case study of a consumer goods manufacturing company Hnaung Khin Khin creator Nagarur, Nagendra N. Chairperson Tang, John C.S. Examination Committee Ramanathan, Krishnamurthy Examination Committee Deutscher Akademischer Austauschdienst (DADD) Federal Republic of Germany Scholarship Donor text th Bangkok Asian Institute of Technology 1992 monographic eng

print

109 leaves This study introduces an analytic framework for extending univariate learning curves (manufacturing progress functions) to multivariate models for quality costs and productivity analyses. Multivariate functions are needed to account for the multitude of factors that can influence learning in manufacturing operations. Two bivariate manufacturing progress function for a consumer goods manufacturing company is presented. This study is also concerned with predicting ultimate productivity and quality costs and the time scale in which it is approached. Direct Method, Iterative Method and Three Parameter Estimation Method are also presented to predict these parameters. A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology Thesis (M.Eng.) - Asian Institute of Technology, 1992 Learning curve (Industrial engineering) Asian Institute of Technology. http://203.159.5.9/ait-thesis/detail.php?q=B17204 http://203.159.5.9/ait-thesis/detail.php?q=B17204 010798 20260818145342.0