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K. Meixner:
"Integrating Variability Modeling of Products, Processes and Resources in Cyber-Physical Production Systems Engineering";
Talk: Online Conference 24th ACM International Systems and Software Product Line Conference (SPLC 2020), Montreal, Canada; 2020-10-19 - 2020-10-23; in: "Proceedings of the 24th ACM International Systems and Software Product Line Conference - Volume B, Doctoral Symposium", ACM, (2020), ISBN: 978-1-4503-7570-2; 96 - 103.

The Industry 4.0 initiative envisions the flexible and optimized
production of customized products on Cyber-Physical Production
Systems (CPPSs) that consist of subsystems coordinated to conduct
complex production processes. Hence, accurate CPPS modeling
requires integrating the modeling of variability for Product-ProcessResource (PPR) aspects. Yet, current variability modeling approaches
treat structural and behavioral variability separately, leading to inaccurate CPPS production models that impede CPPS engineering
and optimization. In this paper, propose a PhD project for integrated variability modeling of PPR aspects to improve the accuracy
of production models with variability for CPPS engineers and production optimizers. The research project follows the design science
approach aiming for the iterative design and evaluation of (a) a
framework to categorize currently incomplete and scattered models
and methods for PPR variability modeling as a foundation for an
integrated model; and (b) a modeling approach for more accurate
integrated PPR variability modeling. The planned research will
provide the Software Product Line (SPL) and CPPS engineering research communities with (a) novel models, methods, and insights
on integrated PPR variability modeling, (b) open data from CPPS
engineering use cases for common modeling, and (c) empirical data
from field studies for shared analysis and evaluation.

Variability Modelling, Product-Process-Resource, Cyber-Physical Production System

http://dx.doi.org/10.1145/3382026.3431247