Citations (15)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (10)
Zied Bahroun, Abdulrahim Shamayleh, Rami As’ad & Rim Zakaria. (2023) A user-induced proactive-reactive scheduling tool for dynamic flow-shop environments. International Journal of Systems Science: Operations & Logistics 10:1.
Read now
Read now
Tomás Hipólito, João Lemos Nabais, Rafael Carmona-Benítez, Miguel Ayala Botto & Rudy R. Negenborn. (2022) A centralised model predictive control framework for logistics management of coordinated supply chains of perishable goods. International Journal of Systems Science: Operations & Logistics 9:1, pages 1-21.
Read now
Read now
Andrea Grassi, Guido Guizzi, Liberatina Carmela Santillo & Silvestro Vespoli. (2021) Assessing the performances of a novel decentralised scheduling approach in Industry 4.0 and cloud manufacturing contexts. International Journal of Production Research 59:20, pages 6034-6053.
Read now
Read now
Alexandre Dolgui, Dmitry Ivanov & Boris Sokolov. (2020) Reconfigurable supply chain: the X-network. International Journal of Production Research 58:13, pages 4138-4163.
Read now
Read now
Lai-Wan Wong, Garry Wei-Han Tan, Voon-Hsien Lee, Keng-Boon Ooi & Amrik Sohal. (2020) Unearthing the determinants of Blockchain adoption in supply chain management. International Journal of Production Research 58:7, pages 2100-2123.
Read now
Read now
Alexandre Dolgui, Dmitry Ivanov, Semyon Potryasaev, Boris Sokolov, Marina Ivanova & Frank Werner. (2020) Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain. International Journal of Production Research 58:7, pages 2184-2199.
Read now
Read now
Sara Saberi, Mahtab Kouhizadeh, Joseph Sarkis & Lejia Shen. (2019) Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research 57:7, pages 2117-2135.
Read now
Read now
Dmitry Ivanov, Alexandre Dolgui & Boris Sokolov. (2019) The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research 57:3, pages 829-846.
Read now
Read now
Dmitry Ivanov, Alexandre Dolgui & Boris Sokolov. (2018) Scheduling of recovery actions in the supply chain with resilience analysis considerations. International Journal of Production Research 56:19, pages 6473-6490.
Read now
Read now
Dmitry Ivanov, Alexandre Dolgui, Boris Sokolov, Frank Werner & Marina Ivanova. (2016) A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0. International Journal of Production Research 54:2, pages 386-402.
Read now
Read now
Articles from other publishers (5)
Chi Zhang, Xiaoxi Yi & Guicai Yu. (2023) Intelligent Dynamic Scheduling-Based Extended Min-Sum LDPC Decoding Algorithm in Cyber-Physical Systems. IEEE Systems Journal, pages 1-9.
Crossref
Crossref
Zakharov Valerii. 2022. System Analysis in Engineering and Control. System Analysis in Engineering and Control
487
497
.
Boris V. Sokolov, Valerii V. Zakharov, Alexey V. Krylov & Vladimir I. Salukhov. 2022. Proceedings of the Fifth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’21). Proceedings of the Fifth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’21)
610
618
.
Dmitry Ivanov & Boris Sokolov. 2019. Handbook of Ripple Effects in the Supply Chain. Handbook of Ripple Effects in the Supply Chain
129
144
.
Cheng Xu & Zhang Yu-Shi. (2016) Research Service Discovery Mechanism Based on Route Optimization of Big Data Service. Research Service Discovery Mechanism Based on Route Optimization of Big Data Service.