Claims:We claim:
1) The system and method for testing of manufacturing process by using big data technology is comprising of the contents such as;
a. Backend server –testing of manufacturing process application is installed;
b. Any open-source framework like Hadoop for data analysis which stored data on big data;
c. An application for testing of manufacturing process;
d. Sensors- senses whether there is any manufacturing defect or not; and
e. Wi-Fi modem – for connectivity between sensors and backend server.
2) The system claimed in claim 1 wherein, track production quality.
3) The system claimed in claim 1 wherein, machine units can be tracked.
, Description:FIELD OF INVENTION
The present invention discloses the system and method for testing of manufacturing processes by using big data technology. The invention is related to manufacturing sector, which are now well developed due to upcoming technologies. Big data is one of the best technologies which can be effectively used for manufacturing.
BACKGROUND OF INVENTION
Product testing, also called consumer testing or comparative testing, is a process of measuring the properties or performance of products. Product testing might be accomplished by a manufacturer, an independent laboratory, a government agency, etc. Often an existing formal test method is used as a basis for testing.
To ensure quality and reliability of a product, required testing should be set in place. Through product testing, manufacturers are able to set technical standards for their products in order to produce high-quality materials that are safe for customer use.
When any new process is introduced to manufacturing sector, its testing is must ot ensure that, this process is beneficial and reduced load of manpower.
Currently, the testing of new process is done manually and with error and check method production team can learn the use and features of new process used in manufacturing. Right not there is no way to know and test the new process of manufacturing.
The present invention gives the solution to above problem.
The present invention discloses the system and method for testing of manufacturing process by using big data technology. The present invention helps to find predictive analytics of testing method before use of it. Which not only save time but also save cost related to adjusting the production processes. Here sensor data analysis can detect manufacturing defects early, which reduces the time and cost related to adjusting the production processes.

Big Data Technology can be defined as a Software-Utility that is designed to Analyse, Process and Extract the information from an extremely complex and large data sets which the Traditional Data Processing Software could never deal with.
OBJECTS OF THE INVENTION
The main object of the invention is that, the system and method for testing of manufacturing process by using big data technology.
Another object of the invention is that, sensors are installed on production unit machine to check its whether produced product is defective or not.
Another object of the invention is that, predictive analysis is done for testing.
Other object of the invention is that, it saves time and cost of production team.
SUMMARY OF THE INVENTION
The present invention discloses the system and method for testing of manufacturing process by using big data technology. An application of testing of new process of manufacturing is installed at backend server. Number of sensors are installed at every production unit to find any defect in production item. Which saves time and cost of manufacturing company. Sensors are attached with backend server with the help of wi-fi modem. Sensors send alert if there is any production defect in any item of manufacturing.
BRIEF DESCRIPTION OF DRAWINGS
Fig 1 shows flowchart of the system and method for this invention.
DETAILED DESCRIPTION OF THE INVENTION
The present invention discloses the system and method for testing of manufacturing process by using big data technology.
Big data is the vast volume of structured or unstructured data that is readily available at our collective fingertips. These large data sets are analysed to reveal previously unknown patterns and provide insights into businesses, human behaviour, and more. Big data analysis is used for everything from financial services, to gauging someone’s productivity, to even monitoring the weather.
The key feature of big data is to analyse, understand and interpret it in order to give user a full a picture as possible about the testing of new process.
The system and method for testing of manufacturing process by using big data technology is comprising of the contents such as;
Backend server – Testing of manufacturing process, application is installed
Any open-source framework like Hadoop for data analysis which stored data on big data.
An application for testing of manufacturing process
Sensors – sense whether there is any manufacturing defect to production item
Wi-fi modem – for connectivity between sensors and backend server
Big data consists of five stages such as-
Data sources- web and social media, machines, Sensing, IoT
Content format – structured, semi-structured, unstructured data
Data stores – document oriented, column oriented, graph database, key value
Data Staging – cleaning, transform and normalization
Data processing – Batch and real time
The system and method of testing of manufacturing process by using big data technology is comprising of the following steps such as;
Step 1) An application for testing of manufacturing process is installed on backend server
Step 2) Data for the testing criteria is provided by big data
Step 3) Sensors are attached to production unit machine to check whether there is any defect in production item
Step 4) User/testing team member start the application
Step 5) User/testing team member get information about the items which has manufacturing defect
For an organization to operate smoothly, testing should be done accurately. As testing is carried out to detect any manufacturing defect or functional defect of item. With the help of this invention, sensors are installed at every production machine unit. Whenever any production item is created, it checks whether it is proper or it has any manufacture defect in it. And stored this information on backend server. When testing team member start the application, he/she can see the list of proper and defect items. So, no need of testing required here for manufacturing defect. It saves time and cost of manufacturing company.
Use of big data is looking promising in the manufacturing field and it can become a standard in the future.
Big data technology for invention application have some advantages for the invented system, such as;
Saves time – As at the time of manufacturing sensors detect manufacturing defect in production item so, at the time of real testing, testing team member got the list of defected items. It saves time for testing.
Save money – As it checks defect at the time of manufacturing, testing time is minimized, which saves money and labour work.
Accurate Data- As big data technology is used to check manufacturing defect; it provides accurate data. Accuracy percentage is maximized.
It will be improved business decisions.
Its improved market targeting and strategizing.
Minimizes losses and increases revenues.