African Swine Science (Agri/Animal Science) | 17 May 2004
Methodological Assessment of Manufacturing Plant Systems Reliability in Ethiopian Swine Enterprises Using Quasi-Experimental Design
Y, a, r, e, d, T, e, s, s, e, m, a, ,, M, e, k, o, n, n, e, n, A, s, f, a, w
Abstract
The reliability of manufacturing plant systems in swine enterprises is critical for maintaining consistent productivity and profitability. A mixed-method approach combining quantitative data analysis with qualitative interviews was employed to assess system reliability across 10 randomly selected pig farming enterprises. The Quasi-Newton method was used for model fitting in the statistical analysis. The system reliability scores averaged at 85%, indicating moderate performance variability among different farms, with some plants experiencing up to 20% downtime per month. This study provides a robust framework for evaluating manufacturing plant systems' reliability in Ethiopian swine enterprises and offers recommendations for improving system stability and efficiency. Implementing predictive maintenance strategies can reduce downtime by 15%, leading to significant improvements in farm productivity and financial outcomes. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.