Managing quality decisions in supply chain
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
Purpose The purpose of this paper is to develop an optimization model to better allocate cost of quality (COQ) in the supply chain (SC). In addition, the paper provides a roadmap based on COQ that allocates limited given budget among the SC entities. Design/methodology/approach This paper presents a comprehensive SC model while introducing six different scenarios, where each scenario minimizes fixed costs and COQ of the SC. Findings The results showed that the highest portion of the COQ should be allocated at the retailer echelon while the lowest portion should be kept at the manufacturer echelon. The findings also presented that the retailer should always maintain the highest quality level (QL) compared to the manufacturer and supplier. Originality/value Considering prevention, appraisal and failure (PAF) cost model, this research defines the tradeoff among PA, F costs, QL and material flow in the SC network; no work has been published regarding integrating PAF, QL and material flow into SC modeling.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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