In this study, the effect of inspection error on the product mix and quality projects
selection in a manufacturing environment where rework and inspection errors exist
is examined. It is assumed that the products (items) for which rework is necessary
are reprocessed at a separate work center and 100% inspection is performed for the
products both after rework and processing operations. Markov chain approach is
used to compute yield and rework rates. In addition, nominal-the-best type of a
quality loss function is used in computing quality loss due to products shipped to
the customers. A linear programming (LP) model is developed to support the
product mix and quality improvement project selection decisions. The use of LP
model is demonstrated on an example problem. The results obtained under different
experimental conditions are compared with solutions of a naive QI project selection
method, improving the least capable process. The analysis shows that developed LP
model is relatively better than process capability approach. Besides, according to
the results obtained under different experimental conditions, the factors that have
significant effect on throughput and QI project selection are being determined.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/3/12607495/index.pdf |
| Date | 01 August 2006 |
| Creators | Sarbak, Nedret |
| Contributors | Koksal, Gulser |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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