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Knowledge map** of digital twin and physical internet in Supply Chain Management: A systematic literature review
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 …
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
Artificial Intelligence (AI) and prescriptive analytics are increasingly being reported as
having transformative powers to enable resilient supply chains (SC). Despite such a benefit …
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
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) …
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
Artificial intelligence (AI) is increasingly considered a source of competitive advantage in
operations and supply chain management (OSCM). However, many organisations still …
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
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 …
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 …
inventory and optimize the customer satisfaction level. The researchers have proposed …
Meta-heuristics for sustainable supply chain management: A review
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 …
sustainable supply chain management (SSCM), the use of meta-heuristic algorithms as …
AI adoption in supply chain management: A systematic literature review
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 …
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 …
advances in models for accurate estimation of food output. In several fields, including food …
Product backorder prediction using deep neural network on imbalanced data
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 …
management systems. The ability to predict the likelihood of backorders can surely minimise …