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The efficient handling of complex production systems and the implementation of more flexible and adaptable production lies at the heart of cyber-physical production systems and its german equivalent Industry 4.0. Such scenarios currently face one main difficulty: the creation, configuration and maintenance of the corresponding automation software is time-consuming and error-prone. Two main solutions exist for this problem: (i) model-based software development and (ii) intelligent automation, i.e. the usage of new knowledge-based solution approaches. This article compares these different solutions by applying them to three phases of the life-cycle: the planning phase, the operation phase and the plant modification phase.
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Niggemann et al. (2014) studied this question.
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