LogForum - Tom Vol. 20, no. 2 (2024) - BazTech - Yadda

Tom - szczegóły

Tytuł artykułu

Vol. 20, no. 2

Czasopismo

LogForum

Wydawca

Wyższa Szkoła Logistyki

Rocznik

2024

Identyfikatory

Zawartość wolumenu

Vol. 20, no. 2
- artykuł: Forging a sustainable path: unleashing collaborative innovation to expedite the integration of green technologies into supply chains (Chen Chao, Panichakarn Boonsub, Tseng Yafen), s. 133--147
- artykuł: Lead time prediction using advanced deep learning approaches: a case study in the textile industry (Fri Mouhsene), s. 149--159
- artykuł: Real-time visibility as a catalyst for operational enhancements (Wyciślak Sławomir), s. 161--174
- artykuł: Using MCDM methods to optimise machine learning decisions for supply chain delay prediction: a stakeholder-centric approach (Wyrembek Mateusz, Baryannis George), s. 175--189
- artykuł: Consumer perception towards traceable dairy products: an empirical study (Malik Mohit, Gahlawat Vijay Kumar, Mor Rahul, Kharub Manjeet), s. 191--207
- artykuł: Unlocking consumer trust: exploring key factors in blockchain-enabled traceability for the processed food supply chain (Vern Priyanka, Panghal Anupama, Dilbaghi Ananya N., Mor Rahul S., Muduli Kamalakanta, Dabo Al-Amin), s. 209--226
- artykuł: New approaches to modeling resilient decisions under deep uncertainty to manage the downstream supply chain (Bais Abdellah, Amechnoue Khalid), s. 227--242
- artykuł: Big data capability and supply chain performance: the mediating effect of supply chain resilience and the moderating effect of environmental uncertainty (Feng Mengying, Zhou Mengsha, Matejun Marek), s. 243--262
- artykuł: Optimal deterioration control and greening level policies for perishable products under carbon tax (Katariya Dharmesh K., Shukla Kunal Tarunkumar, Abhangi Nikhilkumar D., Bhatt Sandip H.), s. 263--279