Reverse bullwhip effect under the rationing game: A state-space approach

Driven by the challenges posed by supply chain disruptions when demand surpasses supply, this study introduces a novel stochastic state-space approach to examine how the rationing game influences the reverse bullwhip effect and inventory fluctuations. The rationing mechanism is represented through a proportional controller, which regulates the allocation of goods to downstream supply chain participants. The analysis focuses on a three-node supply chain comprising a single distributor supplying two retailers. Each retailer manages its inventory using a base stock policy while responding to stochastic customer demand patterns. The dynamic behaviour of the supply chain is captured through a closed-form covariance matrix, which is formulated in terms of the proportional control parameters and the proportion of the distributor’s inventory allocated to retailers. By analysing the model under stationary conditions, the study explores how distributor inventory variability and correlated demand patterns impact upstream demand amplification and broader instability phenomena within supply chains.

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Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.09.434
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
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article

Reverse bullwhip effect under the rationing game: A state-space approach

Christos I. Papanagnou, Ahmet Onur Agca
IFAC-PapersOnLine
Supply Chain and Inventory Management
article

Reverse bullwhip effect under the rationing game: A state-space approach

Christos I. Papanagnou, Ahmet Onur Agca
article en

Abstract

Driven by the challenges posed by supply chain disruptions when demand surpasses supply, this study introduces a novel stochastic state-space approach to examine how the rationing game influences the reverse bullwhip effect and inventory fluctuations. The rationing mechanism is represented through a proportional controller, which regulates the allocation of goods to downstream supply chain participants. The analysis focuses on a three-node supply chain comprising a single distributor supplying two retailers. Each retailer manages its inventory using a base stock policy while responding to stochastic customer demand patterns. The dynamic behaviour of the supply chain is captured through a closed-form covariance matrix, which is formulated in terms of the proportional control parameters and the proportion of the distributor’s inventory allocated to retailers. By analysing the model under stationary conditions, the study explores how distributor inventory variability and correlated demand patterns impact upstream demand amplification and broader instability phenomena within supply chains.

IFAC-PapersOnLineVol. 59(10)
Aston University (GB)
Openalex Percentile: Top 57%
Supply Chain and Inventory Management
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