Production planning and capacity utilization in petrochemicals industry in Nigeria
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This work investigated the impact of production planning on capacity utilization in Indorama Eleme Petrochemicals Limited, Rivers State, Nigeria. The work aims to determine the extent of the connection between inventory control and Labour Utilization Efficiency, Material Requirements Planning (MRP), and Output-to-Capacity Ratio in Indorama Eleme Petrochemicals Limited, Rivers State, Nigeria. The study was anchored on the Lean Production Theory, which emphasizes waste reduction and optimal resource use in production systems. A descriptive survey design was adopted. Data were collected using structured questionnaires distributed to 286 employees, determined through Taro Yamane’s formula from a total population of approximately 1,000 staff. The data were analyzed utilizing both descriptive and inferential statistics. The findings showed a significant and positive connection between effective production planning practices and improved capacity utilization; effective production planning significantly and positively impacts capacity utilization. It is recommended that industrial firms adopt advanced forecasting tools, modern inventory systems, and lean scheduling techniques to improve their operational effectiveness
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.029 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it