الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
The quality of products in different manufacturing systems has received
extensive studying and attention. The aim of this study is how to reach the
required quality level on the way to meet customer requirements by using
available resources. Nowadays, in the highly competitive market, many
organizations realized that their survival in the market depends mainly on
producing high quality products and services. Applying a proper quality plan in
industries is vital to cope with competitive markets and services.
The aim of the present research is to introduce a new model for optimizing
inspection allocation problem (IAP) at different multistage manufacturing
systems and to study all the factors that affect the IAP using different
performance total cost, line efficiency and smoothness index. Therefore, the
objective here is to allocate an economical number of inspection stations, which
accomplish a certain level of quality and generate the correct balance among
different cost components.
Many researches have studied during the past decade to enhance the quality
inspection system and many mathematical models have been applied to
industrial systems to improve their efficiency and productivity. The modeling approaches used included genetic algorithms, simulated
annealing, and integer liner programming ….etc.
Most of the researchers dealt with the IAP in serial and non-serial
manufacturing system, studying inspection allocation problem at assembly lines
was rarely considered despite it is the importance.
In this thesis, A genetic algorithm is developed to solve IAP at serial lines and
assembly lines manufacturing systems that produce a single product with the
objective of achieving the optimal number and locations of the quality
inspection points to minimize the total cost of the manufacturing line . Design
of experiment is categorized to many experiments each experiment studies
some factors with performance measurements to analyze Inspection allocation
problem IAP as it may be affected by many factors, the concern is to study the
effect of these factors on IAP, as well as the effect of possible interactions
between all factors using Minitab statistical software as more than eight factors
are considered and each factor has different levels to be studied. An analysis is obtained for different factors affecting the efficiency of the
inspection allocation problem at serial manufacturing line and non-serial
assembly line such as inspection errors, different costs and different times affecting the manufacturing line at two different inspection plans with 100%
inspection .
The influence of the factors affecting the output of the IAP are studied using
design of experiments. Several experiments are designed and conducted to
investigate the effect of the input factors on the performance of the
manufacturing systems both individually and interactively. The most important
factors are inspection time, cycle time, inspection costs and rework costs. The
designed experiments are executed on a serial manufacturing line and non-serial
assembly line for both 100% inspection.
Results have shown that the model can be adapted easily to solve any inspection
allocation problem with no limitation in the number of stations. It can arrange
any number of tasks in a considerably short computational time with high
efficiency.