Measure of bullwhip effect in supply chains with first-order bivariate vector autoregression time-series demand model

DOI10.1016/j.cor.2016.08.005zbMath1391.90086OpenAlexW2514413266MaRDI QIDQ1652054

Kittiwat Sirikasemsuk, Huyunh Trung Luong

Publication date: 11 July 2018

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2016.08.005

zbMATH Keywords

supply chainbullwhip effectbase stock policybivariate var(1) model

Mathematics Subject Classification ID

Economic time series analysis (91B84) Management decision making, including multiple objectives (90B50) Transportation, logistics and supply chain management (90B06) Deterministic network models in operations research (90B10) Inventory, storage, reservoirs (90B05) Consumer behavior, demand theory (91B42)

Related Items (2)

Measuring the bullwhip effect with market competition among retailers: a simulation study ⋮ Analyzing the behavior of the bullwhip effect considering different distribution systems

Cites Work

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• Quantifying bullwhip effect in a closed loop supply chain
• Analysis of compound bullwhip effect causes
• Measure of bullwhip effect in supply chains with autoregressive demand process
• Measuring and avoiding the bullwhip effect: A control theoretic approach
• Measure of bullwhip effect in supply chains: the case of high order autoregressive demand process
• A measure of bullwhip effect in supply chains with a mixed autoregressive-moving average demand process
• Measure of bullwhip effect -- a dual sourcing model
• Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information
• Information Distortion in a Supply Chain: The Bullwhip Effect
• Demand planning approaches to aggregating and forecasting interrelated demands for safety stock and backup capacity planning

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