Analytical models for supplier selection and order quantity allocation

Abraham Mendoza, José A. Ventura

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

In the literature, decision models and techniques for supplier selection do not often consider inventory management of the items being purchased as part of the analysis. In this article, two mixed integer nonlinear programming models are proposed to select the best set of suppliers and determine the proper allocation of order quantities while minimizing the annual ordering, inventory holding, and purchasing costs under suppliers' capacity and quality constraints. The first model allows independent order quantities for each supplier while the second model restricts all order quantities to be of equal size, as it would be required in a multi-stage (supply chain) inventory model. Illustrative examples are used to highlight the advantages of the proposed models over a previous model introduced in the literature.

Original languageEnglish (US)
Pages (from-to)3826-3835
Number of pages10
JournalApplied Mathematical Modelling
Volume36
Issue number8
DOIs
StatePublished - Aug 2012

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Analytical models for supplier selection and order quantity allocation'. Together they form a unique fingerprint.

Cite this