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In this paper, we introduce a method for buffer sizing in Critical Chain project scheduling. Proposed approach considers lognormal distribution for modeling activities’ execution time. The inherent uncertainty of activities considered as a main factor to size the buffer in proposed method. For comparing with traditional methods we used problems presented in literature. The results depict that proposed method outperforms critical chain buffer sizing method.
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Stored only when both papers are in the corpus — 31 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.