Designing out a malignant supply-chain
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Date
2007
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Abstract
Management of supply-chains is a pivotal successfactor
for any organization in a knowledge-based
economy. Efficiency of a typical supply-chain
depends on an identically optimal performance of its
each and every component, while any
comparatively weak component may desolate the
whole performance. One way out is intelligent
application of already proved-efficient statistical
experimental designs.
The present article is attempting to treat supplychain
management as a system of quantifiable
components and then use designed experiments,
not only to improve its performance but to guard
against the malignant effects of any miscreant
component. The article attempts to explain guiding
principles involved in planning, executing, and
analyzing designed experimentation in the domain
of supply-chain management. Some specific
statistical plans are also discussed for their
comparative merits and demerits in the field of
supply-chain management.
Description
Keywords
Designed Experiments, Robust Designs, Supply-Chian Management
Citation
SCIENCE VISION 12 (1-4), 91-96