Abstract
Abstract Technological advances and increasing customer need for highly customized products have triggered a fourth industrial revolution. A digital revolution in the manufacturing industry is enforced by introducing smart devices and knowledge bases to form intelligent manufacturing information systems. One of the goals of the digital revolution is to allow flexibility of smart factories by automating shop floor changes based on the changes in input production processes and ordered products. In order to make this possible, a formal language to describe production processes is needed, together with a code generator for its models and an engine to execute the code on smart devices. Existing process modeling languages are not usually tailored to model production processes, especially if models are needed for automatic code generation. In this paper we propose a research on Industry 4.0 manufacturing using a Domain-Specific Modeling Language (DSML) within a Model-Driven Software Development (MDSD) approach to model production processes. The models would be used to generate instructions to smart devices and human workers, and gather a feedback from them during the process execution. A pilot comparative analysis of three modeling languages that are commonly used for process modeling is given with the goal of identifying supported modeling concepts, good practices and usage patterns.
Highlights
Technological advances and increasing customer Manufacturing has been the driving factor behind the deneed for highly customized products have triggered a fourth velopment of the human race since the humans discovered industrial revolution
The smart factory production these challenges we have proposed a usage of a Domain-Specific Modeling Language (DSML) to system needs to have smart resources of different types, like model production processes
Within the context of a smart factory as described in the previous section, we propose the creation of a DSML aimed at production process modeling that will be used within an Model-Driven Software Development (MDSD) approach to generate and automatically execute code on smart resources
Summary
Abstract: Technological advances and increasing customer Manufacturing has been the driving factor behind the deneed for highly customized products have triggered a fourth velopment of the human race since the humans discovered industrial revolution. Resources and smart materials, there are smart stor- Human workers: (i) supervise robots’ work, (ii) collabages that can be equipped with different sensors in order to orate with robots during production, and (iii) work on the track their state or inventory This is important information tasks that robots are not capable of doing. Human workers may and mass, (iii) production processes and their steps, skills be considered smart resources They are integrated within needed for the execution of process steps and different the smart factory and they work on tasks in which robots constraints that need to be included during the process are not applicable or they work as problem solvers. Smart resources through sensors, actuators and mobile devices could be established with industrial protocol Open
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