Hybrid MTS/MTO production scheduling with cloud orders: a mathematical model based on an empirical study
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
Integrated optimization for production systems plays a vital role in today’s competitive economy because it has always attracted valuable and realistic classes of production problems. So that it has recently been the focus of dominant research studies in the field of Production and Operations Management (POM). In this research, a cloud-based order collection model has initially been presented which works in parallel with the regular order system. Moreover, the predictive maintenance (PdM) is improved more by the preventive strategy. Finally, an Order Acceptance and Scheduling (OAS) model, which uses the hybrid Make to Stock/Order (MTS/MTO) production strategy, is presented as the core of an empirical company’s decision-making and planning. In this model, regular orders and cloud-based orders are produced by MTS and MTO strategies, respectively. The model formulation is a MILP, and its objective function maximizes profit. The model is solved using the exact solution method with CPLEX Solver. Computational results for improving productivity in the company studied after conducting this research are presented compared to its previous statufs. This research proposes a novel insight into the OAS problem through a practical approach and offers a new opportunity to include the cloud and regular order fulfilment integration.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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