Multiple order-up-to policy for mitigating bullwhip effect in supply chain network

DOI10.1007/s10479-017-2527-yzbMath1434.90009OpenAlexW2618402609MaRDI QIDQ1730464

Nagesh Shukla, Steve McGuire, Sangeeta Khorana, Nishikant Mishra, Anupam Keshari

Publication date: 6 March 2019

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

Full work available at URL: http://sro.sussex.ac.uk/id/eprint/68805/3/Multiple%20order%20up%20to%20policy%20for%20mitigating%20bullwhip%20effect%20in%20supply%20chain%20network%20Accepted%20Version.pdf

zbMATH Keywords

supply chainbullwhip effectbacterial foraging algorithmoptimal order-up-to inventory level

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Inventory, storage, reservoirs (90B05)

Related Items (3)

Measuring the bullwhip effect with market competition among retailers: a simulation study ⋮ Coordination mechanism of supply chain considering the bullwhip effect under digital technologies ⋮ Typology and literature review on multiple supplier inventory control models

Cites Work

• Optimizing of bullwhip effect and net stock amplification in three-echelon supply chains using evolutionary multi-objective metaheuristics
• Controlling the bullwhip effect in a supply chain system with constrained information flows
• Measuring and avoiding the bullwhip effect: A control theoretic approach
• Behavioral Causes of the Bullwhip Effect and the Observed Value of Inventory Information
• Characterization of the Bullwhip Effect in Linear, Time-Invariant Supply Chains: Some Formulae and Tests
• Managing Supply Chain Demand Variability with Scheduled Ordering Policies
• Stock Replenishment and Shipment Scheduling for Vendor-Managed Inventory Systems
• Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information
• The Value of Information Sharing in a Two-Level Supply Chain
• Information Distortion in a Supply Chain: The Bullwhip Effect
• Minimizing the bullwhip effect in a supply chain using genetic algorithms
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