Quality improvement in a continuous production environment : a case study of an electronics firm | |
| Author | Agus Herindajanto |
| Call Number | AIT Thesis no. IE-92-37 |
| Subject(s) | Quality of products Electronics--Quality |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. IE-92-37 |
| Abstract | Quality has emerged as one of the key strategic factors for the survival and success of manufacturing organizations in the new era of global competition. Quality should be built-in into the product. This is the way to improve product quality. In this thesis, a wholistic approach has been undertaken for quality improvement. Four decision areas related to quality, namely 1) vendor rating, 2) on-line continuous sampling plans, 3) economic design acceptance sampling plans, and 4) risk-based acceptance sampling plans, have been formulated and analyzed. The vendor evaluation is conducted in order to get a reliable vendor who can supply high quality parts. This is considered as one of the quality assurance actions at the source. The Analytical Hierarchy Process approach is used because it is concerned with the measurement of both physical (tangibles) and psychological (intangibles) events without compromising, by taking several factors into consideration simultaneously and allowing for dependence and for feedback, and making numerious tradeoffs to arrive at a conclusion. On-line continuous sampling plans are also considered due to the nature of production process at the given plant, in which a formation of a lot does not result naturally (especially in continuous production environment). These plans are designed to attain an Average Outgoing Quality (AOQ) equal to the quality target. Acceptance sampling plans are developed using both producer's and consumer's risks. The plans are designed to determine a minimum sample size and a certain acceptance number with respect to both types of risk, where the weights assigned to the risks depend on the relative importance of the attributes. Since the costs associated with the decisions to accept or reject a lot are very high, the design of sampling plans which are based on risk are no longer justifiable. Alternatively, the economic model can be developed in which all costs associated with the decisions to sentence (acceptance or rejection) a lot are taken into account. The sampling plans are considered as a measure in the development of quality products as processes are not always in statistical control. The sampling plans are most effective when they are preceded by a prevention program that achieves an acceptable level of quality performance. Computer programs have been developed to run the above optimization techniques. Certain sets of data pertaining to the factory have been analyzed for the four models. |
| Year | 1992 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. IE-92-37 |
| 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) | Pandey, P. C. ;Tabucanon, Mario T. |
| Scholarship Donor(s) | US - ASEAN ; |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 1992 |