Paper Info
Title
IBM SmartSCOR - a SCOR based supply chain transformation platform through simulation and optimization techniques
Abstract
Identified as a strategic area, supply chain transformation plays a critical role in today's IBM business. In this paper, we introduce an effort in IBM Research Division named SmartSCOR, which provides a comprehensive framework and methodology for On-Demand SCM problem-solving based on the cross-industry process standard Supply Chain Operations Reference (SCOR) model and a variety of simulation/optimization techniques. SmartSCOR sees transformation in two different levels, from supply chain strategy design/redesign to supply chain process improvement. Supply chain strategy design/redesign transforms a supply chain in a fundamental manner by means of manufacturing and distribution network reconfiguration, value chain integration, etc. Supply chain process improvement helps align the underlying business processes to strategy setting and get them streamlined. The two levels interact with each other and result in a profound while smooth transformation. SmartSCOR has been successfully applied in two supply chain transformation projects for validation and hardening.
Year
DOI
Venue
2006
10.1109/WSC.2006.323142
Winter Simulation Conference
Keywords
Field
DocType
smooth transformation,supply chain process improvement,optimization technique,ibm smartscor,strategy setting,chain process improvement,supply chain strategy design,supply chain transformation platform,cross-industry process standard,supply chain,supply chain transformation project,supply chain transformation,value chain integration,supply chain management,value chain,business process
IBM,Business process,Computer science,Distribution networks,Manufacturing engineering,Supply chain management,Supply chain,Control reconfiguration,Supply-chain operations reference
Conference
ISBN
Citations 
PageRank 
1-4244-0501-7
14
1.09
References 
Authors
4
4
Name
Order
Citations
PageRank
Jin Dong110021.57
Hongwei Ding218131.78
Changrui Ren38214.85
Wei Wang4407.43