Title :
eSCA: a thin-client/server/Web-enabled system for distributed supply chain simulation
Author :
Chen, H. Bob ; Bimber, Oliver ; Chhatre, Chintamani ; Poole, Elizabeth ; Buckley, Stephen J.
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Abstract :
eSCA is a client server, Web-enabled architecture and front-end system for IBM´s Supply Chain Analyzer (SCA), a new “best-of breed” software tool and methodology for measuring, analyzing, and reengineering complex supply chains. eSCA extends the capability of SCA through a computing network with server-based and Web-enabled functionality. ESCA consists of two distinct versions: eManager and Web-enabled SCA. The eManager version provides model catalogs, interactive modeling, seamless model/file transfer, batch experiments, and post-simulation data analysis. The Web-enabled version provides a rapid way for users to access SCA through the Web. The software development process for eSCA adopted the unified process: use-case driven, architecture-centric, iterative and incremental. This paper focuses on the eSCA use cases and the application architecture. It is shown that eSCA is a reusable architecture for many different applications
Keywords :
business data processing; client-server systems; data analysis; digital simulation; information resources; software architecture; software reusability; systems re-engineering; IBM; Supply Chain Analyzer; Web-enabled system; application architecture; data analysis; distributed supply chain simulation; eManager version; eSCA system; file transfer; front-end system; interactive modeling; model catalogs; reusable architecture; software development process; system reengineering; thin-client server system; use cases; Application software; Catalogs; Computer architecture; Computer networks; Data analysis; Distributed computing; Network servers; Software measurement; Software tools; Supply chains;
Conference_Titel :
Simulation Conference Proceedings, 1999 Winter
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5780-9
DOI :
10.1109/WSC.1999.816867