Inventory management with supplier selection problem: Supply uncertainty

Sourour Aouadni; Abdelwaheb Rebai; IEEE

doi:10.1109/ICMSAO.2013.6552577

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Conference proceeding

Inventory management with supplier selection problem: Supply uncertainty

Sourour Aouadni, Abdelwaheb Rebai and IEEE

2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), pp.1-5

04/2013

DOI: https://doi.org/10.1109/ICMSAO.2013.6552577

Abstract

genetic algorithm

Genetic algorithms

Inventory lot-sizing

Inventory management

Linear programming

Mixed integer programming

Order quantities

Sociology

Statistics

Stochastic processes

Supplier Selection

Supply uncertainty

Uncertainty

Supply uncertainty can have a very radical impact on firms who fail to protect against it. It appears that the quantity delivered by the supplier is random. In this paper, we develop a mixed integer non linear programming model for a mono-item multi-period inventory management decision and supplier selection problem under random yield. The yield of supplier is random. The buyer needs to answer three questions: how much to command? what is supplier selected? and in which period? The complexity of this problem is NP-hard. We used a genetic algorithm (GA) to solve this problem.

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Details

Title: Inventory management with supplier selection problem: Supply uncertainty
Creators - without role: Sourour Aouadni - University of Sfax
Abdelwaheb Rebai - University of Sfax
IEEE
Publication Details: 2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO), pp.1-5
Publisher: IEEE
Identifiers: 9932667908331
Academic Unit: University of Bisha
Language: English
Resource Type: Conference proceeding