Sample average approximation for a two-echelon inventory system with service-level constraints

Shing Chih Tsai, I. Ying Ho

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

We propose a sample-average-approximation-based simulation optimisation approach for solving a two-echelon inventory problem containing a total cost objective function and multiple service-level constraints. Some necessary parameter settings and conditions are provided to achieve the stopping condition in practice and the convergence to the optimal solution. The approach takes into account the stochastic nature of the objective and constraint performance measures, and allows the customer demands to occur with a random size and all events to occur at random points in time (including the stochastic lead times). Experimental studies are performed to evaluate the efficiency of the developed algorithms and other existing solution approaches.

Original languageEnglish
Pages (from-to)675-688
Number of pages14
JournalJournal of the Operational Research Society
Volume70
Issue number4
DOIs
Publication statusPublished - 2019 Apr 3

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Strategy and Management
  • Management Science and Operations Research
  • Marketing

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