Knowledge map** of digital twin and physical internet in Supply Chain Management: A systematic literature review

T Nguyen, QH Duong, T Van Nguyen, Y Zhu… - International journal of …, 2022 - Elsevier
Physical Internet (PI) is an open global logistics system of which components are
hyperconnected for increased efficiency and sustainability. Digital twin (DT), referring to the …

Artificial intelligence and prescriptive analytics for supply chain resilience: a systematic literature review and research agenda

C Smyth, D Dennehy, S Fosso Wamba… - … Journal of Production …, 2024 - Taylor & Francis
Artificial Intelligence (AI) and prescriptive analytics are increasingly being reported as
having transformative powers to enable resilient supply chains (SC). Despite such a benefit …

Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation

I Jackson, D Ivanov, A Dolgui… - International Journal of …, 2024 - Taylor & Francis
This research examines the transformative potential of artificial intelligence (AI) in general
and Generative AI (GAI) in particular in supply chain and operations management (SCOM) …

Artificial intelligence in supply chain and operations management: a multiple case study research

VG Cannas, MP Ciano, M Saltalamacchia… - International Journal of …, 2024 - Taylor & Francis
Artificial intelligence (AI) is increasingly considered a source of competitive advantage in
operations and supply chain management (OSCM). However, many organisations still …

Applying digital twins for inventory and cash management in supply chains under physical and financial disruptions

E Badakhshan, P Ball - International Journal of Production …, 2023 - Taylor & Francis
Supply chains (SCs) operate in a highly disruptive environment, where they face a variety of
disruptions in product and cash flows. In such an environment, determining suitable …

A comparative study of demand forecasting models for a multi-channel retail company: a novel hybrid machine learning approach

A Mitra, A Jain, A Kishore, P Kumar - Operations research forum, 2022 - Springer
Demand forecasting has been a major concern of operational strategy to manage the
inventory and optimize the customer satisfaction level. The researchers have proposed …

Meta-heuristics for sustainable supply chain management: A review

S Faramarzi-Oghani, P Dolati Neghabadi… - … Journal of Production …, 2023 - Taylor & Francis
Due to the complexity and the magnitude of optimisation models that appeared in
sustainable supply chain management (SSCM), the use of meta-heuristic algorithms as …

AI adoption in supply chain management: A systematic literature review

G Shahzadi, F Jia, L Chen, A John - Journal of Manufacturing …, 2024 - emerald.com
Purpose This systematic literature review (SLR) aims to critically analyze the current
academic research on the adoption of artificial intelligence (AI) in supply chain management …

Future food production prediction using AROA based hybrid deep learning model in agri-sector

S Baswaraju, VU Maheswari, K Chennam… - Human-Centric …, 2023 - Springer
Policymaking and administration of national tactics of action for food security rely heavily on
advances in models for accurate estimation of food output. In several fields, including food …

Product backorder prediction using deep neural network on imbalanced data

M Shajalal, P Hajek, MZ Abedin - International Journal of …, 2023 - Taylor & Francis
Taking backorders on products is a common scenario in inventory and supply chain
management systems. The ability to predict the likelihood of backorders can surely minimise …