Rohana J. Karunamuni

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In this paper we adopt the dynamic system design approach to develop an integrated model system for the scrap-processing problem under JIT and implement it as a kind of DSS plug-in for the ERP system. This solution represents the value-added migration strategy toward the evolving global emanufacturing operation. The convenience and flexibility of the(More)
We investigate the empirical Bayes estimation problem of multivariate regression coefficients under squared error loss function. In particular, we consider the regression model Y = Xβ+ ε, where Y is an m-vector of observations, X is a known m× k matrix, β is an unknown k-vector, and ε is anm-vector of unobservable random variables. The problem is squared(More)
Minimum distance techniques have become increasingly important tools for solving statistical estimation and inference problems. In particular, the successful application of the Hellinger distance approach to fully parametric models is well known. The corresponding optimal estimators, known as minimum Hellinger distance estimators, achieve efficiency at the(More)