Semantic degrees for Industrie 4.0 engineering: deciding on the degree of semantic formalization to select appropriate technologies
Abstract
Under the context of Industrie 4.0 (I4.0), future production systems provide balanced operations between manufacturing flexibility and efficiency, realized in an autonomous, horizontal, and decentralized item-level production control framework. Structured interoperability via precise formulations on an appropriate degree is crucial to achieve software engineering efficiency in the system life cycle. However, selecting the degree of formalization can be challenging, as it crucially depends on the desired common understanding (semantic degree) between multiple parties. In this paper, we categorize different semantic degrees and map a set of technologies in industrial automation to their associated degrees. Furthermore, we created guidelines to assist engineers selecting appropriate semantic degrees in their design. We applied these guidelines on publicly available scenarios to examine the validity of the approach, and identified semantic elements over internally developed use cases concerning plug-and-produce.
BibTeX
@inproceedings{Cheng-al:FSE15,
author = {Chih{-}Hong Cheng and
Tuncay Guelfirat and
Christian Messinger and
Johannes O. Schmitt and
Matthias Schnelte and
Peter Weber},
title = {Semantic degrees for Industrie 4.0 engineering: deciding on the degree of semantic formalization to select appropriate technologies},
booktitle = {{ESEC/SIGSOFT} {FSE}},
pages = {1010--1013},
publisher = {{ACM}},
year = {2015},
}