Published August 24, 2026
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Certified Commitment Horizons in Dynamic Lot Sizing: Exact Prefix Stability, Optimal-Face Witnesses and One-Step Forecast Calibration
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Anonymous unrefereed theoretical-computational candidate. The release gives exact-rational certificates and bounded computational evidence for prefix stability in the declared forced-source path model, with an ordinary Wagner-Whitin interpretation only under explicit classical active-horizon bridge conditions. Producer replay is not independent reproduction, peer review, formal verification or field validation.
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Original research content is CC0-1.0; original source code is MIT; the included UCI data retain CC BY 4.0. Third-party literature PDFs are not redistributed. Version DOI 10.5281/zenodo.22086554; concept DOI 10.5281/zenodo.21853901.
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References
- Wagner, H. M., & Whitin, T. M. (1958). Dynamic Version of the Economic Lot Size Model. Management Science, 5(1), 89–96. https://doi.org/10.1287/mnsc.5.1.89
- van Hoesel, S. P. M., & Wagelmans, A. P. M. (1993). Sensitivity Analysis of the Economic Lot-Sizing Problem. Discrete Applied Mathematics, 45(3), 291–312. https://doi.org/10.1016/0166-218X(93)90016-H
- Chakravarti, N., & Wagelmans, A. P. M. (1998). Calculation of Stability Radii for Combinatorial Optimization Problems. Operations Research Letters, 23(1–2), 1–7. https://doi.org/10.1016/S0167-6377(98)00031-5
- Richter, K., & Vörös, J. (1989). A Parametric Analysis of the Dynamic Lot-Sizing Problem. EIK, 25(3), 67–73. The released conclusion is a hash-bound, page-specific producer reading, not exhaustive priority evidence. https://dblp.org/rec/journals/eik/RichterV89
- Li, D., & Romero Morales, D. (2013). Polynomial Time Algorithms for the Minimax Regret Uncapacitated Lot Sizing Model. https://optimization-online.org/2013/12/4149/
- Egri, P., Kis, T., Kovács, A., & Váncza, J. (2014). An inverse economic lot-sizing approach to eliciting supplier cost parameters. https://doi.org/10.1016/j.ijpe.2014.06.005
- Forel, A., & Grunow, M. (2023). Dynamic Stochastic Lot Sizing with Forecast Evolution in Rolling-Horizon Planning. Production and Operations Management, 32(2), 449–468. https://doi.org/10.1111/poms.13881
- Ferreira, R., Martiniano, A., Ferreira, A., Ferreira, A., & Sassi, R. (2016). Daily Demand Forecasting Orders. UCI Machine Learning Repository. https://doi.org/10.24432/C5BC8T