Simulation Diagnosis for the Bottleneck of Production Lines and Its Application is a research paper published in Materials Science Forum (2004). On theSindex it has a DataRank of 0.363. It has been cited 5 times, with 3 citing works in its 1-hop citation network.
Traditional bottleneck diagnosis of production lines mainly relies on the designer’s experience, theoretical calculation or data analysis after practical system run. There are some disadvantages of the traditional bottleneck diagnosis for production lines. Using the virtual manufacturing technologies, a novel Simulation Diagnosis methodology about the Bottleneck of Production Lines (SDBPL) has been presented. With the proposed method, an existed production line is modeled, simulated and analyzed. Its bottleneck is quickly diagnosed by some ways such as visual simulation results, cycle time, machine utilization and labor utilization. Results reveal that SDBPL can find the location of bottleneck in the practical production lines without wasting practical resource because the entire course of the diagnosis for bottleneck is implemented in virtual environment, and SDBPL is quicker than that of traditional methods as well.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.269
From this paper's citation signal
Citation Network Contribution
0.0943
From 3 citing papers with measurable signal
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 74% comes from its base citations and 26% from the citation network (3 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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