| Author | Le Mai Huu Lam |
| Call Number | AIT Thesis no. ISE-01-13 |
| Subject(s) | Total quality management--Mathematical models
|
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of
Engineering, School of Advanced Technologies |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. ISE-01-13 |
| Abstract | A quality control plan is developed for a manufacturing process in a Total Quality
Management (TQM) environment. The model of this study is formulated based on the total
expected quality costs in the whole manufacturing process. Total quality management (TQM)
is an integrated approach to organizational leadership which focus on delighting customer by
delivering exceptional products. The paradigm of total quality is rooted in continuous
improvement. In fact, continuous improvement that consists of cusbmer focus, process
improvement and total involvement is the objective of Total Quality Management (TQM).
Customer focus and process improvement of TQM are described in this model to get the
optimal control plan of the manufacturing process. Two primary costs which are considered
in mathematical model are the expected costs of maintaining quality level and the expected
costs of process improvement. Taguchi and Deming's philosophies and their approaches are
applied in this research. First, the costs of maintaining quality levels consist of process
monitoring cost, the product inspection cost and cost of deviation (loss function). Applying
approaches from previous researchers, process monitoring cost and the product inspection
cost are estimated in this model. Moreover, Taguchi quadratic loss function is also applied to
account for the cost associated with customer dissatisfaction, which arises from variation in
products. Second, the cost of improvement is estimated based on application of Deming's
cycle activities which are used popularly in Quality Improvement (QI) methodology. The
target of improvement is to reduce the difference between customer needs and process
performance by moving the centerline of the process closer to the nominal target.
The model has sample size and sampling interval as the decision variables It allows finding
the optimal control plan. Optimization of model is accomplished by using the direct search
technique with some simplifying assumptions. Finally, fractional factorial experiments are
conducted to study the effects and sensitivities of input parameters on the decision variables
for this model. It helps to decide which parameters are critical to a quality control plan for
manufacturing process in TQM environment. |
| Year | 2001 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ISE-01-13 |
| Type | Thesis |
| School | School of Advanced Technologies (SAT) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Industrial Systems Engineering (ISE) |
| Chairperson(s) | Bohez, Erik L. J.; |
| Examination Committee(s) | Voratas Kachitvichyanukul ;Tripathy, Arabinda; |
| Scholarship Donor(s) | Vietnam Oil & Gas Corporation (Petrovietnam) ; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2001 |