Performance optimization of COVID-19 laboratories with safety participation and psychosocial safety climate: artificial neural network- gray wolf optimization method DOI

Negin Hasani,

Mahdi Hamid,

Zahra Mehdizadeh Somarin

et al.

OPSEARCH, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 22, 2024

Language: Английский

Multi-objective optimization of closed-loop supply chains to achieve sustainable development goals in uncertain environments DOI
Alireza Khalili-Fard, Sarah Parsaee, Alireza Bakhshi

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108052 - 108052

Published: Feb. 15, 2024

Language: Английский

Citations

30
A new evolutionary optimization algorithm with hybrid guidance mechanism for truck-multi drone delivery system DOI
Cemal Yılmaz, Enes Cengiz, Hamdi Tolga Kahraman

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 245, P. 123115 - 123115

Published: Jan. 5, 2024

Language: Английский

Citations

9
An integrated approach for evaluating and improving the performance of hospital ICUs based on ergonomic and work-motivational factors DOI
Saeideh Heidari, Reza Tavakkoli‐Moghaddam, Behnaz Salimi

et al.

Computers in Biology and Medicine, Journal Year: 2023, Volume and Issue: 168, P. 107773 - 107773

Published: Dec. 4, 2023

Language: Английский

Citations

15
Performance optimization of fourth-generation biorefinery departments: A novel mixed macroergonomics-sustainability framework DOI

Mohsen Esteghamat,

Ehsan Aghakarimi,

Mahdi Hamid

et al.

Sustainable materials and technologies, Journal Year: 2024, Volume and Issue: 39, P. e00822 - e00822

Published: Jan. 5, 2024

Language: Английский

Citations

5
Multi-period fourth-party logistics network design from the viability perspective: a collaborative hyper-heuristic embedded with double-layer Q-learning algorithm DOI
Yuxin Zhang, Min Huang, Zheming Gao

et al.

International Journal of Production Research, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 31

Published: April 15, 2024

In the 'new normal' setting of a mega-crisis, viability becomes driving force for fourth party logistics (4PL) network design. this paper, is characterised in terms agility, resilience and survival sustainability as response to changes demand, disruption survivability. The fortification recovery strategies are considered possible disruptions at transfer centres third-party providers. A novel mixed integer non-linear programming model proposed obtain multi-period 4PL solution with minimum total cost under constraints. Considering NP-hard characteristic problem non-convex model, hyper-heuristic algorithm designed. To take advantage both global optimality seeking local search ability, collaborative embedded double-layer Q-learning (CHHDLQL) proposed. effectiveness efficiency demonstrated by promising numerical results. By stress-testing existing network, appropriate adjustments can effectively cope demand disruption. Furthermore, impact strategy, strategies, constraints investigated. satisfaction, capacity be improved adjusting influence different component costs.

Language: Английский

Citations

5
eVTOL Dispatch Cost Optimization Under Time-Varying Low-Altitude Delivery Demand DOI Creative Commons
Tao Li,

Y. F. Du,

Zemin Zhang

et al.

World Electric Vehicle Journal, Journal Year: 2025, Volume and Issue: 16(4), P. 220 - 220

Published: April 7, 2025

In the emerging paradigm of embodied intelligence, eVTOL technology holds significant potential to transform low-altitude economy, particularly in short-distance emergency logistics and urban distribution. Companies like Meituan Shunfeng (SF) are pioneering fixed routes reduce reliance on human delivery. We first investigate performance routing Meituan’s system, focusing dynamic optimization reserves total costs at distribution stations under fluctuating order surges charging constraints. An iterative algorithm is constructed, supported by numerical examples Monte Carlo simulations. Our results reveal that cost parameters demand characteristics jointly shape incremental decision-making its economic performance. To optimize costs, strategies multi-period decentralized scheduling or low-frequency centralized proposed. Future research will address limitations such as 2C effects joint battery-eVTOL replenishment further advance economy development.

Language: Английский

Citations

0
Optimizing perishable food products across states: A multi objective evolutionary algorithm for surplus to deficit transportation DOI
Malleswari Karanam, Krishnanand Lanka, Vijaya Kumar Manupati

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 137, P. 109130 - 109130

Published: Aug. 10, 2024

Language: Английский

Citations

3
Aerial drone fleet deployment optimization with endogenous battery replacements for direct delivery of time-sensitive products DOI
Tanveer Hossain Bhuiyan, Victor Walker, Mohammad Roni

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 252, P. 124172 - 124172

Published: May 24, 2024

Language: Английский

Citations

2
Integrated food delivery problem considering both single-order and multiple order deliveries DOI
Seung Hwan Kim, Byung Do Chung

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 196, P. 110458 - 110458

Published: Aug. 8, 2024

Language: Английский

Citations

2
An Order-aware Adaptive Iterative Local Search Metaheuristic for Multi-depot UAV Pickup and Delivery Problem DOI

Xiangling Chen,

Xiao-Cheng Liao, Feng-Feng Wei

et al.

Proceedings of the Genetic and Evolutionary Computation Conference, Journal Year: 2024, Volume and Issue: unknown, P. 1183 - 1191

Published: July 8, 2024

Language: Английский

Citations

1