Textile Automation

  There is no doubt that the manner in which textile mills function has changed considerably in the recent years. Modernization has touched every industry in the world. Textile manufacturing plants are no exception! Machinery and software has come to be used in a large quantity. Techniques for spinning, weaving, dyeing and printing, and garment manufacture have evolved immensely in the recent years.

  A number of machines are available for the textile industry. In fact, there are machines for almost every stage of textile manufacture. Some companies make use of all the machineries and make their units fully automated. On the other side, there are some companies that make use of only a limited amount of machineries. They are semi automated textile manufacturing units.

Image Processing

Product testing is an important quality assurance task for some textile products. Although dedicated machines exist for testing particular aspects of textile (e.g. yarn or joins) there is a need for testing of the entire final product.Using Image processing we can check the product damage and quantity.

Quality analysis

Textile testing is checking the quality and suitability of raw material and selection of material. It is an important part for textile production, distribution, and consumption. Though it is an expensive business but essential too. There are some reasons for textile testing; such as, checking raw materials, monitoring production, assessing the Final Product, investigation of faulty material, product development and research.
• Objects of Quality Control: To produce required quality product.
• To fulfill the customer’s demand.
• To reduce the production cost.
• To reduce wastage.
• To earn maximum profit at minimum cost.

Performance Management

The task of a manager of an apparel manufacturing firm, in the new millennium, has become quite challenging. The growing international competition has put a lot of pressure on the apparel manufacturers to produce quality products at competitive prices and deliver them to the customer just-in-time. In this scenario, managers of apparel firms need to lead the factories to the path of continuous improvement. This improvement also needs to be measured continually, so as to understand how much improvement has taken place. Productivity data could be a useful indicator of the improvement rate and the level of performance of the factory.

In simple words, productivity is concerned with the efficient utilization of resources (inputs) in producing goods (output). Quite often productivity is expressed in terms of efficiency. For example if the standard expected output per operator is 25 pieces of jeans per shift and the operator productivity is of 20 jeans per day, the productivity in terms of efficiency becomes 20/25 = 80%. This expression may also be called ‘productive efficiency’.

‘Partial productivity’ is the ratio of output to one class of input. For example, labour productivity (the ratio of output to labour input) is a partial measure. Similarly, material productivity (the ratio of output to material input) and machine productivity (the ratio of output to machine input) are examples of partial productivity.

Project Info

  • Category:Textile Automation
  • Technology Used:IoT
  • Project-1:Image Processing
  • Project-2:Quality Analysis
  • Project-3:Performance Management

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