Returning to Solvency Through Quality Improvement

Matthew Faciane et al.

International Journal of Applied Management and Technology2021https://doi.org/10.5590/ijamt.2021.20.1.01article
ABDC C
Weight
0.26

What the paper says

The purpose of this qualitative case study was to explore quality improvement strategies senior manufacturing production managers use to reduce Cost of Poor Quality (COPQ) to increase profit. The participants for this study were production managers within a manufacturing company located in the southeastern region of the United States who successfully developed and implemented strategies to lower COPQ to increase profitability. Six major themes emerged from the study: continuous improvement, quality assurance, employees as agents of quality improvement, communication between stakeholders, holding all firm members accountable for quality, and training. Manufacturing managers can use these strategies to lower COPQ and increase profits, which could result in enhancing other organizations’ financial performance. Findings from this study may enable manufacturing managers to improve organizational performance when continuous quality improvement processes are implemented throughout the manufacturing process and senior leaders champion lessons learned, support the training program approach, and implement a quality assurance program that empowers frontline employees as agents of quality throughout the manufacturing process.

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https://doi.org/https://doi.org/10.5590/ijamt.2021.20.1.01

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@article{matthew2021,
  title        = {{Returning to Solvency Through Quality Improvement}},
  author       = {Matthew Faciane et al.},
  journal      = {International Journal of Applied Management and Technology},
  year         = {2021},
  doi          = {https://doi.org/https://doi.org/10.5590/ijamt.2021.20.1.01},
}

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Returning to Solvency Through Quality Improvement

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Evidence weight

0.26

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.20 × 0.15 = 0.03
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.