loading...
An Interpreter for Adaptable Supply Chain Planning Algorithms
Buffalo, New York April 27-April 29
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AIWORC.2000.843308Academia/Industry Working Conference ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Scott Webster, Syracuse University
This paper describes and tests the notion of a generic search interpreter (GSI). A GSI is an interpreter and an associated programming language with three characteristics: (1) any conceivable algorithmic search strategy can be programmed in the language, (2) any given program will work for any given search problem, and (3) perturbing any given program results in a feasible alternative program.These characteristics support the “automatic” adaptation of planning algorithms that, among other possibilities, may be used to help coordinate flows among departments in a company or among companies in a supply chain. The work is motivated by the diverse and dynamic nature of supply chain planning in practice combined with the ongoing rapid advancements in the information technology infrastructure in industry-advancements that significantly increase the economic impact of improved computer-supported supply chain planning methods.
Citation:
Scott Webster, "An Interpreter for Adaptable Supply Chain Planning Algorithms," aiworc, pp.299, Academia/Industry Working Conference on Research Challenges (AIWORC'00), 2000
Usage of this product signifies your acceptance of the Terms of Use.