Formalization of the RM-ODP foundations based on the Triune Continuum Paradigm

Naumenko, Andrey; Wegmann, Alain

doi:10.1016/j.csi.2005.10.001

“…Open system architecture for CIM (CIMOSA), a process-based enterprise architecture for controlling and monitoring enterprise operations based on CIM technology, is comprised of an enterprise modeling framework and integrating infrastructure (Kosanke, 1995;Zelm et al, 1995;Bernus, 2001;Chen et al, 2008). (Bernus and Nemes, 1996;Bernus, 2001), reference model of open distributed processing (RM-ODP) (Naumenko and Wegmann, 2007;Wegmann et al, 2007), and Purdue enterprise reference architecture (PERA) (Williams, 1994). The issue of supply chain integration has also been considered in enterprise architecture by some researchers.…”

Section: Background Of Enterprise Architecturementioning

confidence: 99%

Design and Development of an Intelligent Agent-Based Supply Chain Simulation System

Wang¹

2023

Preprint

0

View full text Add to dashboard Cite

An intelligent agent-based supply chain simulation model, in which each enterprise/consumer is represented by an agent, is designed. There are six layers in this supply chain simulation model: raw material providers, component manufacturers, product assemblers, product holders, retailers, and final customers. Each entity in the supply chain represented by an agent has five components: interface, task distribution, business processing activities, knowledge management and decision support, and information storage. A detailed agent structure is designed and various functions of an agent including communication among agents are described. Issues in the supply chain integration, information sharing among supply chain partners, demand forecasting, supply chain risk management, and automated communication and negotiation, could be simulated and studied by using the proposed system. Based on the proposed supply chain simulation model, a generic six-layer prototype mobile phone supply chain simulation system is designed, developed and implemented. The system allows a user to setup and adjust a large number of parameters, including (1) simulation period, loan and saving interest rates; (2) customers' behavior and market demand; (3) each retailer's initial cash, loan, market share, inventories, Order Amount Policy and Order Point Strategy; (4) each product holder's initial cash, loan, market share, inventories, Order Amount Policy, Order Point Strategy and inventory strategy; (5) each assembler's and component agent's initial cash, loan, inventories, Order Amount Policy, Order Point Strategy, production strategy, and production capacities; and (6) each material provider's initial cash, loan, inventory, production strategy, and production capacities. Extensive simulation studies are carried out to examine and compare many supply chain management strategies and agent behaviors. This system can be used to test which strategy is most suitable in certain environments, The generic supply chain simulation system developed can be used in a number of ways, including: as an analysis tool for entity in a supply chain from the entity's perspective; as a tool for studying supply chain coordination and integration from the perspective of an entire supply chain, or portion of it; as a tool to design supply chains by answering "what-if" questions.

show abstract

“…Open system architecture for CIM (CIMOSA), a process-based enterprise architecture for controlling and monitoring enterprise operations based on CIM technology, is comprised of an enterprise modeling framework and integrating infrastructure (Kosanke, 1995;Zelm et al, 1995;Bernus, 2001;Chen et al, 2008). (Bernus and Nemes, 1996;Bernus, 2001), reference model of open distributed processing (RM-ODP) (Naumenko and Wegmann, 2007;Wegmann et al, 2007), and Purdue enterprise reference architecture (PERA) (Williams, 1994). The issue of supply chain integration has also been considered in enterprise architecture by some researchers.…”

Section: Background Of Enterprise Architecturementioning

confidence: 99%

Design and Development of an Intelligent Agent-Based Supply Chain Simulation System

Wang¹

2023

Preprint

0

View full text Add to dashboard Cite

An intelligent agent-based supply chain simulation model, in which each enterprise/consumer is represented by an agent, is designed. There are six layers in this supply chain simulation model: raw material providers, component manufacturers, product assemblers, product holders, retailers, and final customers. Each entity in the supply chain represented by an agent has five components: interface, task distribution, business processing activities, knowledge management and decision support, and information storage. A detailed agent structure is designed and various functions of an agent including communication among agents are described. Issues in the supply chain integration, information sharing among supply chain partners, demand forecasting, supply chain risk management, and automated communication and negotiation, could be simulated and studied by using the proposed system. Based on the proposed supply chain simulation model, a generic six-layer prototype mobile phone supply chain simulation system is designed, developed and implemented. The system allows a user to setup and adjust a large number of parameters, including (1) simulation period, loan and saving interest rates; (2) customers' behavior and market demand; (3) each retailer's initial cash, loan, market share, inventories, Order Amount Policy and Order Point Strategy; (4) each product holder's initial cash, loan, market share, inventories, Order Amount Policy, Order Point Strategy and inventory strategy; (5) each assembler's and component agent's initial cash, loan, inventories, Order Amount Policy, Order Point Strategy, production strategy, and production capacities; and (6) each material provider's initial cash, loan, inventory, production strategy, and production capacities. Extensive simulation studies are carried out to examine and compare many supply chain management strategies and agent behaviors. This system can be used to test which strategy is most suitable in certain environments, The generic supply chain simulation system developed can be used in a number of ways, including: as an analysis tool for entity in a supply chain from the entity's perspective; as a tool for studying supply chain coordination and integration from the perspective of an entire supply chain, or portion of it; as a tool to design supply chains by answering "what-if" questions.

show abstract

“…In SEAM, our goal is to have an ontology as simple as possible, so we stay close to RM-ODP Part 2 (which is much simpler than the UML meta-model). A comparison between the UML meta-model and SEAM ontology can be found in (Naumenko and Wegmann 2002).…”

Section: Odp-related Approachesmentioning

confidence: 99%

Enterprise modeling using the foundation concepts of the RM-ODP ISO/ITU standard

Wegmann

¹

,

Lê

²

,

Regev

³

et al. 2007

ISeB

Self Cite

View full text Add to dashboard Cite

Enterprise architecture (EA) projects require analyzing and designing across the whole enterprise and its environment. Enterprise architects, therefore, frequently develop enterprise models that span from the markets in which the organization operates down to the implementation of the IT systems that support its operations. In this paper, we present SEAM for EA: a method for defining an enterprise model in which all the systems are systematically represented with the same modeling ontology. We base our modeling ontology on the foundation modeling concepts defined in Part 2 of ISO/ITU Standard ''Reference Model of Open Distributed Processing'' (RM-ODP). This work has two contributions to enterprise architecture: the SEAM for EA method itself and the use of Part 2 of the RM-ODP standard as a modeling ontology.

show abstract

Formalization of the RM-ODP foundations based on the Triune Continuum Paradigm

Cited by 7 publications

References 28 publications

Design and Development of an Intelligent Agent-Based Supply Chain Simulation System

Design and Development of an Intelligent Agent-Based Supply Chain Simulation System

Design and Development of an Intelligent Agent-Based Supply Chain Simulation System

Enterprise modeling using the foundation concepts of the RM-ODP ISO/ITU standard

Contact Info

Product

Resources

About