Department of Economics and Business Economics

Simon Emde

Sequencing assembly lines to facilitate synchronized just-in-time part supply

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Simon Emde
  • Lukas Polten, Technische Universität Darmstadt

The problem of sequencing assembly lines consists of determining the order in which a given set of products is launched down the line. Since individual products may require different parts in different quantities, the production sequence has a big influence on line-side inventory. Classically, sequences are often optimized with the goal of attaining level schedules, i.e., the part demand should be smooth during the planning horizon. However, this approach does not necessarily work well if parts are delivered at discrete points in time in bulk quantities. In this paper, we consider a production system where bins of parts are delivered periodically by a tow train from a central depot at fixed times. Due to the limited space at the assembly line, the maximum number of bins in stock at any time at any station should be minimal. We propose an exact solution method based on combinatorial Benders decomposition as well as bounding procedures and heuristics for this problem. The algorithms are shown to perform well both on instances from the literature and on new data sets. We also investigate whether classic level scheduling methods are effective at reducing line-side stock in an assembly system supplied by tow train, and to what degree line-side stock can be traded off for more frequent deliveries.

Original languageEnglish
JournalJournal of Scheduling
Volume22
Issue6
Pages (from-to)607-621
Number of pages15
ISSN1094-6136
DOIs
Publication statusPublished - 1 Jan 2019
Externally publishedYes

    Research areas

  • Assembly line sequencing, Benders decomposition, Level scheduling, Tow trains

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