Multi-objective green scheduling of integrated flexible job shop and automated guided vehicles
G Xu, Q Bao, H Zhang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The traditional flexible job shop scheduling problem (FJSP) ignores transportation issues or
merely introduces a time lag for transportation tasks while assuming an infinite number of …
merely introduces a time lag for transportation tasks while assuming an infinite number of …
Swarm intelligence and nature inspired algorithms for solving vehicle routing problems: a survey
T Stamadianos, A Taxidou, M Marinaki… - Operational Research, 2024 - Springer
Vehicle routing problem (VRP) is a classic NP-hard optimization problem. It is generally
accepted that an optimized routing scheme can cause huge difference in the cost in all …
accepted that an optimized routing scheme can cause huge difference in the cost in all …
Resilience strategies in coping to disruptions of wheat supply chain caused by the Russia–Ukraine war crisis: case study from an emerging economy
M Rahbari, A Arshadi Khamseh, Y Sadati-Keneti - Kybernetes, 2024 - emerald.com
Purpose The Russia–Ukraine war has disrupted the wheat supply worldwide. Given that
wheat is one of the most important agri-food products in the world, it is necessary to pay …
wheat is one of the most important agri-food products in the world, it is necessary to pay …
[HTML][HTML] Optimizing maintenance responsibility distribution in real estate management: A complexity-driven approach for sustainable efficiency
P Aungkulanon, A Hirunwat, W Atthirawong… - Journal of Open …, 2024 - Elsevier
Efficient route management is critical for optimizing maintenance activities in real estate
management. This study delves into the intricate task of allocating maintenance duties …
management. This study delves into the intricate task of allocating maintenance duties …
Development of a novel fuzzy hierarchical location-routing optimization model considering reliability
Background: This paper discusses the optimization of a novel fuzzy hierarchical location-
routing problem, taking into consideration reliability. The mathematical model presented …
routing problem, taking into consideration reliability. The mathematical model presented …
A new hybrid algorithm based on improved mode and pf neighborhood search for scheduling task graphs in heterogeneous distributed systems
N Lotfi, M Ghadiri Nejad - Applied Sciences, 2023 - mdpi.com
Multi-objective task graph scheduling is a well-known NP-hard problem that plays a
significant role in heterogeneous distributed systems. The solution to the problem is …
significant role in heterogeneous distributed systems. The solution to the problem is …
Electric vehicle adoption and sustainability: Insights from the bibliometric analysis, cluster analysis, and morphology analysis
Electric vehicles (EVs) are a new emerging technological advancement that has
apprehended the interest of researchers as well as regulators, primarily due to their …
apprehended the interest of researchers as well as regulators, primarily due to their …
Designing a hybrid intelligent transportation system for optimization of goods distribution network routing problem
H Daneshvar, S Niroomand, O Boyer… - … in Management and …, 2023 - dmame-journal.org
Given that finding the right and appropriate route in the daytime and busy city with the
occurred traffic limitations is a major problem that not only causes inefficient performance in …
occurred traffic limitations is a major problem that not only causes inefficient performance in …
State of health estimation of lithium-ion batteries in electric vehicles based on regional capacity and LGBM
Z Zhang, S Wang, N Lin, Z Wang, P Liu - Sustainability, 2023 - mdpi.com
Battery state of health (SOH) estimation is a prerequisite for battery health management and
is vital for second-life utilization. Existing techniques implemented in well-controlled …
is vital for second-life utilization. Existing techniques implemented in well-controlled …
[HTML][HTML] Artificial intelligence and machine learning-based decision support system for forecasting electric vehicles' power requirement
Increasing pollution is causing adverse environmental effects, leading to increased interest
in combating this issue. There has been a significant interest in minimizing the pollution …
in combating this issue. There has been a significant interest in minimizing the pollution …