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This article proposes a discrete event simulation (DES) framework to analyse the impact of disturbances, their parameter values, and their interactions, on production line efficiency. The framework is demonstrated by means of a case study of a manufacturing process in an Indian automotive manufacturer. Various scenarios are generated and studied using design of experiment (DOE) to investigate the effects of changes in product, technology, cycle time, and worker competency, and to derive the optimal set of process and decision parameters.
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Stored only when both papers are in the corpus — 36 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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