• SOCIETY & ”INDUSTRY 4.0”

    Integrated CRM system for Bulgarian agricultural sector

    Industry 4.0, Vol. 7 (2022), Issue 2, pg(s) 76-78

    Agriculture is a sector in Bulgaria that contributes significantly the GDP. In the past 20 years steady trends for increasing the arable land, while the number of agricultural holdings decreases. The enlargement of the size of the agricultural holdings is strongly associated with the need for implementation of the advances of information and communication technologies, Industry 4.0 and artificial intelligence. The present paper presents the development of an integrated Customer Relationship Management (CRM) system for agricultural applications. The developed CRM system implements the following functions: customer data management, management of contracts for clients, management of agricultural land, management of processing costs, production revenue management. For the development of the presented integrated CRM system, the needs of the agricultural producers and the work with their clients have been studied in detail.

  • TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    Combined approach for development of cyber-physical systems based on IEC 61512 and IEC 61499 standards

    Industry 4.0, Vol. 5 (2020), Issue 5, pg(s) 198-201

    The transition to CPS is one of the great challenges of the “Industry 4.0”. The core of cyber-physical systems is an effective control, associated with achievement of a high degree of adaptability, autonomy, functionality, reliability, security and usability. The paper presents a combined approach for development of cyber-physical systems based on the IEC-61512 and IEC-61499 standards represented as partial model of asset administration shell, according the reference architectural model RAMI4.0. The models allow the description of continuous production of finite quantities of materials (batches) from two distinct views – physical and control (cyber). The approach is enhanced in respect to the correctness and reliability achieved, by replacing the semi-formal models with using of Signal Interpreted Petri Nets supporting the verification processes