Sequencing Mixed-Model Assembly Lines to Minimize Part Inventory Cost
Nils Boysen (),
Malte Fliedner () and
Armin Scholl ()
Additional contact information
Nils Boysen: Universität Hamburg, Institut für Industrielles Management
Malte Fliedner: Universität Hamburg, Institut für Industrielles Management
No 03/2007, Jena Research Papers in Business and Economics - Working and Discussion Papers (Expired!) from Friedrich Schiller University Jena, School of Economics and Business Administration
Abstract:
A mixed-model assembly line enables the joint production of dierent models of a common base product in intermixed model sequence (lot size one). Previous approaches for the short-term planning task of model sequencing either aim at minimizing work overload (mixed-model sequencing and car sequencing) or leveling part usages (level scheduling). However, at many manufacturers parts are consolidated by a third party logistics provider, who stocks Just-in-Time delivered parts in a consignment warehouse adjacent to the line. The manufacturer issues a complete cargo carrier (e.g. a euro-pallet) whenever his own intermediate storage of parts is depleted. Thus, the manufacturer aims at a model sequence which minimizes his own inventory costs. This paper formalizes this novel model sequencing problem and describes dierent heuristic and exact procedures. Furthermore, the solutions yielded by these approaches are compared to the traditional level scheduling.
Keywords: Mixed-model assembly line; Sequencing; Consignment stock; Dynamic Programming; Ant Colony Optimization (search for similar items in EconPapers)
Date: 2007-02-25
References: Add references at CitEc
Citations:
Published in: Operations Research Spectrum 30/3 (2008), 611-633
Downloads: (external link)
http://dx.doi.org/10.1007/s00291-007-0095-2 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jen:jenjbe:2007-03
Access Statistics for this paper
More papers in Jena Research Papers in Business and Economics - Working and Discussion Papers (Expired!) from Friedrich Schiller University Jena, School of Economics and Business Administration
Bibliographic data for series maintained by Markus Pasche ().