Using Multi-Period Optimization to Parameterize a Short-Term Order Release Mechanism
We design a novel order release system by combining a multi-period optimization model for order release planning (allocated clearing function model) with a short-term order release mechanism (LUMS). The former performs mid-term release/production planning while the latter controls order releases in the short term. The LUMS parameters are derived from the planning model in a consistent manner that provides the coupling of medium- and short-term level. Preliminary numerical experiments indicate that this approach substantially improves due date performance and cycle times at the cost of a moderate increase in FGI compared to a stand-alone allocated clearing function model.
Authors
- Philipp Neuner (ORCID: https://orcid.org/0000-0002-4765-9801)
- Quirin Ilmer (ORCID: https://orcid.org/0000-0003-4118-9674)
- Reha Uzsoy (ORCID: https://orcid.org/0000-0002-8068-550X)
- Hubert Missbauer (ORCID: https://orcid.org/0000-0001-9585-3214)
- Stefan Haeussler
Institutions
- North Carolina State University (US)
- Management Center Innsbruck (AT)
Publication Details
- Journal
- IFAC-PapersOnLine
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.ifacol.2025.09.226
- Primary Topic
- Formal Methods in Verification
- Type
- article
- Field-Weighted Citation Impact
- 0.00