An inverse economic lot-sizing approach to eliciting supplier cost parameters

نویسندگان

  • Péter Egri
  • Tamás Kis
  • András Kovács
  • József Váncza
چکیده

This paper proposes an inverse lot-sizing model for eliciting the cost parameters (the setup, holding, and backlog costs) of a supplier from earlier demand vs. optimal lot-size pairs. It is assumed that the supplier solves a single-item, multi-period, uncapacitated lot-sizing problem with backlogs to optimality to calculate its lot-sizes, and the buyer is aware of this fact. The inverse optimization problem is reformulated to a linear program. The approach is evaluated on a set of randomly generated problem instances.

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تاریخ انتشار 2012