scholarly journals Simulating, Off-Chain and On-Chain: Agent-Based Simulations in Cross-Organizational Business Processes

Information ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 34 ◽  
Author(s):  
Timotheus Kampik ◽  
Amro Najjar
Keyword(s):  
Business Process ◽  
Business Processes ◽  
Business Decisions ◽  
Agent Based ◽  
Blockchain Technology ◽  
Agent Based Simulations ◽  
Decision Making Processes ◽  
Process Execution ◽  
Business Process Execution ◽  
Future Outcomes

Information systems execute increasingly complex business processes, often across organizations. Blockchain technology has emerged as a potential facilitator of (semi)-autonomous cross-organizational business process execution; in particular, so-called consortium blockchains can be considered as promising enablers in this context, as they do not require the use of cryptocurrency-based blockchain technology, as long as the trusted (authenticated) members of the network are willing to provide computing resources for consensus-finding. However, increased autonomy in the execution of business processes also requires the delegation of business decisions to machines. To support complex decision-making processes by assessing potential future outcomes, agent-based simulations can be considered a useful tool for the autonomous enterprise. In this paper, we explore the intersection of multi-agent simulations and consortium blockchain technology in the context of enterprise applications by devising architectures and technology stacks for both off-chain and on-chain agent-based simulation in the context of blockchain-based business process execution.

Making the Business Process Execution Language (BPEL) Flexible

2010 ◽  
pp. 1-20
Author(s):  
Daniela Wolff ◽  
Nishant Singh
Keyword(s):  
Business Process ◽  
Process Modeling ◽  
Business Processes ◽  
Semantic Technologies ◽  
Business Process Execution Language ◽  
Limited Degree ◽  
Process Execution ◽  
Business Process Execution ◽  
Knowledge Intensive ◽  
Execution Order

The Business Process Execution Language (BPEL) is a process modeling language which uses standard control constructs to define a workflow. But, today‘s enterprises need to be agile to cope with increasing change, uncertainty and unpredictability. Therefore, automating agile business processes is still a challenge as they are normally knowledge intensive and can be planned to a limited degree. The execution order depends heavily on the case, which has to be performed. So instead of modeling all possible cases and situations which might occur in a knowledge intensive process we introduced an approach which uses semantic technologies and rules. Business rules can be utilized to allow for case-specific adaptation of process steps. A component was developed which allow during run-time rules to automatically detect the state of the case and to determine the necessary process adaptations.

Managing Dynamic Virtual Enterprises Using FIPA Agents

2011 ◽  
pp. 229-255 ◽  
Author(s):  
Vaggelis Ouzounis
Keyword(s):  
Business Process ◽  
Process Management ◽  
Business Processes ◽  
Global Scale ◽  
Autonomous Agent ◽  
Virtual Enterprises ◽  
Process Definition ◽  
Agent Based ◽  
Operational Costs ◽  
Business Process Execution

Virtual enterprises (VEs) enable the deployment of distributed business processes among different partners in order to shorten development and manufacturing cycles, reduce time to market and operational costs, increase customer satisfaction, and operate on global scale and reach. Dynamic virtual enterprises are an emerging category of VE where the different partners are being selected dynamically during business process execution based on market-driven criteria and negotiation. In this chapter, we present an agent-based platform for the management of dynamic VEs. The main contributions of this approach are the distributed, autonomous agent-based business process management, the XML-based business process definition language, the flexible ontologies, and the dynamic negotiation and selection of partners based on virtual marketplaces. The presented platform has been fully developed using emerging agent and Internet standards like FIPA, MASIF, and XML.

A Context-Aware Architecture for Realizing Business Process Adaptation Strategies Using Fuzzy Planning

2022 ◽  
pp. 1-34
Author(s):  
Leila Kord Toudeshki ◽  
Mir Ali Seyyedi ◽  
Afshin Salajegheh
Keyword(s):  
Business Process ◽  
Process Management ◽  
Business Processes ◽  
Contextual Information ◽  
Adaptation Strategies ◽  
Context Aware ◽  
Domain Specific ◽  
Process Execution ◽  
Business Process Execution ◽  
Business Process Modeling Notation

Business competency emerges in flexibility and reliability of services that an enterprise provides. To reach that, executing business processes on a context-aware business process management suite which is equipped with monitoring, modeling and adaptation mechanisms and smart enough to react properly using adaptation strategies at runtime, are a major requisite. In this paper, a context-aware architecture is described to bring adaptation to common business process execution software. The architecture comes with the how-to-apply methodology and is established based on process standards like business process modeling notation (BPMN), business process execution language (BPEL), etc. It follows MAPE-K adaptation cycle in which the knowledge, specifically contextual information and their related semantic rules — as the input of adaptation unit — is modeled in our innovative context ontology, which is also extensible for domain-specific purposes. Furthermore, to support separation of concerns, we took apart event-driven adaptation requirements from process instances; these requirements are triggered based on ontology reasoning. Also, the architecture supports fuzzy-based planning and extensible adaptation realization mechanisms to face new or changing situations adequately. We characterized our work in comparison with related studies based on five key adaptation metrics and also evaluated it using an online learning management system case study.

Sign in / Sign up

Export Citation Format

Share Document