Dynamic selection and order allocation of resilient suppliers based on improved fuzzy multi-criteria decision method DOI
Di Liang, Y.L. Li, Y.P. Li

и другие.

Journal of the Chinese Institute of Engineers, Год журнала: 2024, Номер 47(4), С. 442 - 455

Опубликована: Апрель 11, 2024

A complex supply chain can improve the economic benefits of an enterprise to a certain extent, whereas its vulnerability also occurs. How select resilient suppliers risk resistance has become hot issue in management. Furthermore, due complexity and instability market, supplier selection different periods customer demands is dynamic. We use best-worst approach model initial taking into account factors. Based on this result, our study applies fuzzy multi-criteria decision method establish multi-objective that aims solve problem dynamic considering criteria. apply improved wolf pack algorithm measure optimal order allocation strategy between profit pollution. The new energy vehicle manufacturing companies are used as case for verification. results show resilience factors feasible, dual-objective effective. Compared with original algorithm, Wolf better comprehensive performance.

Язык: Английский

An application of deep reinforcement learning and vendor-managed inventory in perishable supply chain management DOI
Navid Mohamadi, Seyed Taghi Akhavan Niaki, Mahdi Taher

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2023, Номер 127, С. 107403 - 107403

Опубликована: Ноя. 9, 2023

Язык: Английский

Процитировано

22
A cooperative hierarchical deep reinforcement learning based multi-agent method for distributed job shop scheduling problem with random job arrivals DOI Open Access
Jiang‐Ping Huang, Liang Gao, Xinyu Li

и другие.

Computers & Industrial Engineering, Год журнала: 2023, Номер 185, С. 109650 - 109650

Опубликована: Окт. 4, 2023

Язык: Английский

Процитировано

20
Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model DOI Creative Commons

Shahed Hossain,

Sami Azam, Sidratul Montaha

и другие.

Heliyon, Год журнала: 2023, Номер 9(11), С. e21369 - e21369

Опубликована: Окт. 21, 2023

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

Язык: Английский

Процитировано

20
Designing the Location–Routing Problem for a Cold Supply Chain Considering the COVID-19 Disaster DOI Open Access
Sina Abbasi,

Maryam Moosivand,

Ilias Vlachos

и другие.

Sustainability, Год журнала: 2023, Номер 15(21), С. 15490 - 15490

Опубликована: Окт. 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.

Язык: Английский

Процитировано

17
A Robust and Risk-Averse Medical Waste Chain Network Design by considering Viability requirements DOI Creative Commons
Reza Lotfi,

Nooshin Mardani,

Sadia Samar Ali

и другие.

RAIRO - Operations Research, Год журнала: 2024, Номер 58(2), С. 1473 - 1497

Опубликована: Янв. 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.

Язык: Английский

Процитировано

7
Do military expenditures have an impact on the adoption of renewable energy in OECD nations? Evidence from a panel cointegration test approach DOI
Nurcan Kilinc‐Ata, Abdülkadir Barut, Mücahit ÇİTİL

и другие.

International Journal of Energy Sector Management, Год журнала: 2024, Номер 18(6), С. 1745 - 1766

Опубликована: Март 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.

Язык: Английский

Процитировано

7
Production planning and control of a pharmaceutical supply chain using evolutionary fuzzy approach DOI Creative Commons
Toly Chen, Yu-Cheng Wang, Yu-Cheng Lin

и другие.

Journal of Engineering Research, Год журнала: 2024, Номер unknown

Опубликована: Июнь 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.

Язык: Английский

Процитировано

7
Design and optimization of machinability of ZnO embedded-glass fiber reinforced polymer composites with a modified white shark optimizer DOI
Nesrine Amor, Muhammad Tayyab Noman, Michal Petrů

и другие.

Expert Systems with Applications, Год журнала: 2023, Номер 237, С. 121474 - 121474

Опубликована: Сен. 9, 2023

Язык: Английский

Процитировано

14
A multi-period vaccines supply chain network design with capacity expansion and different replenishment cycles under uncertain demand DOI
Paulina Kus Ariningsih, Chandra Ade Irawan, Antony Paulraj

и другие.

Computers & Operations Research, Год журнала: 2024, Номер 167, С. 106660 - 106660

Опубликована: Апрель 9, 2024

Язык: Английский

Процитировано

6
Optimization modeling for pandemic vaccine supply chain management: A review and future research opportunities DOI Creative Commons

S S Dey,

Ali Kaan Kurbanzade,

Esma S. Gel

и другие.

Naval Research Logistics (NRL), Год журнала: 2024, Номер 71(7), С. 976 - 1016

Опубликована: Апрель 18, 2024

During various stages of the COVID-19 pandemic, countries implemented diverse vaccine management approaches, influenced by variations in infrastructure and socio-economic conditions. This article provides a comprehensive overview optimization models developed research community throughout era, aimed at enhancing distribution establishing standardized framework for future pandemic preparedness. These address critical issues such as site selection, inventory management, allocation strategies, logistics, route encountered during crisis. A unified is employed to describe models, emphasizing their integration with epidemiological facilitate holistic understanding. also summarizes evolving nature literature, relevant gaps, authors' perspectives model selection. Finally, scopes are detailed both context modeling solutions approaches.

Язык: Английский

Процитировано

5