A robust optimization for multi-period lost sales inventory control problem

研究成果: Article査読

抄録

We consider a periodic review inventory control problem of minimizing inventory cost, production cost, and lost sales under demand uncertainty, in which product demands are not specified exactly and it is only known to belong to a given uncertainty set. We propose a robust optimization formulation for obtaining lowest cost possible and guaranteeing the feasibility with respect to range of order quantity and inventory level for possible values of the data from the uncertainty set. Our formulation is based on the affinely adaptive robust counterpart, which suppose order quantity is affine function of past demands. We derive certainty equivalent problem via second-order cone programming, which gives 'not too pessimistic' worst-case.

本文言語English
ページ(範囲)375-381
ページ数7
ジャーナルOperations and Supply Chain Management
13
4
DOI
出版ステータスPublished - 2020

ASJC Scopus subject areas

  • 管理情報システム
  • 統計学、確率および不確実性
  • 経営科学およびオペレーションズ リサーチ
  • 情報システムおよび情報管理

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