Inventory replenishment decision model for the supplier selection problem using metaheuristic algorithms

DOI10.3934/mbe.2020107zbMath1471.90020OpenAlexW2994774856WikidataQ90791894 ScholiaQ90791894MaRDI QIDQ2049998

Abraham Mendoza, Alma Rodríguez, Elias Olivares-Benitez, Avelina Alejo-Reyes

Publication date: 27 August 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2020107

zbMATH Keywords

genetic algorithmsupply chain managementinventory managementdifferential evolutionparticle swarm optimizationsupplier selectionmetaheuristic algorithmsorder quantity allocation

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59) Inventory, storage, reservoirs (90B05)

Related Items (2)

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Cites Work

• Unnamed Item
• Joint determination of order quantity and reorder point of continuous review model under quantity and freight rate discounts
• A deterministic, multi-item inventory model with supplier selection and imperfect quality
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Mathematical programming models for supply chain production and transport planning
• A serial inventory system with supplier selection and order quantity allocation considering transportation costs
• Optimal inventory policies with two modes of freight transportation
• Analysis of a dynamic lot-sizing problem with production capacity constraint
• Multi-criteria decision making methods. A comparative study

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