Artikel
Stabilized-cycle strategy for a multi-item, capacitated, hierarchical production planning problem in rolling schedules
Little research has been done on hierarchical production planning systems (HPPS) in the context of rolling schedules with service-level constraints. Here, we adapt the stabilized-cycle strategy, which has initially been created for the master planning level (Meistering and Stadtler in Prod Oper Manag 26:2247-2265, 2017), to a two-level, multi-item, capacitated (short-medium-term) HPPS with demand uncertainty. For each planning level, we present extensions for mixed-integer programming models from literature (CLSP-L, PLSP) and introduce anticipation functions, as well as linking constraints. In a computational study, we analyze the performance of the HPPS with different rolling schedule strategies: the period-based, the order-based, and the stabilized-cycle strategy. It turns out that the stabilized-cycle strategy dominates the period-based strategy for all studied instances. For some instances, the stabilized-cycle strategy even dominates the order-based strategy; while in remaining instances, the stabilized-cycle strategy provides non-dominated solutions with a significant smaller downside deviation from service-level agreements and only a minor increase of costs.
- Language
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Englisch
- Bibliographic citation
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Journal: Business Research ; ISSN: 2198-2627 ; Volume: 13 ; Year: 2020 ; Issue: 1 ; Pages: 3-38 ; Heidelberg: Springer
- Classification
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Management
- Subject
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Stabilized-cycle
Hierarchical planning
Rolling schedules
Demand uncertainty
Fill rate
- Event
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Geistige Schöpfung
- (who)
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Meistering, Malte
Stadtler, Hartmut
- Event
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Veröffentlichung
- (who)
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Springer
- (where)
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Heidelberg
- (when)
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2020
- DOI
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doi:10.1007/s40685-019-0089-3
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
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Object type
- Artikel
Associated
- Meistering, Malte
- Stadtler, Hartmut
- Springer
Time of origin
- 2020