Title :
Supply Chain Process Design Toolkit (SCPDT)
Author :
Benjamin, Perakath ; Graul, Mike ; Mayer, Richard ; Painter, Michael ; Marshall, Charles
Author_Institution :
Knowledge Based Systems, Inc., College Station, TX, USA
Abstract :
A characteristic that will distinguish successful manufacturing enterprises of the next millennium is agility: the ability to respond quickly, proactively, and aggressively to unpredictable change. The use of extended virtual enterprise supply chains (SC) to achieve agility is becoming increasingly prevalent. A key problem in constructing effective SCs is the lack of methods and tools to support the integration of processes and systems into shared SC processes and systems. This paper describes the architecture and concept of operation of the Supply Chain Process Design Toolkit (SCPDT), an integrated software system that addresses the challenge of seamless and efficient integration. The SCPDT enables the analysis and design of supply chain (SC) processes. SCPDT facilitates key SC process engineering tasks including (1) AS-IS process baselining and assessment, (2) collaborative TO-BE process requirements definition, (3) SC process integration and harmonization, (4) TO-BE process design trade-off analysis, and (5) TO-BE process planning and implementation
Keywords :
computer aided production planning; flexible manufacturing systems; integrated software; manufacturing data processing; Supply Chain Process Design Toolkit; agility; collaborative process requirements definition; extended virtual enterprise supply chains; integrated software system; manufacturing enterprises; process assessment; process baselining; process engineering tasks; process integration; process planning; Collaboration; Computer architecture; Design engineering; Electronic switching systems; Knowledge based systems; Manufacturing; Process design; Process planning; Software systems; Supply chains;
Conference_Titel :
Simulation Conference, 2001. Proceedings of the Winter
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-7307-3
DOI :
10.1109/WSC.2001.977427