A Service-Oriented Business Process Modeling Methodology and Implementation

Author(s):  
Lin Bai ◽  
Jun Wei
Author(s):  
M. Spadoni ◽  
A. Abdmouleh

The purpose of this chapter is to present our contribution in business process modeling within the CAS (CIMOSA Application Server) project. In this project, a referential, which helps enterprises to model their internal or collaborative activities within an enterprise chain (i.e., extended enterprise) is proposed. The referential is supported by a meta-model, which consists of a process modeling concept and a methodology as a user modeling guide. Enterprise activities modeling is based on a business process approach CIMOSA-based and that we define into an enterprise system. In this manuscript, the implementation of the referential is detailed within an information system by a component approach and a framework, which integrates the modeling methodology. The referential components are developed with .NET Microsoft technology.


Author(s):  
Taejong Yoo

For supply chain optimization, as a key determinant of strategic resources mobility along the value-added chain, simulation is widely used to test the impact on supply chain performance for the strategic level decisions, such as the number of plants, the modes of transport, or the relocation of warehouses. Traditionally, a single centralized model that encompasses multiple participants in the supply chain is built when optimization of the supply chain through simulation is required. However, due to the heterogeneity of supply chain, a centralized simulation model has a limit to reflect the dynamics of each supply chain participant. This research focuses on the conceptual and the technical issues about the supply chain simulation with a parallel and distributed simulation (PADS) concept. In particular, to ensure the decomposition of supply chain simulation model by each supply chain participant, the simulation framework is proposed using Service Oriented Architecture (SOA) in e-collaboration environment. For a clear proof of concept, the virtual supply chain simulation model is implemented and experienced using business process modeling tools in SOA. Due to the reusable, interoperable, and scalable characteristics of the proposed supply chain simulation framework, various alternatives for supply chin optimization can be generated and evaluated.


Author(s):  
Taejong Yoo

For supply chain optimization, as a key determinant of strategic resources mobility along the value-added chain, simulation is widely used to test the impact on supply chain performance for the strategic level decisions, such as the number of plants, the modes of transport, or the relocation of warehouses. Traditionally, a single centralized model that encompasses multiple participants in the supply chain is built when optimization of the supply chain through simulation is required. However, due to the heterogeneity of supply chain, a centralized simulation model has a limit to reflect the dynamics of each supply chain participant. This research focuses on the conceptual and the technical issues about the supply chain simulation with a parallel and distributed simulation (PADS) concept. In particular, to ensure the decomposition of supply chain simulation model by each supply chain participant, the simulation framework is proposed using Service Oriented Architecture (SOA) in e-collaboration environment. For a clear proof of concept, the virtual supply chain simulation model is implemented and experienced using business process modeling tools in SOA. Due to the reusable, interoperable, and scalable characteristics of the proposed supply chain simulation framework, various alternatives for supply chin optimization can be generated and evaluated.


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