Release date optimisation in MRP using clearing functions

This paper integrates a clearing function (CF)-based release planning approach into Material Requirements Planning (MRP) to address its limitations in modeling capacity constraints and dynamic lead times. The proposed optimization model replaces MRP's backward scheduling step while preserving its overall structure. Performance is evaluated through simulation experiments on two flow shop systems that explore a range of demand uncertainties and utilization levels. Computational results show that the proposed approach is capable of yielding significant improvements over the conventional backward scheduling approach, due to its ability to compute planned lead times for individual production orders as opposed to BOM items.

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Publication Details

Journal
International Journal of Production Research
Published
2026-02-05
DOI
https://doi.org/10.1080/00207543.2026.2625240
Primary Topic
Constraint Satisfaction and Optimization
Type
article
Field-Weighted Citation Impact
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article

Release date optimisation in MRP using clearing functions

Reha Uzsoy, Klaus Altendorfer
International Journal of Production Research
Constraint Satisfaction and Optimization
article

Release date optimisation in MRP using clearing functions

Reha Uzsoy, Klaus Altendorfer
article en

Abstract

This paper integrates a clearing function (CF)-based release planning approach into Material Requirements Planning (MRP) to address its limitations in modeling capacity constraints and dynamic lead times. The proposed optimization model replaces MRP's backward scheduling step while preserving its overall structure. Performance is evaluated through simulation experiments on two flow shop systems that explore a range of demand uncertainties and utilization levels. Computational results show that the proposed approach is capable of yielding significant improvements over the conventional backward scheduling approach, due to its ability to compute planned lead times for individual production orders as opposed to BOM items.

International Journal of Production Research
North Carolina State University (US), University of Applied Sciences Upper Austria (AT)
Openalex Percentile: Top 71%
Constraint Satisfaction and Optimization
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