Supply Chain Stockout Cost Analysis: Theoretical Models and Coordination Mechanisms

A theoretical paper by Tijn Fleuren, last updated in April 2026, analyzing risk-based decision models for dyadic supply chains. The work examines unconstrained mean-risk newsvendor models and channel coordination under stockout costs. It is published on figshare under a CC-BY-4.0 license and consists of TEX and BIB files totaling 75.9 KB.

Use Cases

• Modeling optimal order quantities under risk aversion based on the described mean-risk newsvendor framework.
• Analyzing the impact of stockout penalties on channel coordination based on the derived Pareto optimality conditions.
• Testing the proposed demand-dependent side-payment mechanism for restoring supply chain flexibility.
• Investigating retailer incentives for misrepresenting risk attitudes under significant stockout penalties.

Strengths

• Provides a unified theoretical framework for mean-risk newsvendor models with established optimality conditions.
• Analyzes multiple demand distributions (normal, uniform, exponential) to reveal the impact of risk aversion.
• Published under a permissive CC-BY-4.0 license, allowing for broad reuse and adaptation.

Limitations

• The dataset is a 75.9 KB theoretical paper; it does not contain empirical or numerical data for direct analysis.
• Column-level documentation is absent; field semantics must be inferred from the academic text after download.
• Row count is unknown, which may limit suitability assessment for data-driven modeling.

Provenance

Source

figshare

Collection Method

Theoretical research and modeling.

Freshness

Last updated 2026-04-11 02:26:06; freshness should be verified.