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<item>
  <id>05711966</id>
  <dt>j</dt>
  <an>05711966</an>
  <augroup>
    <au>Toksari, M.Duran</au>
    <au>Oron, Daniel</au>
    <au>G\"uner, Ertan</au>
  </augroup>
  <ti>Some scheduling problems with past sequence dependent setup times under the effects of nonlinear deterioration and time-dependent learning.</ti>
  <so>RAIRO, Oper. Res. 44, No. 2, 107-118 (2010).</so>
  <py>2010</py>
  <pu>Cambridge University Press, Cambridge; EDP Sciences, Les Ulis</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>scheduling</ut>
    <ut>single machine</ut>
    <ut>past sequence dependent (p-s-d) setup times</ut>
    <ut>time-dependent learning effect</ut>
    <ut>deterioration jobs</ut>
  </utgroup>
  <cigroup>
    <ci>Zbl 1137.90498</ci>
  </cigroup>
  <ligroup>
    <li>doi:10.1051/ro/2010009</li>
  </ligroup>
  <abgroup>
    <ab>Summary: This paper studies scheduling problems which include a combination of nonlinear job deterioration and a time-dependent learning effect. We use past sequence dependent (p-s-d) setup times, which is first introduced by {\it C. Koulamas} and {\it G. J. Kyparisis} [Eur. J. Oper. Res. 187, No.~3, 1045--1049 (2008; Zbl 1137.90498)]. They considered a new form of setup times which depend on all already scheduled jobs from the current batch. Job deterioration and learning co-exist in various real life scheduling settings. By the effects of learning and deterioration, we mean that the processing time of a job is defined by increasing function of its execution start time and a function of the total normal processing time of jobs scheduled prior to it. The following objectives are considered: single machine makespan and sum of completion times (square) and the maximum lateness. For the single-machine case, we derive polynomial-time optimal solutions.</ab>
    <rv></rv>
  </abgroup>
</item>