Punitive Policies to Combat Misreporting in Dynamic Supply Chains

Wholesale price contracts are known to be associated with double marginalization effects, which prevent supply chains from achieving their true market share. In a dynamic setting under information asymmetry, these inefficiencies manifest in the form of misreporting of the market potential by the manufacturer to the supplier, again leading to the loss of market share. We pose the dynamics of interaction between the supplier and manufacturer as the Stackelberg game and develop theoretical results for optimal punitive strategies that the supplier can implement to ensure that the manufacturer truthfully reveals the market potential in the single-stage setting. Later, we validate these results through the randomly generated, Monte-Carlo simulation based numerical examples.

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Publication Details

Journal
IEEE Control Systems Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lcsys.2025.3573883
Citations
1
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
2.23
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article

Punitive Policies to Combat Misreporting in Dynamic Supply Chains

Veeraruna Kavitha, Arvind Kumar Maurya, Madhu Dhiman, Priyank Sinha
1 citations
IEEE Control Systems Letters
Supply Chain Resilience and Risk Management
2.23
article

Punitive Policies to Combat Misreporting in Dynamic Supply Chains

Veeraruna Kavitha, Arvind Kumar Maurya, Madhu Dhiman, Priyank Sinha
article en
1 citations

Abstract

Wholesale price contracts are known to be associated with double marginalization effects, which prevent supply chains from achieving their true market share. In a dynamic setting under information asymmetry, these inefficiencies manifest in the form of misreporting of the market potential by the manufacturer to the supplier, again leading to the loss of market share. We pose the dynamics of interaction between the supplier and manufacturer as the Stackelberg game and develop theoretical results for optimal punitive strategies that the supplier can implement to ensure that the manufacturer truthfully reveals the market potential in the single-stage setting. Later, we validate these results through the randomly generated, Monte-Carlo simulation based numerical examples.

IEEE Control Systems LettersVol. 9
Indian Institute of Technology Bombay (IN)
Openalex Percentile: Top 11%
Supply Chain Resilience and Risk Management
2.23
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Punitive Policies to Combat Misreporting in Dynamic Supply Chains — Veeraruna Kavitha, Arvind Kumar Maurya, et al. · IEEE Control Systems Letters (2025) | TGRS Research Map | TGRS