An Approximate Method for Integrated Stochastic Replenishment Planning with Supplier Selection - Archive ouverte HAL Access content directly
Conference Papers Year : 2020

An Approximate Method for Integrated Stochastic Replenishment Planning with Supplier Selection

Abstract

A practical methodology for integrated stochastic replenishment planning with supplier selection is proposed for the single item inventory system. A rolling horizon strategy is adopted to implement the ordering decisions. Our method works in two stages. The first stage is a general black box stage that gives the minimum expected "coverage period" cost. The second stage uses a dynamic programming approach to compute the minimum expected cost for the rolling horizon. The proposed method is applicable for both stationary and non-stationary demand distributions and even for problems with minimum order quantity constraints. We also propose to examine the benefits of a dynamic supplier selection approach in comparison to selecting a common supplier. We conduct extensive numerical analyses on synthetic data sets for validation.
Fichier principal
Vignette du fichier
icors_paper-2.pdf (332.6 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02503109 , version 1 (12-03-2020)

Identifiers

  • HAL Id : hal-02503109 , version 1

Cite

Rabin Kumar Sahu, Clarisse Dhaenens, Nadarajen Veerapen, Manuel Davy. An Approximate Method for Integrated Stochastic Replenishment Planning with Supplier Selection. International Conference on Operations Research and Enterprise Systems - ICORES 2020, Feb 2020, Valletta, Malta. ⟨hal-02503109⟩
81 View
124 Download

Share

Gmail Facebook X LinkedIn More