company

are working on two different components of a formulation

like Tablets simultaneously but separately.

The “Granulation and Punching” pharmacist develops a

new Tablets that will keep for healthy life.

The “# size, drying, lubricating and punching etc” are

Activities of making tablets, but pharmacist is working on

a simpler lubricating and punching that will make the

tablets easier.

Technical Story:

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When, the new tablets is tested and works well with the old tablets.

Neither pharmacist is aware of the activities of other. As it turns out,

the combination of improper granules and excipients means that the

tablets can not stable longer with appropriate self life.

Hopefully, the problem will be detected in prototype testing before

the tablets are put into further processing (coating, packaging and

labeling etc).

At that point, one or both components will need to be redesigned.

Otherwise, tablets already produced will need to be reworked and

tablets already sold will have to be recalled. None of these

alternatives is pleasant and they all involve considerable cost.

Technical Story-cont:

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Could such problems be avoided if pharmacist worked in teams and sharedinformation? Probably not! Even in design teams, there is no guarantee thatall decisions will be coordinated.

A formal method is thus needed for making sure that everyone working on adesign project knows the design objectives and aware of the interrelationshipsof the various parts of the design.

Similar communications are needed between the customer and marketing,between marketing and engineering, between engineering and production,and between production and the worker.

In a nutshell, a structured process is needed that will translate the voice of thecustomer to technical requirements at every stage of design and manufacture.

Such a process is called Quality Function Deployment.

Technical Story-cont:

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A planning tool used to fulfill customer expectations.

A tool used to translate customer requirements to engineering

specifications.

Is a link between customers-design-pharmacists-competitors-

manufacturing.

A structured process for planning the design of a new product or

service or for redesigning an existing one. It emphasizes thoroughly

understanding what the customer wants or needs. Then those

customer wants are translated into characteristics of the product or

service. Finally, those characteristics are translated into details about

the processes within the organization that will generate the product or

service.

QFD Definition:

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Regarded as an important tool to:

Improve quality.

Reduce manufacturing costs.

Increase organization capabilities.

To make the organization more competitive.

Develop products that better fulfills users needs.

QFD-PURPOSE:

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Improves customer satisfaction.

─ defines requirements into basic needs

─ fewer customer complaints

Reduces implementation time

─ reduction in design changes

─ expensive corrections and redesigns are eliminated

Minimize Batch Variations.

Promotes teamwork

─ inputs are required from all facets of an organization

Provides documentation

─ database serves as a valuable source for future designs

Increases in market share

Benefits of QFD:

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Aims & Objective: A new approach for

traditional medicines like Guduchi Satva.

Ayurveda is the oldest medical system in the world. Guduchi

Satva is an important formulation of Ayurvedic system of

medicine since ancient times.

Present study deals to successfully integrate the quality of

product and maximum percentage of yield into the product

design and development process.

This example will show how method of preparations of

traditional medicine can be deployed throughout product design

and process development using quality function deployment.

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TRADITIONAL METHOD OF PREPARATION OF GUDUCHI SATVA.

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The first phase in

the implementation

of the Quality

Function

Deployment

process involve

putting together a

"House of Quality"

such as the one

shown side.

“House Of Quality” of Guduchi Satva.

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Procedure of Quality Function Deployment

Step 1: Customer Requirements - "Product Planning“.

Step 2: Customer Importance Ratings – “Priority”.

Step 3: Technical Descriptors – “Product Design“.

Step 4: Relationship Matrix.

Step 5: Targets for Technical Descriptors.

Step 6: Correlation Matrix.

Step 7: Absolute Importance.

7 Steps

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Step 1: Customer Requirements - "Product Planning"

The first step in a QFD project is to determine what market segments

will be analyzed during the process and to identify who the customers

are. The team then gathers information from customers on the

requirements they have for the product or service. In order to organize

and evaluate this data, the team uses simple quality tools like Affinity

Diagrams or Tree Diagrams.

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Step 2: Customer Importance Ratings – “Priority”

On a scale from 1 - 10, manufacturer then rate the importance ofeach requirement. This number will be used later in therelationship matrix. “Means what is the focusing point ofprocess development.”

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Step 3: Technical Descriptors – “Product Design"

Technical descriptors may exist that the organization is already using to

determine product specification, however new measurements can be

created to ensure that your product is meeting customer needs. “Actual

meaning of these step is witch types of engineering we apply with

respect to product planning to get desire product.”

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Step 4: Relationship Matrix

The relationship matrix is where the team determines the relationship

between customer needs and the company's ability to meet those

needs. The team asks the question, "what is the strength of the

relationship between the technical descriptors and the customers

needs?" Relationships can either be weak, moderate, or strong and

carry a numeric value of 1, 4 or 9.

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Step 5: Targets for Technical Descriptors

At this stage in the process, the QFD team begins to establish target

values for each technical descriptor. Target represent "how they work"

for the technical descriptors to achieve customers or Products

specifications, and can then act as a base-line to compare against.

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Step 6: Correlation Matrix

This room in the matrix is where the term House of Quality comes frombecause it makes the matrix look like a house with a roof. The correlationmatrix is probably the least used room in the House of Quality; however,this room is a big help to the design pharmacist in the next phase of acomprehensive QFD project. Team members must examine how each ofthe technical descriptors impact each other. The team should documentstrong negative relationships between technical descriptors and work toeliminate physical contradictions.

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Step 7: Absolute ImportanceFinally, the team calculates the absolute importance for each technicaldescriptor. This numerical calculation is the product of the cell valueand the customer importance rating. Numbers are then added up in theirrespective columns to determine the importance for each technicaldescriptor. Now we know which technical aspects of our productmatters the most to our customer!

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Conclusion:

QFD is a systematic means of ensuring that process requirements are

accurately translated into relevant technical descriptors throughout each

stage of product development. Therefore, meeting or exceeding

production demands means more than just maintaining or improving

product performance. It means designing and manufacturing products

that delight customers and fulfill their unarticulated desires.

Maintain the production of Guduchi Stava through Quality Function

Deployment is shown significant results like improve quality of Satva,

minimize batch variations and increase the % yield of Satva.

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