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.

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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
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article

Using Multi-Period Optimization to Parameterize a Short-Term Order Release Mechanism

Philipp Neuner, Quirin Ilmer, Reha Uzsoy, Hubert Missbauer et al.
IFAC-PapersOnLine
Formal Methods in Verification
article

Using Multi-Period Optimization to Parameterize a Short-Term Order Release Mechanism

Philipp Neuner, Quirin Ilmer, Reha Uzsoy, Hubert Missbauer, Stefan Haeussler
article en

Abstract

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.

IFAC-PapersOnLineVol. 59(10)
North Carolina State University (US), Management Center Innsbruck (AT)
Openalex Percentile: Top 72%
Formal Methods in Verification
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