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Research Article | Open Access

An application of stochastic optimization through barter exchange

Sandipa Bhattacharya1, Mitali Sarkar2, Biswajit Sarkar3,4,5( ), Leopoldo Eduardo Cárdenas-Barrón6, Angappa Gunasekaran7
Research & Development Section, Ribita Technology Private Limited, 21/2A Telipara Lane, Dhakuria, Kolkata 700031, West Bengal, India
Department of Hospitality and Tourism Management, Sejong University, 209 Neungdong-ro (Gunja-dong), Gwangjin-gu, Seoul 05006, South Korea, Republic of Korea
Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul 03722, South Korea, Republic of Korea
Department of Mathematics, Lovely Professional University, Phagwara, Punjab 144411, India
Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu 600077, India
Industrial & Systems Engineering, School of Engineering and Sciences, Tecnológico de Monterrey, Monterrey 64849, Mexico
Department of Supply Chain Management, School of Business Administration, Penn State University, Harrisburg, Middletown, PA 17057, Pennsylvania, USA
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Abstract

In an increasingly complex supply chain network, market demand integrates structural and nonlinear dynamics to reshape the current landscape. Due to these advancements, the concept of barter exchange has emerged as an innovative approach for exchanging products/services without capital investment in the smart production system. It recommends a variety of advantages to facilitate commercialism. The proposed study demonstrates information-based smart supply chain business models and transforms physical activities into digital challenges by highlighting the analytical complexity of verifying retail profitability. Despite the challenges, the study initiates a novel approach to establishing the barter mechanism with promotional efficiency under a stochastic demand function. To facilitate digital implementation, the methodology derives several differential equations with random nonlinearity and proposes complex intelligent optimization algorithms to determine the optimal parameters in the nonlinear mathematical system. The numerical experiment yields a mathematically grounded closed-form solution for an enhanced profit of 42.47% and reduces carbon emissions by 33.33% on a dual digital platform using a stochastic optimization technique. The sensitivity analysis identifies the key elements that emphasize the precision of a flexible alternative decision. It offers significant managerial insights to guide suitable pricing policies and diverse retail interests, and manage complex retail dynamics. Indeed, the barter mechanism supports nonlinear transformation to retail businesses by easing financing and reveals practical applicability in mitigating the complexities of the circular economy.

CLC number: 90B06, 90B50, 90B90

References

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AIMS Mathematics
Pages 21251-21292

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Cite this article:
Bhattacharya S, Sarkar M, Sarkar B, et al. An application of stochastic optimization through barter exchange. AIMS Mathematics, 2026, 11(7): 21251-21292. https://doi.org/10.3934/math.2026863

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Received: 10 May 2026
Revised: 23 June 2026
Accepted: 26 June 2026
Published: 15 July 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)