An Introduction to the Special Issue “Recent advances on supply chain network design"

• Autorzy: Lotfi Reza , Weber Gerhard-Wilhelm

Identyfikatory

DOI

10.2478/fcds-2022-0017

• Języki publikacji: EN

Abstrakty

EN

Discussions of the resiliency, sustainability, and agility of supply chains are important in the research and management of supply chains in these difficult times, considering the ongoing pandemic of COVID-19. A viable supply chain is often characterized by resiliency, sustainability, and agility in its network design. Resiliency is essential because disruption and demand fluctuations are forced upon SCs, and the effects of these for many managerial supply chains are unknown. In addition, applying novel technology in the supply chain, such as blockchain, Internet-of-Things (IoT), and artificial intelligence (AI) as agility tools can assist and enable the transition to lean production. This special issue of the Foundations of Computing and Decision Sciences is dedicated to advancements in this fields. Besides, the special issue covers instructional information about OR techniques which are useful for addressing real-world applications on such challenges.

Słowa kluczowe

EN

COVID-19; artificial intelligence; Internet-of-Things

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2022
• Tom: Vol. 47, No. 4
• Strony: 323--326
• Opis fizyczny: Bibliogr. 22 poz.

Twórcy

autor

Lotfi Reza

• Yazd University, Yazd, Iran

• https://orcid.org/0000-0001-5868-8467

autor

Weber Gerhard-Wilhelm

• Poznan University of Technology, Poland
• METU, Ankara, Turkey

• https://orcid.org/0000-0003-0849-7771

Bibliografia

• [1] Abbasi, S., Khalili, H.A., Daneshmand-Mehr, M., Hajiaghaei-Keshteli, M. Performance Measurement of the Sustainable Supply Chain During the COVID-19Pandemic: A real-life case study.
• [2] Ahmed, A. A. A., Singhal, S., Prakaash, A. S., Dayupay, J., Rahadi, I., Marhoon,H. A., Iswanto, A. H., Abbas, S. F., Aravindhan, S. A mathematical model for the vehicles routing problem with multiple depots, considering the possibility of return using the tabu search algorithm, in the special issue “Recent advances on supply chain network design” of Foundations of Computing and Decision Sciences.
• [3] Assiddiqi, M. A., Anantadjaya. S. Pd., Ahmad, I., Le, K., A. Iswanto. H., Trung,N. D., Al-Sudani. A. Q. A. S., Huy, D. T. N., Mutlak, D. A., Integrated pricing and inventory control for perishable products, taking into account the lack of backlog and inventory management policy by the seller, in the special issue “Recent advances on supply chain network design” of Foundations of Computing and Decision Sciences.
• [4] Babaee Tirkolaee, E., Goli, A., Faridnia, A., Soltani, M., Weber, G. W. (2020).Multi-objective optimization for the reliable pollution-routing problem with cross-dock selection using Pareto-based algorithms. Journal of Cleaner Production, 276,122927.
• [5] Babaee Tirkolaee, E., Mardani, A., Dashtian, Z., Soltani, M., Weber, G. W.(2020). A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design. Journal of Cleaner Production, 250, 119517.
• [6] Babaeinesami, A., Ghasemi, P., Chobar A. P., Sasouli, M. R., Lajevardi, M. A. New Wooden Supply Chain Model for Inventory Management Considering Environmental Pollution: A Genetic algorithm, in the special issue “Recent advances on supply chain network design” of Foundations of Computing and Decision Sciences.
• [7] Belen, S., Kropat, E., Weber, G W. (2011). On the classical Maki–Thompson rumour model in continuous time. Cent Eur J Oper Res 19, 1–17.
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• [9] Darmawan, D., Kurniady, D. A., Komariah, A., Tamam, B., Muda, I., Pallathadka, H., Introduce a new mathematical approach to inventory management in production processes under constrained conditions, in the special issue “Re-cent advances on supply chain network design” of Foundations of Computing and Decision Sciences
• [10] Grobelny, J., Michalski, R., and Weber, G.W. (2021). Modeling human think-ing about similarities by neuromatrices in the perspective of fuzzy logic. NeuralComputing and Applications, 33(11), 5843-5867.
• [11] Gürbüz, B., Mawengkang, H., Husein, I., Gerhard-Wilhelm Weber (2022). Rumour propagation: an operational research approach by computational and information theory. Central Eur. J. Oper. Res. 30(1): 345-365.
• [12] Ivanov, D. Viable supply chain model: integrating agility, resilience and sustain-ability perspectives - lessons from and thinking beyond the COVID-19 pandemic. Ann. Oper. Res. 2020, 1–21.
• [13] Kalaycı, B., Özmen, A., Weber, G. W. (2020). Mutual relevance of investor sentiment and finance by modeling coupled stochastic systems with MARS. Annals of Operations Research, 295(1), 183-206.
• [14] Lotfi, R., Mehrjerdi, Y.Z., Pishvaee, M.S., Sadeghieh, A., Weber, G.-W. A robust optimization model for sustainable and resilient closed-loop supply chain network design considering conditional value at risk. Numer. Algebra Control Optim. 2021,11, 221.
• [15] Lotfi, R., Mardani, N., Weber, G.W. Robust bi-level programming for renewable energy location. Int. J. Energy Res. 2021, 45, 7521–7534.
• [16] Lotfi, R., Yadegari, Z., Hosseini, S. H., Khameneh, A. H., Tirkolaee, E. B., Weber, G.-W. A robust time-costquality-energy-environment trade-off with resource-constrained in project management: A case study for a bridge construction project. J. Ind. Manag. Optim. 2020, doi:10.3934/jimo.2020158.
• [17] Lotfi, R., Kargar, B., Hoseini, S. H.; Nazari, S., Safavi, S., Weber, G. W. Resilience and sustainable supply chain network design by considering renewable energy. Int. J. Energy Res. doi:10.1002/er.6943.
• [18] Lotfi, R., Safavi, S., Gharehbaghi, A., Ghaboulian Zare, S., Hazrati, R., Weber,G. W. (2021). Viable Supply Chain Network Design by considering Blockchain Technology and Cryptocurrency. Mathematical Problems in Engineering, 2021.
• [19] Lotfi, R., Kargar, B., Gharehbaghi, A., Weber, G. W. (2021). Viable medical waste chain network design by considering risk and robustness. Environmental Science and Pollution Research, 1-16.
• [20] Shayannia, S. A., Planning the location of facilities in the supply chain using the firefly meta-innovation algorithm, in the special issue “Recent advances on supply chain network design” of Foundations of Computing and Decision Sciences.
• [21] Trung, N. D., Huy D. T. N, Chetthamrongchai, P, Mohsen, K. S., Iskandar, A.S., Nurjaya, A., Sunarsi, D., Singh. K., Chupradit, S., Optimizing the interaction between two closed-loop supply chains based on inverse logistics using the game theory method, in the special issue “Recent advances on supply chain network design” of Foundations of Computing and Decision Sciences.
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