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Supply Chain Modeling and Analysis (SCMA)
This project is no longer active.
Head: Norman Sadeh-Koniecpol
Contact: Norman Sadeh-Koniecpol (sadeh@cs.cmu.edu)
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Associated center: CIMDS
Associated lab/group: Intelligent Coordination and Logistics Laboratory
For more information, see this project's homepage.
Globalization of the economy, rapid changes in legislations and technologies, and increasing customer expectations in terms of costs and services put a premium on the ability of manufacturing companies to quickly and effectively re-engineer their supply chains. This project focuses on the development of a multi-agent simulation framework for supply chain modeling and analysis. This framework aims at providing support for the quantitative analysis of emerging supply chain management practices (e.g., exchange of Available-To-Promise information, new buyer-supplier relationships). It also aims at providing a platform for rapidly developing customized decision support tools to help with supply chain configuration decisions (e.g., where to locate new manufacturing and/or distribution facilities, which supplier or set of suppliers to rely on) and to study the benefits of different supply chain coordination policies (e.g., re-ordering policies, information exchange policies).
An initial testbed has been developed to study tradeoffs associated with the exchange of Available-To-Promise capacity information between manufacturers and their suppliers. A subset of concepts from this framework has also influenced the development of IBM's BPMAT supply chain re-engineering tool, a proprietary tool used by IBM to re-engineer its supply chains and support IBM consultants working on outside supply chain re-engineering projects.
Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.