An application of deep reinforcement learning and vendor-managed inventory in perishable supply chain management

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 127, P. 107403 - 107403

Published: Nov. 9, 2023

Language: Английский

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Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model

Heliyon, Journal Year: 2023, Volume and Issue: 9(11), P. e21369 - e21369

Published: Oct. 21, 2023

Breast cancer stands as the second most deadly form of among women worldwide. Early diagnosis and treatment can significantly mitigate mortality rates.

Language: Английский

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A cooperative hierarchical deep reinforcement learning based multi-agent method for distributed job shop scheduling problem with random job arrivals

Computers & Industrial Engineering, Journal Year: 2023, Volume and Issue: 185, P. 109650 - 109650

Published: Oct. 4, 2023

Language: Английский

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Designing the Location–Routing Problem for a Cold Supply Chain Considering the COVID-19 Disaster

Sustainability, Journal Year: 2023, Volume and Issue: 15(21), P. 15490 - 15490

Published: Oct. 31, 2023

In this study, a location routing problem (LRP) model was considered for the distribution network of multiple perishable food items in cold supply chain (CSC) where vehicles can refuel at gas stations during light COVID-19 disaster. Fuel consumption is assumed to vary depending on cargo transported between nodes when using non-standard fuel fleet. The formulated as mixed-integer linear programming (MILP) reduce production carbon dioxide (CO2). validated several numerical examples which were solved software, LINGO 17.0. results show that could be reduced case. Due complexity problem, genetically simulated annealing algorithms developed solve actual size problems, and their performance also evaluated.

Language: Английский

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A Robust and Risk-Averse Medical Waste Chain Network Design by considering Viability requirements

RAIRO - Operations Research, Journal Year: 2024, Volume and Issue: 58(2), P. 1473 - 1497

Published: Jan. 11, 2024

This research suggests a Robust and Risk-Averse Medical Waste Chain Network Design by considering Viability requirements (RRMWCNDV). The aim is to locate waste management facility that minimizes promotes the recycling of materials like metal plastic, contributing environmental benefits. proposed RRMWCNDV aims be viable, robust risk-averse. A two-stage stochastic programming model was utilized develop this framework. It incorporates risk employing Weighted Value at Risk (WVaR) approach for first time. study reveals incorporating robustness scenarios results in lower cost function. degree conservatism decision-making can adjusted between 0% 100%, increasing confidence level WVaR indicates aversion, with an increase function 4% increase. agility coefficient, which percentage demand production from HC transferred another facility, also affects population risk. decrease sustainability coefficient 53% rise 12.82% demonstrates NP-hard characteristics becomes exponentially complex larger scales.

Language: Английский

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Do military expenditures have an impact on the adoption of renewable energy in OECD nations? Evidence from a panel cointegration test approach

International Journal of Energy Sector Management, Journal Year: 2024, Volume and Issue: 18(6), P. 1745 - 1766

Published: March 8, 2024

Purpose Today, many industries are implementing creative approaches in response to increasing environmental awareness. It is of great importance answer the question whether military sector, one most important sectors, can support renewable energy (RE) adaptation. This study aims examine how spending affects supply RE 27 Organization for Economic Cooperation and Development (OECD) nations as well regulatory function factors such innovation, international trade oil prices between 1990 2021. Design/methodology/approach The examines effects spending, income, green trade, human development index on using various econometric approaches, which cointegration test, moments quantile regression robustness test. Findings findings demonstrate that all factors, excluding quite likely affect expansion supply. Military negatively influences supply; specifically, a 1% increase results 0.88 reduction In addition, whereas income elasticity, OECD higher last quantiles than first quantiles, influence innovation about same quantiles. Practical implications must consider practical implications, essential assess update countries from perspective transition clean energy. Based study’s overall findings, should incorporate advantages economic growth into their strategies lessen impact renewables. Originality/value fill gap literature regarding role expenditures an country. methodological analysis be used guide policymakers field RE.

Language: Английский

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Production planning and control of a pharmaceutical supply chain using evolutionary fuzzy approach

Journal of Engineering Research, Journal Year: 2024, Volume and Issue: unknown

Published: June 1, 2024

This study aims to enhance the effectiveness of planning a pharmaceutical or healthcare supply chain (PHSC). Past research mostly applied simulation optimization methods, which were time-consuming difficult obtain optimal solution. proposes an evolutionary fuzzy approach from multiple-criteria decision-making (MCDM) perspective addresses this issue. Primary factors considered in proposed methodology include product quality, capacity, availability, experience and relationship, cost. In methodology, calibrated inverse column sum (cFICSM) method is devised derive priorities criteria. Fuzzy principal component analysis (FPCA) resolve dependencies among VIseKriterijumska Optimizacija I Kompromisno Resenje (FVIKOR) then evaluate compare PHSC partners. Finally, required pieces are distributed The has been plan for medical masks central Taiwan during COVID-19 pandemic. Based on experimental results, minimizes makespan while increasing compliance with customers' preferences by 29 %. concludes that MCDM can achieve synergistic effects.

Language: Английский

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A multi-period vaccines supply chain network design with capacity expansion and different replenishment cycles under uncertain demand

Computers & Operations Research, Journal Year: 2024, Volume and Issue: 167, P. 106660 - 106660

Published: April 9, 2024

Language: Английский

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Design and optimization of machinability of ZnO embedded-glass fiber reinforced polymer composites with a modified white shark optimizer

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 237, P. 121474 - 121474

Published: Sept. 9, 2023

Language: Английский

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Designing the Distribution Network of Essential Items in the Critical Conditions of Earthquakes and COVID-19 Simultaneously

Sustainability, Journal Year: 2023, Volume and Issue: 15(22), P. 15900 - 15900

Published: Nov. 13, 2023

Current societies must make the necessary plans for effective responses and to reduce destructive effects of disasters. For this reason, research has developed a mathematical programming model under uncertainty earthquake relief response during COVID-19. In presented model, possibility facility failure is considered according intensity COVID-19 increase reliability. The simultaneous occurrence these disasters presents unique challenges in ensuring timely delivery essential supplies affected regions. Distribution centers (DCs) are be two types: first type local DCs, which use public close accident points. These types prone because they facilities. Another reliable DCs built outside disrupted area, have very low probability loss due spending more money build them. addition, consider reliability capabilities, new tried provide complete transportation planning by considering multi-trip mode vehicles. Moreover, considers distance restriction at demand point time earthquake. proposed network design aims offer solutions promptly delivering items areas, thereby enhancing disaster management strategies minimizing impact crises on vulnerable populations. Uncertainty using approach based modeling scenario case study from city Istanbul illustrate performance suggested model. Finally, solved with an Lp-metric goal (GP) approach. results show that case, shows efficient aid possible terms cost. Therefore, it can help crisis managers respond providing required budget appropriate logistics planning.

Language: Английский

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