DocumentCode :
351927
Title :
An interpreter for adaptable supply chain planning algorithms
Author :
Webster, Scott
Author_Institution :
Syracuse Univ., NY, USA
fYear :
2000
fDate :
2000
Firstpage :
299
Lastpage :
310
Abstract :
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
Keywords :
adaptive systems; information technology; logistics data processing; planning; program interpreters; programming languages; search problems; adaptable supply-chain planning algorithms; algorithmic search strategies; automatic algorithm adaptation; computer-supported supply-chain planning methods; departmental flow coordination; economic impact; feasible alternative program; generic search interpreter; information technology infrastructure; program perturbation; programming language; Computer industry; Computer languages; Information technology; Job shop scheduling; Processor scheduling; Scheduling algorithm; Search problems; Supply chains; Technology planning; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research Challenges, 2000. Proceedings. Academia/Industry Working Conference on
Conference_Location :
Buffalo, NY
Print_ISBN :
0-7695-0628-3
Type :
conf
DOI :
10.1109/AIWORC.2000.843308
Filename :
843308
Link To Document :
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