Capacity estimation based on clearing functions for the capacitated lot-sizing problem

  • Single-stage capacitated lot-sizing problems (CLSP) are essential for manyplanning tasks in production systems. Due to the hierarchical planning approach, which is widely used in industrial practice and implemented in commercial enterprise resource planning as well as production planning and controlsystems, a subsequent scheduling is necessary to gain executable productionplans. Capacity consumption depends on many factors as, for example, systems workload, machine availability, or yield. Thus, a feasible and optimalsolution of the CLSP may lead to unplanned delays after sequencing and processing the orders on the shop floor. Using a so called clearing function (CF),which represents the relationship between the workload and the output of a production system, this capacity consumption in a CLSP is improved in various ways and tested on a real-world application.

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Metadaten
Author:Frank HerrmannORCiDGND, Frederick LangeORCiD, Christian Almeder
URL / DOI:https://www.emse.fr/~absi/IWLS2014/proceedings_IWLS_2014.pdf
Parent Title (English):Proceedings of the 5th International Workshop on Lot-Sizing, August 26th - 29th, 2014, Porto, Portugal
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2014
Release Date:2020/02/26
Tag:clearing functions
GND Keyword:Hierarchische Produktionsplanung; Kapazitätsplanung; Losgröße
Institutes:Fakultät Informatik und Mathematik
research focus:Produktion und Systeme