Profit-risk optimization task for a hybrid warehouse configuration

Object of study: hybrid warehouse architecture for e-commerce, integrating a physical warehouse and a virtual dropshipping channel. Methods: comparative analysis based on financial, operational, and risk-oriented indicators, supported by a mathematical framework incorporating supplier reliability. Results: the study reveals fundamental trade-offs between liquidity, risk, delivery speed, and costs. The hybrid model releases up to 40% of working capital but reduces profit by 25.3% at a supplier reliability of β = 0.95. Risk adjustment decreases expected profit by 11.25% compared to the nominal calculation. Conclusions: a verbal optimization problem is formulated to maximize profit under risk and delivery time constraints, providing a structured approach for managing hybrid systems instead of intuitive selection.

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Publication Details

Journal
Technoeconomics & Management Research
Published
2026-05-11
DOI
https://doi.org/10.57809/2025.4.4.15.7
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Profit-risk optimization task for a hybrid warehouse configuration

Semen Ermochenko
Technoeconomics & Management Research
Advanced Manufacturing and Logistics Optimization
article

Profit-risk optimization task for a hybrid warehouse configuration

Semen Ermochenko
article en

Abstract

Object of study: hybrid warehouse architecture for e-commerce, integrating a physical warehouse and a virtual dropshipping channel. Methods: comparative analysis based on financial, operational, and risk-oriented indicators, supported by a mathematical framework incorporating supplier reliability. Results: the study reveals fundamental trade-offs between liquidity, risk, delivery speed, and costs. The hybrid model releases up to 40% of working capital but reduces profit by 25.3% at a supplier reliability of β = 0.95. Risk adjustment decreases expected profit by 11.25% compared to the nominal calculation. Conclusions: a verbal optimization problem is formulated to maximize profit under risk and delivery time constraints, providing a structured approach for managing hybrid systems instead of intuitive selection.

Technoeconomics & Management Research
Peter the Great St. Petersburg Polytechnic University (RU)
Openalex Percentile: Top 6%
Advanced Manufacturing and Logistics Optimization
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