Digital transformation has affected all areas of business, including manufacturing. According to Jabil, 97% of industry leaders say digital evolution will significantly impact the future of manufacturing. According to Gartner, 36% of manufacturing enterprises that use IT for business development are already earning above-average income in contrast to their less progressive rivals.
The Internet of Things, AI robots, advanced analytics … – there is a whole world of innovative technologies that can take you to the next level. But only if you entrust their implementation to professionals like the Teiva Systems specialists. The company develops and implements enterprise production software, collaborating with world IT leaders as ServiceNow, SAP, and Odoo.
The Industrial Internet of Things (IIoT): a combination of computer systems and production devices connected and equipped with special sensors and software.
The goal is to simplify the collection and exchange of data, as well as to provide remote control and management of production processes and supply chains.
The result is an increase in productivity, decreased material and energy costs, improved product quality, and optimization of working conditions for employees.
AI and ML: the introduction of intelligent software: from smart conveyor systems to robotic manipulators and OS with AI elements that can independently learn and solve production problems.
The goal is to automate all production components: the organization of a “smart” workshop and custom farms, the robotization of warehouses and distribution centers, and the creation of a flexible supply chain.
The result is quick identification of inconsistencies in technological processes and deviations from product quality standards, an increase in forecasting demand accuracy, a decrease in manual labor costs, and an increase in the safety of working conditions.
Predictive analytics: implementation of production data forecasting tools.
The goal is to collect information about the parameters that affect the equipment performance to prevent failures caused, for example, by an increase in temperature in the workshop as a result of weather changes.
The result is a decrease in the number of breakdowns, timely preventive maintenance, a reduction in the costs for the operation and repair of equipment, and the making wise decisions to optimize production.
Planning: developing a planning system that provides real-time analytics.
The goal is to draw up and change production plans in accordance with current tasks and problems: expanding the product range, launching new products, increasing capacity, etc.
The result is providing flexibility and scalability of production processes, reducing the cost of adaptation of enterprise to internal or external changes.
Modeling: implementation of process design systems based on consistent data models.
The goal is to determine key indicators of production efficiency according to established standards.
The result is a reduction in the time spent on assessing alternative scenarios, bringing production processes in line with industry and internal standards, and making rational management decisions.
QR codes: development of solutions for the automatic affixing of barcodes to manufactured products.
The goal is to simplify the accounting of goods regarding batch numbers, serial numbers, or product registration.
The result is the acceleration of accounting operations, optimization of stocks, and prevention of their shortage in the warehouse.
If you want to take full advantage of digital manufacturing power, you need to optimize and modernize all processes in your enterprise. It is essential to create relationships between key departments (from the shop floor to IT, planning, technical control, sales, procurement, and logistics) to get the ability to track the product life cycle and solve problems before they arise. Innovative developments from ServiceNow, SAP, and Odoo implemented by
Teiva Systems will help you with this.
Innovative developments have helped many international companies to automate their production processes. For example, ServiceNow solutions are actively used by Jabil, Siemens, and Owens-Illinois, and Odoo software is used by Alta Motors, VCL Sound Experience, and One Good Chair.
increase in the operational efficiency
acceleration in the process of project execution
improvement in compliance with schedule
automation of production processes
The introduction of IIoT, robotic systems, predictive models, advanced analytics systems, and platforms for planning, modeling, and management into production will not only strengthen the competitive position in the local market but also bring the business to the international level.