Assessing the supply chain performance: a causal analysis

DOI10.1007/s10479-019-03457-yzbMath1439.62244OpenAlexW2983013701WikidataQ126812874 ScholiaQ126812874MaRDI QIDQ2178294

Erkan Bayraktar, Ekrem Tatoglu, Kazim Sari, Dursun Delen, Selim Zaim

Publication date: 11 May 2020

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

Full work available at URL: https://doi.org/10.1007/s10479-019-03457-y

zbMATH Keywords

service levelSCMbullwhip effectcausal analysisretailers' performance

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)

Uses Software

• DYNAMO

Cites Work

• The bullwhip effect: progress, trends and directions
• Optimizing of bullwhip effect and net stock amplification in three-echelon supply chains using evolutionary multi-objective metaheuristics
• The impact of information enrichment on the bullwhip effect in supply chains: a control engineering perspective.
• The impact of forecasting model selection on the value of information sharing in a supply chain
• 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
• Measuring the bullwhip effect for supply chains with seasonal demand components
• Behavioral Causes of the Bullwhip Effect and the Observed Value of Inventory Information
• Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information
• Collaboration forms, information and communication technologies, and coordination mechanisms in CPFR
• Ration Gaming and the Bullwhip Effect
• A general method for analysis of covariance structures
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