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Analysis and design of sequencing rules for car sequencing

Listed author(s):
  • Uli Golle
  • Nils Boysen


    (School of Economics and Business Administration, Friedrich-Schiller-University Jena)

  • Franz Rothlauf
Registered author(s):

    This paper presents novel approaches for generating sequencing rules for the car sequencing (CS) problem in cases of two and multiple processing times per station. The CS problem decides on the succession of different car models launched down a mixed-model assembly line. It aims to avoid work overloads at the stations of the line by applying so-called sequencing rules, which restrict the maximum occurrence of labor-intensive options in a subsequence of a certain length. Thus to successfully avoid work overloads, suitable sequencing rules are essential. The paper shows that the only existing rule generation approach leads to sequencing rules which misclassify feasible sequences. We present a novel procedure which overcomes this drawback by generating multiple sequencing rules. Then, it is shown how to apply both procedures in case of multiple processing times per station. For both cases analytical and empirical results are derived to compare classification quality.

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    Paper provided by Friedrich-Schiller-University Jena, School of Economics and Business Administration in its series Jena Research Papers in Business and Economics - Working and Discussion Papers with number 09/2009.

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    Date of creation: 27 Apr 2009
    Publication status: Published in: European Journal of Operational Research 206 (2010), 579-585.
    Handle: RePEc:jen:jenjbe:2009-09
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