[HTML][HTML] Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making

MY Shams, SA Gamel, FM Talaat - Neural Computing and Applications, 2024 - Springer
Abstract Crop Recommendation Systems are invaluable tools for farmers, assisting them in
making informed decisions about crop selection to optimize yields. These systems leverage …

Supply chain coordination based on mean-variance risk optimisation: pricing, warranty, and full-refund decisions

AA Taleizadeh, A Amjadian… - … Journal of Systems …, 2023 - Taylor & Francis
This study focuses on optimising sales of different brands of a single-product supply chain
model that consists of several manufacturers and a retailer. The price and quality of the …

The dark and bright side of network complexity: Novel insights from an asymmetric supply chain recovery and disruption approach

E Asafo-Adjei, Z Hamidu, K Issau… - Cogent Business & …, 2023 - Taylor & Francis
Recent studies have conceptualized the potential for a dark and bright perspective of
network complexity in relation to supply chain disruption and resilience respectively. Few …

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 …

Simulation and process mining in a cross-docking system: a case study

S Shams-Shemirani… - … Journal of Production …, 2024 - Taylor & Francis
The increasing development of the competitive market has forced organisations to make
great efforts in the processes of supply, production, and distribution to meet customer …

[HTML][HTML] Enhanced prairie dog optimization with Levy flight and dynamic opposition-based learning for global optimization and engineering design problems

S Biswas, A Shaikh, AES Ezugwu, J Greeff… - Neural Computing and …, 2024 - Springer
This study proposes a new prairie dog optimization algorithm version called EPDO. This
new version aims to address the issues of premature convergence and slow convergence …

[HTML][HTML] Strategizing emissions reduction investment for a livestock production farm amid power demand pattern: A path to sustainable growth under the carbon cap …

MAA Khan, LE Cárdenas-Barrón… - Operations Research …, 2024 - Elsevier
Livestock production companies come under increasing responsibility to reduce their
environmental impact, and thereby, the simultaneous decision-making of inventory …

Single-vendor single-buyer multi-product economic production quantity problem with stochastic constraints: a modified generalized elimination method

A Gharaei, A Amjadian, MV Sebt… - Journal of the …, 2024 - Taylor & Francis
This study designs a single-buyer single-vendor multi-product Economic Production
Quantity (EPQ) model to optimize the total cost in an inventory system. To do so, a Non …

[HTML][HTML] Innovative supply chain network design with two-step authentication and environmentally-friendly blockchain technology

A Babaei, EB Tirkolaee, SS Ali - Annals of Operations Research, 2024 - Springer
Blockchain Technology (BT) has the potential to revolutionize supply chain management by
providing transparency, but it also poses significant environmental and security challenges …

[HTML][HTML] Experimental study on short-text clustering using transformer-based semantic similarity measure

K Abdalgader, AA Matroud, K Hossin - PeerJ Computer Science, 2024 - peerj.com
Sentence clustering plays a central role in various text-processing activities and has
received extensive attention for measuring semantic similarity between compared …