الفهرس 
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Abstract
Lead time quotation in a make to order manufacturing systems plays an important
role in this type of manufacturing systems. Quoting reliable and short lead time can
increase customer satisfaction and give a positive effect on the company’s reputation.
Each firm has to identify its performance indicators and works to improve these
indicators to guarantee the optimum performance and efficiency. Previous researches
revealed that by increasing the manufacturing system performance, the lead time can
be short and accurately quoted.
This thesis considers a multistage manufacturing system where customers order
various types of products with determined batch sizes and are interested in quoting a
short lead time. The production line that represents the manufacturing system is
modelled and simulated by discrete event simulation (DES) to identify the actual
performance of the production line and estimate all factors affect the lead time which
are then modelled using design of experiment. All bottlenecks that occur on the
production line are identified and eliminated by conducting Theory of constraints
(TOC). Optimum performance is selected based on the data envelopment analysis
(DEA) to select the most effective scenario which has the shortest lead time with
maximum throughput rate and highest resource utilization level.