Optimization of
logistic processes
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It is important to know that nowadays, consumers are demanding more and more personalized services that can adapt to their schedules and lifestyles. If we evaluate last year´s world situation, where a pandemic unleashed new ways to reinvent ourselves, we can clearly see how consumer behavior is constantly changing, requiring real time data to keep up with the requirements. A few years ago, Logistic Intelligence was implemented to help companies with their clients’ demands.
This concept merges logistics with the use of intelligent devices, and tries to improve and optimize all the supply chain through the application of technology and the digitization of its processes. This is the reason why it connects with the internet of things (IoT).
As Logistics Intelligence moves forward, it allows managing all processes more efficiently not only reducing costs due to optimization, but also controlling stock levels and inventory movements in real time.
The IoT describes the network of things that are embedded not only with sensors but also with software and other technologies, for the purpose of exchanging data and connecting with other devices over the internet, obtaining information from various sources in real time.
As Logistics Intelligence moves forward, it allows managing all processes more efficiently not only reducing costs due to optimization, but also controlling stock levels and inventory movements in real time.
Beyond this, it seeks to streamline all billing processes and consequently those of collection, have a better control of carriers and dispatches and be able to carry out a complete follow-up of shipments, controlling all processes of the supply chain until the product reaches the customer.
This system has several advantages over systems that use barcode asset tracking software. What´s most remarkable is that the data on the RFID tags can be read without line of sight, while barcodes must be aligned with an optical scanner. This type of reading belongs to a group of technologies called Automatic Identification and Data Capture (AIDC). AIDC methods automatically identify objects, collect data, and enter it straight into computer systems with little or no human intervention at all. RFID methods use radio waves to accomplish this. RFID systems consist of 3 elements:
RFID tags contain an integrated circuit and an antenna which is used to transmit data to the RFID reader (also called an interrogator). The reader then converts the radio waves into usable data. The information collected from the tags is then transferred through an interface to a host computer system, where the data can be stored in a database and analyzed at a later time or directly enter into a WMS as an inventory movement notification input.
This is why RFID optimizes inventory management, asset and personnel tracking, allows control of access to restricted areas, prevents counterfeiting and therefore increases the traceability of companies.
Even though RFID technology has been in use since World War II, the demand for RFID equipment is increasing very fast, in part due to many companies requiring their suppliers that their products have to be RFID traceable. Beyond the requirements, RFID codes allow handling much more data about an item than a barcode does. In addition, these are not susceptible to the typical damage of labels and the code reading is remote.
The Advantages of Using Big Data in the Logistic Sector: Big Data, refers to large-scale data that, due to its volume, growth speed and complexity, makes it difficult to capture or process.
However, each time, more organizations seek to work with this type of information, since applying it, mobility and markets in general could be totally transform. There are several applications of these technologies, and it goes from the implementation of algorithms that providemore efficient transportation routes, the use of "cloud manufacturing" that allows global sharing of resources, to redefining the way of distribution or order preparation.
The application of Big Data in the sector proposes sustainable vehicles, proactive infrastructures, intelligent logistics ports and hubs combined with efficient air transport that does not interfere with multimodal urban mobility. This dynamic supply chains adjust not only to the needs of the industry but also to society.
Analysis always helps organizations optimize their processes and use their data in order to identify new opportunities, and this is not the exception. Big Data not only provides a reference point to improve the organization internally, but also allows reducing costs and increasing service level.
Working with Big Data not only helps in decision making but also in having a clear overview which makes it easier to define key aspects of the organization, as well as taking executive and operational decisions that generate a great impact on the profitability of the processes.
For example, it not only helps to find and plan routes but also to minimize wasted time due to traffic, it allows you to have absolute control of all the routes and their timing. Being able to analyze driving habits allows you to control excessive speeds, driving times, among other things that allow you to take all the necessary measures and consequently save on fuel consumption and maintenance.
Beyond this, all companies try to control and develop strategies aimed at reducing their environmental footprint. These measures will be much more effective if they are developed from the organization real time data. Sustainability is a matter of concern and requires that companies care more about it.
Lastly, the marketing area uses Big Data to automate personalization of products; attempts to communicate effectively and as a result, captures new sales opportunities.
