Work

Mathematical Modeling and Optimization of Sustainable Production–Inventory Systems Using Particle Swarm Algorithms

Year: 2025

Type: article

Abstract: This research examines a multinational supply chain inventory problem involving one manufacturer and multiple retailers across a range of carbon emission combinations and an incomplete production system. It aims to identify the optimal strategies for material use, production, delivery, replenishment, and pricing to maximize the integrated total profits under various situations. Three particle swarm optimization techniques are used to solve all the models. Numerical examples and sensitivity analyses on parameter changes are provided. The findings indicate that in a multinational supply chain, currency appreciation in individual retailers’ countries decreases their optimal order quantities and the manufacturer’s optimal material purchase quantity, but increases the optimal quantity for other retailers. In summary, this study offers valuable guidance to enterprises and supply chain decision-makers, especially those operating in a multinational framework, aiming to effectively balance carbon reduction and profitability within the context of global trends in carbon emission reduction.

Source: Mathematics

DOI: 10.3390/math13243912

Authors: Chi-Jie Lu, Chih-Te Yang, Dong-Ying Jiang, Ming-Shu Chen

Institutions: Fu Jen Catholic University, Tamkang University, Asia Eastern University of Science and Technology

Language: English

Topic: Supply Chain and Inventory Management

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Responsible consumption and production, Climate action, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,137