Data clustering: application and trends

GJ Oyewole, GA Thopil - Artificial Intelligence Review, 2023 - Springer
Clustering has primarily been used as an analytical technique to group unlabeled data for
extracting meaningful information. The fact that no clustering algorithm can solve all …

Digital twin-driven smart supply chain

L Wang, T Deng, ZJM Shen, H Hu, Y Qi - Frontiers of Engineering …, 2022 - Springer
Today's supply chain is becoming complex and fragile. Hence, supply chain managers need
to create and unlock the value of the smart supply chain. A smart supply chain requires …

Accelerating retail supply chain performance against pandemic disruption: adopting resilient strategies to mitigate the long-term effects

M Sharma, S Luthra, S Joshi, A Kumar - Journal of Enterprise …, 2021 - emerald.com
Purpose Coronavirus disease 2019 (COVID-19) has disrupted global supply chains,
revealing dreadful gaps and exposing vulnerabilities. Retailers are challenged to tackle …

Impact of COVID-19 on the customer end of retail supply chains: A big data analysis of consumer satisfaction

P Brandtner, F Darbanian, T Falatouri, C Udokwu - Sustainability, 2021 - mdpi.com
The COVID-19 pandemic has been one of the biggest disruptive events of recent decades
and has had a global effect on society and the economy. The political regulations resulting …

Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19

I Kazancoglu, M Ozbiltekin-Pala, SK Mangla… - Annals of Operations …, 2023 - Springer
In rapidly changing business conditions, it has become extremely important to ensure the
sustainability of supply chains and further improve the resiliency to those events, such as …

Synchroperation in industry 4.0 manufacturing

D Guo, M Li, Z Lyu, K Kang, W Wu, RY Zhong… - International journal of …, 2021 - Elsevier
Industry 4.0 connotes a new industrial revolution with the convergence between physical
and digital spaces, which is revolutionizing the way that production operations are …

Predictive analytics for demand forecasting–a comparison of SARIMA and LSTM in retail SCM

T Falatouri, F Darbanian, P Brandtner… - Procedia Computer …, 2022 - Elsevier
The application of predictive analytics (PA) in Supply Chain Management (SCM) has
received growing attention over the last years, especially in demand forecasting. The …

Sustainable supply chain management trends in world regions: A data-driven analysis

FM Tsai, TD Bui, ML Tseng, MH Ali, MK Lim… - Resources …, 2021 - Elsevier
This study proposes a data-driven analysis that describes the overall situation and reveals
the factors hindering improvement in the sustainable supply chain management field. The …

Omnichannel retailing: exploring future research avenues in retail marketing and distribution management

N Sharma, N Dutta - International Journal of Retail & Distribution …, 2023 - emerald.com
Omnichannel retailing: exploring future research avenues in retail marketing and distribution
management | Emerald Insight Books and journals Case studies Expert Briefings Open …

Leveraging digital technology in retailing business: Unboxing synergy between omnichannel retail adoption and sustainable retail performance

MS Vhatkar, RD Raut, R Gokhale, M Kumar… - Journal of Retailing and …, 2024 - Elsevier
The retail industry is undergoing a significant transformation driven by digital technology.
Among the key challenges retailers face are the rise of e-commerce, changing customer …