Optimizing of bullwhip effect and net stock amplification in three-echelon supply chains using evolutionary multi-objective metaheuristics

DOI10.1007/s10479-013-1517-yzbMath1350.90006OpenAlexW2062271074MaRDI QIDQ324324

K. Devika, Amir Hassanzadeh, Ahmad Jafarian, Roohollah Khodaverdi

Publication date: 11 October 2016

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-013-1517-y

zbMATH Keywords

supply chain managementbullwhip effectmulti-objective metaheuristicnet stockresponse surface methodology

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (5)

Genetic algorithms in supply chain management: a critical analysis of the literature ⋮ Evolutionary algorithms for supply chain management ⋮ Assessing the supply chain performance: a causal analysis ⋮ Measuring the bullwhip effect with market competition among retailers: a simulation study ⋮ Multiple order-up-to policy for mitigating bullwhip effect in supply chain network

Uses Software

• DYNAMO
• MOPSO

Cites Work

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