ProMoS 2016 - International Workshop on Processes and Modeling in Smart Industries (ProMoS 2016)

With the advent of new sensor technologies and data processing capabilities, new potentials for tackling the challenges of today’s business world arise. These potentials might help enterprises to better cope with increased customer demands, lack of resources, environmental changes, political crises, and ever changing social systems. To realize the potentials, concepts for smart processes and systems such as “Cyber-physical Systems”, “Industry 4.0”, “Internet of Things” or the “Sensing Enterprise” have been coined. Using these concepts in the enterprise and supporting them by enterprise computing systems might lead to what we call “Smart Industry”. However, making these concepts a reality requires handling complexity (due to e.g. diversity and amount of distributed sensors, data and stakeholders) and change (due to continuous evolution of processes and systems). In the light of these requirements, models may play a vital role to handle such complexities and master the dynamics of enterprise systems in Smart Industries. Up to now, little is known about the systematic creation and use of models to represent, configure and control (i.e. act as a proxy for) processes and systems in Smart Industries.
The workshop intends to solicit work from researchers working at the intersection of Conceptual Modeling and emerging concepts for enterprise systems in Smart Industries. It hence targets a wide spectrum of contributions and a large audience.
Topics of interest include, but are not limited to:
Architectures for model-based systems and processes in Smart Industries
Models and conceptual studies on using models in Smart Industries
Core enabling technologies and concepts for models to act as proxies for systems and processes
Technologies such as intelligent agents and smart objects in conjunction with models
Design theories and methods for modeling in Smart Industries
Modelling of human aspects such as work organization, distribution of knowledge and collaboration
Modelling how processes in Smart Industries affect the environment and the community
Modelling and analyzing business models that arise from Smart Industries
Case studies demonstrating the practical use of models in Smart Industries
Empirical research on adoption and acceptance models in Smart Industries
Utility, benefit and profitability analyses for modelling in Smart Industries
Integrating complex event processing and big data analytics with conceptual modeling
Model-based dependable computing and communications, security aspects