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The purposes of this case study is to analyze and identify the variation of sewing workers’ performance of the apparel industry with respect to working hours in a day and different working days; and find out possible solutions to overcome these variations. Data was collected following the theory of work study and then statistical hypothesis test such as two-way ANOVA was done to uncover the variations within the work station relative to working hours and working days and the variations were occurred in around 70% work stations whereas 53% stations faced variation in hourly only. Furthermore, the findings were analyzed by Delphi technique with a group of experts to identify the causes and the corresponding solutions. The Delphi experts group used a cause and effect diagram to identify the causes and finally suggested short-term and long-term solutions.
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Stored only when both papers are in the corpus — 3 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.