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Modern manufacturing systems are increasingly characterized by using of complex machines, tools and electronics components. Especially a proportion of electronics and software has increased steadily in recent years. Challenge of this progression is the complexity of manufacturing systems during designing, integrating and operating. Based on a product lifecycle -PL-this article introduces an integrated method for system design, which supports engineering and management of safety/security for digital manufacturing systems. This method was practically established during a planning and implementation of digital manufacturing system at the university of applied sciences "Technikum Wien". The outcomes of this methodintegrated safety and security (ISS) -ought to help the factory designers, integrators and users for (re)designing, operating and maintaining of machines, robots as far work-cells. The future work is to build simple software tool to support small and medium-sized enterprises (SMEs) for decision making during evaluation of risk assessment and management.

Intelligence is an essential feature of future development and production systems, and intelligent production is a major component of future business. To meet market demands in present and future global industrial world, manufacturing enterprises of any kind and any size must be flexible and agile enough to respond quickly to product demand changes also according technological developments especially in the field of precision engineering at micro/nanoand pico scale production. With support of AI and modern IT it is possible to realise modern cost-effective customer-driven design and manufacturing taking into account the importance and basic role of modern Integrated Management Systems - IMS and intelligent advanced metrology.This new concept can be developed on the basis of intelligent production technologies and integrated systems as well as extensive use of the IT, AI, simulation, quality autonomation, robotics, advanced metrology and advanced engineering data exchange techniques. Moreover by utilizing advanced information analytics, networked intelligent machines and instruments will be able to perform more efficiently, collaboratively and sustainably, that makes possible an agile and optimal industrial production in any kind of industry and especially in up-to-date SMEs towards Industry 4.0.

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