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International Society of Science and Applied Technologies |
| Reliability Evaluation of a Stochastic-Flow Production Network with Automatic and Manual Production Lines | ||||
| Author | Chieh Lee
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| Co-Author(s) | Chen-Yu Yeh; Ping-Chen Chang
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| Abstract | Previous studies on stochastic-flow production networks are often considered fully automatic or fully manual workstations. However, real-world production lines typically combine both machines and workers. Different production phases may adopt various modes to meet diverse product demands and large-scale orders. Rework is also common, and in some sectors, such as surface mount technology (SMT), it remains manual due to complexity and flexibility needs for small-batch order production of small and medium enterprises. This study adopts a stochastic-flow hybrid production network (SFHPN) model to analyze a two-phase hybrid production line. In phase one, each workstation can operate in either automatic or manual mode. In phase two, one workstation is fully automatic and the other manual, with all rework performed on the manual line. The study proposes an algorithm to compute minimal capacities for each workstation under two phases and evaluates satisfaction probability, representing the system reliability. This helps production managers improve decision-making, operational performance, and system stability.
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| Keywords | stochastic-flow hybrid production network (SFHPN), automatic and manual, system reliability, reworking action | |||
| Article #: RQD2025-216 | ||||
Proceedings of 30th ISSAT International Conference on Reliability & Quality in Design |