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<item>
  <id>05142339</id>
  <dt>j</dt>
  <an>05142339</an>
  <augroup>
    <au>Nessah, Rabia</au>
    <au>Chu, Chengbin</au>
    <au>Yalaoui, Farouk</au>
  </augroup>
  <ti>An exact method for $Pm/sds, r_{i}/ \sum^{n}_{i=1} C_{i}$ problem.</ti>
  <so>Comput. Oper. Res. 34, No. 9, 2840-2848 (2007).</so>
  <py>2007</py>
  <pu>Elsevier Science Ltd. (Pergamon), Oxford</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>identical parallel machine</ut>
    <ut>scheduling</ut>
    <ut>setup time</ut>
    <ut>release dates</ut>
    <ut>lower bound</ut>
    <ut>dominance properties</ut>
    <ut>heuristic</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1016/j.cor.2005.10.017</li>
  </ligroup>
  <abgroup>
    <ab>Summary: This paper addresses an identical parallel machine scheduling problem, with sequence-dependent setup times and release dates to minimize total completion time. This problem is known to be strongly NP-hard. We prove a sufficient and necessary condition for local optimality which can also be considered as a priority rule. We then define a dominant subset based on this condition. We present efficient heuristic algorithms using this condition to build a schedule belonging to this subset. We also prove a dominance theorem, and develop a lower bound that can be computed in polynomial time. We construct a branch-and-bound algorithm in which the heuristic, the lower bound and the dominance properties are incorporated. Computational experiments suggest that the algorithm can handle test problems with 40 jobs and 2 machines.</ab>
    <rv></rv>
  </abgroup>
</item>