| Author | Hnaung Khin Khin |
| Call Number | AIT Thesis no. IE-92-21 |
| Subject(s) | Learning curve (Industrial engineering)
|
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master
of Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. IE-92-21 |
| Abstract | 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. |
| Year | 1992 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. IE-92-21 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Industrial Engineering (IE) |
| Chairperson(s) | Nagarur, Nagendra N. |
| Examination Committee(s) | Tang, John C.S. ;Ramanathan, Krishnamurthy
|
| Scholarship Donor(s) | Deutscher Akademischer Austauschdienst (DADD)
Federal Republic of Germany. ; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1992 |
