An Open S-BPM Runtime Environment Based on Abstract State Machines

Lerchner, Harald; Stary, Christian

doi:10.1109/cbi.2014.24

Cited by 9 publications

(2 citation statements)

References 13 publications

(26 reference statements)

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“…A different formal approach to describe behaviours is the Abstract State Machine (ASM) (Fleischmann et al, 2012). ASM has been used to implement an interpreter for processes modelled in subject-oriented business process modelling language (Lerchner & Stary, 2014).…”

Section: Logic-based Methodsmentioning

confidence: 99%

AI-enabled Enterprise Information Systems for Manufacturing

Zdravković

Panetto

Weichhart

2021

Enterprise Information Systems

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Research work presented in this paper considers the contemporary Enterprise Information Systems (EIS) functional architecture and carries out the literature review of AI applications integrated in Customer Relationship Management, Supply Chain Management, Inventory and logistics, Production Planning and Scheduling, Finance and accounting, Product Lifecycle Management and Human Resources, with special attention to the manufacturing enterprises. As a review outcome, the enhanced capabilities are identified in each of those processes and proposed as AI services. AI-enablement is related to the capabilities of the enterprise to implement improved decision making or automation by using (a) Machine Learning (ML) models or (b) logicbased systems. It is a process of the enterprise transformation leading to the convergence of the 4 major disruptive technologies, namely Industrial Internet of Things (or Cyber-Physical Systems), Agent-based Distributed Systems, Cloud Computing and Artificial Intelligence (non-symbolic AI like Machine Learning, Neural Networks; symbolic AI like Reasoning and Logic/Model-based AI).

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Section: Logic-based Methodsmentioning

confidence: 99%

AI-enabled Enterprise Information Systems for Manufacturing

Zdravković

Panetto

Weichhart

2021

Enterprise Information Systems

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“…Bernardo: OK, I will draw a sketch ( Fig. 13.1) (Lerchner and Stary 2014) to show the components and their relations.…”

Section: A Model Is a Representation Of What Is Currently Happening Omentioning

confidence: 99%

An Abstract State Machine Interpreter for S-BPM

Lerchner

2015

S-BPM in the Wild

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Each business process management (BPM) approach requires a precise semantic specification scheme. Semantically, ambiguities can cause a lot of problems during the lifespan of a business process. As Abstract State Machines (ASMs) are grounded to subject orientation, we have explored their capabilities with respect to representing and executing Subject-oriented BPM (S-BPM) models. Based on the ASM method we implemented an interpreter which allows not only the proof of the S-BPM concept in terms of semantical preciseness, but also the automated execution of S-BPM models in terms of a workflow engine. This workflow engine serves as a baseline and reference implementation for further language and processing developments, such as simulation tools, as it has been developed within the Open-S-BPM initiative. This contribution focuses more on the use of the technique than on formal definitions. Setting the StageIndustry 4.0 is currently one of the most widely used keywords in industry. There are many events and conferences regarding this topic. Alessandro frequently attends such conferences. He is responsible as head of production in a typical SME company in the automotive industry. Concerning new ideas he is open-minded and always searching for new technologies and approaches to improve processes in the company. At one particular conference, Alessandro attended a presentation about

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