1 AIT Asian Institute of Technology

Optimal sampling plan for quality management : a parametric study

AuthorLe Mai Huu Lam
Call NumberAIT Thesis no. ISE-01-13
Subject(s)Total quality management--Mathematical models

NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technologies
PublisherAsian Institute of Technology
Series StatementThesis ; no. ISE-01-13
AbstractA 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.
Year2001
Corresponding Series Added EntryAsian Institute of Technology. Thesis ; no. ISE-01-13
TypeThesis
SchoolSchool of Advanced Technologies (SAT)
DepartmentDepartment of Industrial Systems Engineering (DISE)
Academic Program/FoSIndustrial Systems Engineering (ISE)
Chairperson(s)Bohez, Erik L. J.;
Examination Committee(s)Voratas Kachitvichyanukul ;Tripathy, Arabinda;
Scholarship Donor(s)Vietnam Oil & Gas Corporation (Petrovietnam) ;
DegreeThesis (M.Eng.) - Asian Institute of Technology, 2001


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