Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 153 - 170
Published: Jan. 1, 2025
Language: Английский
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 927, P. 172050 - 172050
Published: March 31, 2024
Language: Английский
Citations
6
International Journal of Management Science and Engineering Management, Journal Year: 2024, Volume and Issue: 19(4), P. 305 - 320
Published: April 18, 2024
Food products are a critical part of everyday life. To increase the efficiency food supply chain, designing comprehensive mathematical is necessary. This study tries to optimize protein chain. chain divided into livestock and perishable products. The integration these two echelons has been applied create an extensive model. Moreover, sustainability considered as competitive advantage in Perishable temperature-sensitive. Hence, cold considered. model three objective functions: maximizing total profit, minimizing storage cost health risk. In dealing with uncertainty, data-driven robust optimization method used. Therefore, this paper used machine learning construct uncertainty sets from historical data. Torabi-Hassini implemented solve multi-objective Finally, show applicability proposed approach, real-world case on poultry including abattoirs, breeding centers, slaughtering, selling branches, applied. result shows that methodology significantly influences profits improves environmental criteria study. different sensitivity analyses have prepared help managers make trade-off between robustness function value various weights calculate influence functions.
Language: Английский
Citations
6
Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 237, P. 121244 - 121244
Published: Aug. 31, 2023
Language: Английский
Citations
12
International Journal of Systems Science Operations & Logistics, Journal Year: 2024, Volume and Issue: 11(1)
Published: Feb. 9, 2024
In globalised and highly uncertain business environment, it is necessary to design a supply chain that not only efficient but also resilient, with continuity operate meet demand in the face of disruption. Aiming at this problem, two-stage distributionally robust optimisation model based on data-driven established closed-loop network can be flexibly executed case To analyse resilience chain, considers possible random disruptions two types facilities, aims deal them through active passive strategies such as supplier fortifying, recovery, signing backup suppliers, lateral transshipment. addition, view uncertainty disruption scenarios limited historical data available, method Wasserstein ambiguity set used. solving, transformed into tractable form using duality linearisation technology, solved by Gurobi solver. The numerical results show: Considering resilient measures effectively mitigate hazards; Adding recycling strategy significantly reduce production costs; Comparing stochastic classical models, performance paper highlighted.
Language: Английский
Citations
4
Journal of Engineering Research, Journal Year: 2024, Volume and Issue: unknown
Published: May 1, 2024
This research aims to develop and optimize an intelligent supply chain framework tailored for the insurance industry by integrating innovative inventory management policy supported Internet of Things (IoT) blockchain technologies. Through extensive literature review, key assumptions are established, needs identified, objectives formulated. A multi-objective mathematical planning model is proposed minimize cost time within chain, with optimization conducted under deterministic fuzzy conditions. The utilizes augmented epsilon constraint weighted sum methods address its multi-objectiveness. Noteworthy integration advanced technologies such as Wireless Sensor Networks (WSN), Radio-Frequency Identification (RFID), blockchain, online sales, distinguishing it from traditional approaches. Initial validation testing in smaller dimensions demonstrate model's adaptability precise methods, while larger necessitate use meta-heuristic algorithms efficient problem resolution. Additionally, a comprehensive sensitivity analysis on objective function coefficients reveals intricate relationships, offering valuable insights into dynamics across diverse
Language: Английский
Citations
4
Journal of Dynamics and Games, Journal Year: 2024, Volume and Issue: 11(4), P. 399 - 421
Published: Jan. 1, 2024
In this paper, we conduct an analysis of a matrix game using rough interval payoffs, which refer to as the (RIMG). We employ three methods address problem at hand: linear programming, graphical method, and algebraic method. The proposed approach offers several key advantages over existing methods, highlight. introduce algorithms associated with each mentioned obtain optimal solutions for RIMG. To validate effectiveness our techniques, present two numerical examples apply methodologies solve them. conclusion, summarize findings study discuss potential avenues future research based on insights provided in paper.
Language: Английский
Citations
4
Central European Journal of Operations Research, Journal Year: 2024, Volume and Issue: unknown
Published: July 2, 2024
Language: Английский
Citations
4
Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6705 - 6705
Published: Aug. 5, 2024
In an era where sustainability and efficient resource utilization are paramount, the closed-loop supply chain (CLSC) emerges as a critical approach, particularly in context of perishable goods. The perishability products adds layer complexity to management, necessitating innovative strategies for maximizing product life minimizing waste. This comprehensive review article delves into integration within framework CLSC. study thoroughly examines existing research identify gaps outline future directions. It emphasizes unique challenges complexities managing goods, crucial but often overlooked component sustainable practices. highlights balance between efficiency sustainability, underscoring importance reverse logistics circular economy principles enhancing resilience. By synthesizing various methodologies findings, presents holistic view current state management CLSCs, offering valuable insights academia industry practitioners. not only contributes theoretical understanding also proposes practical approaches their optimization, aligning with broader goals.
Language: Английский
Citations
4
Central European Journal of Operations Research, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 14, 2024
Language: Английский
Citations
4
Engineering Optimization, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 31
Published: Aug. 20, 2024
The collection and transportation of medical waste (MW) is critical because environmental public safety implications. However, the variability in travel times transport vehicles, influenced by various factors, complicates this process. This article proposes a multi-objective optimization model to enhance time reliability (TTR) while minimizing vehicle costs penalties for window violations. Given NP-hard nature problem, genetic algorithm enhanced an improved harmony search (IHSGA) utilized. are evaluated N City, China. results highlight significance TTR optimizing MW operations. Sensitivity analysis key parameters validates model's robustness. Furthermore, comparative demonstrates superiority IHSGA over traditional methods. These findings underscore importance incorporating additional associated with decision making, advocate strategies mitigate such uncertainties.
Language: Английский
Citations
4