Functional Synthesis of Manufacturing Systems Using Co-Platforming to Minimize Cost of Machines and System Changes
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
Manufacturing systems need to be designed to cope with products’ variety and frequent changes in market requirements. Switching between product families in different production periods often requires reconfiguration of the manufacturing system with associated additional cost and interruption of production. A mixed integer linear programing (MILP) model is proposed to synthesize manufacturing systems based on the co-platforming methodology taking into consideration machine level changes including addition or removal of machine axes and changing setup as well as system level changes such as addition or removal of machines. The objective is to minimize the cost of change needed for transition between product families and production periods. An illustrative numerical example and an industrial case study from tier I automotive supplier are used for verification. Finally, the effect of maintaining a common core of machines in the manufacturing system on the total capital and change cost is investigated. It has been demonstrated that synthesizing manufacturing systems designed using the co-platforming strategy reduces the total investment cost including initial cost of machines and cost of reconfiguration.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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