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
Englisch

Bibliographic citation
Journal: Business Research ; ISSN: 2198-2627 ; Volume: 13 ; Year: 2020 ; Issue: 1 ; Pages: 3-38 ; Heidelberg: Springer

Classification
Management
Subject
Stabilized-cycle
Hierarchical planning
Rolling schedules
Demand uncertainty
Fill rate

Event
Geistige Schöpfung
(who)
Meistering, Malte
Stadtler, Hartmut
Event
Veröffentlichung
(who)
Springer
(where)
Heidelberg
(when)
2020

DOI
doi:10.1007/s40685-019-0089-3
Handle
Last update
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

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