[HTML][HTML] Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making
Abstract Crop Recommendation Systems are invaluable tools for farmers, assisting them in
making informed decisions about crop selection to optimize yields. These systems leverage …
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
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
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 …
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
Blockchain Technology (BT) has the potential to revolutionize supply chain management by
providing transparency, but it also poses significant environmental and security challenges …
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 …
received extensive attention for measuring semantic similarity between compared …