market costs primary optimization case

The gap

Supporting evidence — 8 representative gaps

• Balancing profits and planet: a game-theoretic particle swarm optimization for green inventory routing (2026) · doi

  This research advances logistics system optimization by integrating game-theoretic reasoning into swarm-based metaheuristics, enabling more efficient management of material and transport flows in sustainable distribution networks. The research successfully developed and validated a novel Game-Theoretic Particle Swarm Optimization (GT-PSO) for the Green Inventory Routing Problem. By conceptualizing the critical discretization step as a strategic game, our method demonstrated superior performance in solving this complex optimization challenge. The two primary objectives of the study were achieved: we proposed an improved metaheuristic, the GT-PSO, and we demonstrated its superior performance through extensive computational experiments. ~ 219 ~ Published by Acta Logistica, www.actalogistica.eu Acta Logistica, Volume 13, Issue 1, Pages 210-221, 2026 ISSN 1339-5629 Balancing profits and planet: a game-theoretic particle swarm optimization for green inventory routing Kawinthorn Saicharoen, Choosak Pornsing The key conclusion of this work is that the proposed GT-PSO is a highly effective and robust tool for solving large- scale, real-world GIRP instances. It consistently outperformed both Genetic Algorithm and Simulated Annealing in terms of solution quality, statistical significance, and consistency, especially as problem complexity increased. The novel game- theoretic discretization strategy proved to be a powerful mechanism, enabling the algorithm to effectively navigate the discrete solution space and avoid the common pitfalls of premature convergence. The novelty of this approach lies not only in integrating game theory into PSO but also in demonstrating its consistent superiority across diverse benchmark instances. This game-theoretic framework can be generalized to other NP-hard sustainability-related optimization problems, making it a special and versatile contribution to green operations research. Managerial Implications: For logistics and supply chain managers, this research provides a practical and powerful decision-support tool. The model’s ability to integrate and weigh economic and environmental costs offers the flexibility to adapt to different regulatory environments (e.g., varying carbon taxes) and corporate sustainability goals. By using this algorithm, companies can design distribution strategies that not only minimize operational costs but also significantly reduce their carbon footprint, thereby achieving a competitive advantage in an increasingly eco-conscious market. Practically, the results provide logistics managers with a tool capable of handling large-scale, environmentally constrained routing decisions. Academically, the work contributes to the growing literature on hybrid intelligent optimization by illustrating how behavioural decision models—like game theory—can enhance classical swarm-based algorithms. Limitations and Future Work: While this study provides a strong foundation, it has certain limitations that open avenues for future research. The model assumes deterministic parameters; future work could explore stochastic GIRP by incorporating uncertainty in demand or travel times. Another promising direction is to reformulate the problem as a true multi-objective optimization problem and use techniques like Pareto optimization to find a set of non-dominated solutions, giving decision-makers a range of trade-offs rather than a single point solution. Further research could also investigate heterogeneous fleets including electric vehicles (EVs) and develop more sophisticated emission models. Finally, applying and validating the proposed algorithm on a real-world industry case study would be an invaluable next step to confirm its practical utility.

  Keywords: optimization game theoretic swarm problem algorithm logistics green routing proposed tool solution decision future integrating
• A Review of International Marketing Research for Chinese Medicine Health Products (2026) · doi

  Most enterprises are concentrated in low-value-added segments such as primary medicinal materials and traditional health supplements, while high-value-added innovative products remain insufficiently supplied.

  Keywords: value added enterprises concentrated segments primary medicinal materials traditional health supplements high innovative products remain
• A Review of International Marketing Research for Chinese Medicine Health Products (2026) · doi

  Future efforts should strengthen empirical research on differentiation strategies, validate their effectiveness through specific market case studies, and provide enterprises with more actionable competitive solutions.

  Keywords: future efforts strengthen empirical differentiation strategies validate effectiveness specific market case provide enterprises actionable competitive
• Factors Affecting the Effectiveness of Private Economic Development Policies in Vietnam Today (2026) · doi

  The paper identifies that the biggest bottleneck lies in implementation rather than strategic direction, but does not provide detailed empirical analysis of specific implementation failures across different policy types.

  Keywords: implementation identifies biggest bottleneck lies rather strategic direction provide detailed empirical specific failures across different
• Challenges and Opportunities of Rural Entrepreneurship in Bastar District: A Socio-Economic Analysis (2026) · doi

  The study data is from 2017 (6 villages); more recent primary research across additional villages would further validate these findings.

  Keywords: villages recent primary across additional further validate
• Optimization of Rice Production: A Case Study of Rabba in Mokwa Local Government Area of Nigeria (2026) · doi

  The linear programming model assumes constant prices and costs; the paper does not account for seasonal price fluctuations, market volatility, or external economic shocks.

  Keywords: linear programming model assumes constant prices costs account seasonal price fluctuations market volatility external economic
• Graph-theoretic Modeling of Smart Money Flows: Fibonacci Nodes, Wave Patterns, and Liquidity Networks (2026) · doi

  Integration with existing risk management systems, portfolio optimization algorithms, and real-world trading workflows requires further development and testing.

  Keywords: integration existing risk management systems portfolio optimization algorithms real world trading workflows requires further development
• Optimization of Rice Production: A Case Study of Rabba in Mokwa Local Government Area of Nigeria (2026) · doi

  Labor availability, labor costs, and timing of agricultural operations were not explicitly modeled as constraints in the optimization problem.

  Keywords: labor availability costs timing agricultural operations explicitly modeled constraints optimization problem