Physical Internet – a novel application area for Industry 4.0

The Physical Internet (PI or π) is one of the most decisive ideas for future logistics systems. The idea behind it is to implement logistic systems which apply the principles of Internet information flow. Simultaneously technological innovations of Industry 4.0 have also appeared. Our current research deals with the applicability of the tools of Industry 4.0 technology in the PI system. Following the literature review we analyse the individual technological tools that could improve the functioning of PI components. Subsequently we will detail the usability of a specific Industry 4.0 tool and finally determine the future research steps

COMPARISON OF THREE DIFFERENT METHODS IN THE PREDICTION OF THE MATERIAL FLOW IN A MATERIAL HANDLING SYSTEM

The damaged barcodes cause problems particularly in production and warehousing, because in many cases their identification with conventional barcode readers is not possible. Here we deal with only a special part of damaged barcode identification. In this paper a prediction system is presented, that analyses the regularities of the material flow. The application of such a system can be an effective help with the reconstruction of the incomplete visual information

SOFTWARE STRUCTURE FOR A CAMERA BASED MOBILE ROBOT

Mobil robots are commonly used in various application fields. Military projects, space research, deep-sea research, and various robots at work and at home belong to the most significant applications. Material handling and warehousing are also possible environment. In these applications mobile robots are used as autonomous transporting vehicles. However, cooperative systems are rare. This paper presents a proposed software structure for a cooperatively working, camera based mobile robot for order-picking activities in warehousing. Mobile robot applications require complex software background. The implementation of the free navigation, obstacle avoidance and motion control modules is also presented

Simulation support in construction uncertainty management: A production modelling approach

The execution of construction projects such as a highway construction or the elevation of a new bridge is a complex, highly equipment-intensive process and are subject to many different uncertainties. This is very similar to the manufacturing execution level in production systems where predefined productions plans and schedules cannot be completely implemented due to unexpected internal and external changes and disturbances. Following this analogy, the paper proposes the application of a discrete-event simulation based method which was already applied in the decision-support for manufacturing control to develop the decision-support in the execution of a construction project where the effects of the deviation from the short-term schedule can be easily and quickly analyzed