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In this paper, a continuous time Markov chain model is introduced to study multi-product manufacturing systems with sequence-dependent setup times and finite buffers under seven scheduling policies, i.e., cyclic, shortest queue, shortest processing time, shortest overall time (including setup time and processing times), longest queue, longest processing time, and longest overall time. In manufacturing...
Multi-product production systems with sequence-dependent setup times are typical in manufacturing of semiconductor chips and other electronic products. In such systems, the scheduling policies to coordinate the production of multiple product types play an important role. In this paper, we study a multi-product manufacturing system with finite buffers, sequence-dependent setup times and various scheduling...
The manufacturing factories of electronic products such as micro-processors, TFT-LCD monitors and LED usually have multi-product production lines with sequence-dependent setups and high uncertainties. Dynamic scheduling policies which consider the state of the entire system are needed in such production lines. In this paper, a continuous time Markovian model is developed to evaluate the performance...
In this paper we will introduce a new cycle time performance tracking matrix derived from the factory physics queuing model. We will explore a systematic way to structure the hierarchical cycle time key performance indicators (KPI) framework and also to define the right owner to improve those measurements. We will extend the discussion to some control and improvement methods, in particular, CONWIP...
In semiconductor assembly and test factory, the carts which are used as transports and fixtures are always cycling in the system and they are enablers for the semiconductor production. The limited cart resource, especially when the several different kinds of carts are needed to perform the operation, affect the system performance quite significantly. In this paper, a production line with three machines...
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