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 …

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 …

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 …

[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 …

Development of a novel fuzzy hierarchical location-routing optimization model considering reliability

J Ghahremani-Nahr, H Nozari, M Rahmaty… - Logistics, 2023 - mdpi.com
Background: This paper discusses the optimization of a novel fuzzy hierarchical location-
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 …

Electric vehicle adoption and sustainability: Insights from the bibliometric analysis, cluster analysis, and morphology analysis

G Singh, SC Misra, Y Daultani, S Singh - Operations Management …, 2024 - Springer
Electric vehicles (EVs) are a new emerging technological advancement that has
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 …

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 …

[HTML][HTML] Artificial intelligence and machine learning-based decision support system for forecasting electric vehicles' power requirement

SK Jauhar, S Sethi, SS Kamble, S Mathew… - … Forecasting and Social …, 2024 - Elsevier
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 …