Ahmed F. Siddiqi2012-06-212012-06-212007SCIENCE VISION 12 (1-4), 91-96https://escholar.umt.edu.pk/handle/123456789/540Management 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.enDesigned ExperimentsRobust DesignsSupply-Chian ManagementArticle