To Track

“First find. Then look for.”
Jean Cocteau

What Jean Cocteau meant is obvious to any chief of department of a textile industry.
Or at least, it is self-evident that starting from an industrial point of view there is the need to have a mapping and a precise traceability of the various production items, as well as the machinery and personnel. Once you know this, you can try to optimize resources
With the increasing complexity of the global market, many companies realized they must restructure their modus operandi, with a tendency to work just in time and to small production batches which has necessarily upset the working habits, actually pushing towards a more solid and detailed organization.
In particular, the digitization of information plays an irreplaceable role to handle and manage a large amount of data at multiple levels. And at the base of the real-time management of this information there are mapping and traceability technologies, which allow you to save valuable time, especially if accompanied by intelligent systems aiming to the management of such data, which should be made ​​available quickly and accurately
The various RFID technologies can support with great effectiveness and efficiency in achieving these goals. If then combined with intelligent management systems here is that the company can rest on firmer ground, and trigger a virtuous cycle of optimization of resources and time, with obvious repercussions on competitiveness.
Depending on the specific needs of a company it is now possible to provide tracking systems that follow the progress in production of an item uniquely, along the entire value chain.
Moreover, these technologies perfectly befit to the changed paradigm of current production, which often involves steps of processing by third parties resulting in a loss of “control” on the semi-finished products, as well as instead they help to achieve a certification along a production chain with certain characteristics. This last level will become increasingly important over the years with the advent of a more demanding legislation that will require a calculation of the specific carbon footprint of production, likely at single product level.
The more likely scenario about the entire textile / clothing European sector seems to be a progressive loss of competitiveness on the lower-middle market segment, and further specialization towards the higher one, and to those processes with high added value. To do this, the reference model is the Total Quality Management (TQM), which in the textile / clothing cannot ignore the traceability of products, combined with intelligent data management systems, in order to ensure:

  • High quality
  • High speed in the research and development of new products
  • High production flexibility in producing small batches in a short time
  • Reduced response time
  • Impeccable service

Domina’s work on these issues dates back to the creation of the company. The year was 1998. The most forward-thinking companies were already pushing towards finding solutions on these issues, and Domina followed a long process of research and development to facilitate a convincing answer.
The double track consisting of software and industry has enabled us to develop ad-hoc solutions for the textile / clothing sector, while accumulating know-how that remains patrimony of Domina, and that can be transferred to other sectors.

Investigations on RF-ID solutions in the industry of Textile / Clothing (Closed)
The research project aims to study, design, build and test a pilot system/implantation that can automate the processes of identification, management and control of production batches, particularly yarn, pieces of fabric and finished products (coat and knitting), even of small quantities.
The system is based on the RF-ID (Radio Frequency Identification) technology, inserting in batches to be maintained an appropriate and functional passive TAG, ensuring a high level of efficiency and innovation in the information and management structure of the corporate processes, integrating within it.

Detail of projects:


The project exploits the RFID technology with the aim of making companies more agile, self-sustainable and responsive to changes in the supply chain. Given that commercial partners have different skills according to their business strategies and sources of information, the competitiveness of enterprises is reduced when the decision-making process is rambling because of the incomplete understanding of the effects of decisions about the supply chain as a whole. The key is the collaborative exploitation of the data of commercial partners in the design and implementation of customer requirements in the supply chain, in order to achieve the vision of “business as a network.”


LEAPFROG (Leadership for European Apparel Production From Research along Original Guidelines) has the main aim of coordinating multidisciplinary knowledge and innovative research activities in the European textile industry.
The project, led by Euratex (European Apparel and Textile Organization), faces issues concerning the areas NMP (Nanotechnologies, Materials and Production) and IST (Information Society and Technology) addressing the research to the development and the implementing of new ways of preparing fabrics for the production of new automated manufacturing systems, to the creation of virtual prototypes of clothes and then to integrate these new developments in the textile production chain.


The project aims to define and develop a highly efficient logistics system, integrated with pre-existing company management systems, able to optimize the process of taking and handling goods and warehouse management. Particularly, the system will help to:

  • Determine the precise location and movement of goods within the warehouse
  • Graphically and three-dimensionally represent the monitored area and the location of the goods
  • Allow the continuous and automatic update of the monitored warehouse and its product inventory in connection with the company management system
  • Obtain and manage more easily the information and data relating to each product and batch for sale.