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

Lotfi, Reza; Weber, Gerhard-Wilhelm

doi:10.2478/fcds-2022-0017

Abstract

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.

References

[1] Abbasi, S., Khalili, H.A., Daneshmand-Mehr, M., Hajiaghaei-Keshteli, M. Performance Measurement of the Sustainable Supply Chain During the COVID-19 Pandemic: A real-life case study
Search in Google Scholar Back to article
[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.
Search in Google Scholar Back to article
[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.
Search in Google Scholar Back to article
[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, 122927.10.1016/j.jclepro.2020.122927
Search in Google Scholar Back to article
[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, 119517.10.1016/j.jclepro.2019.119517
Search in Google Scholar Back to article
[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.
Search in Google Scholar Back to article
[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, 1–17.10.1007/s10100-009-0120-4
Search in Google Scholar Back to article
[8] Chetthamrongchai, P., Dayupay, J., Alshiqi, S., Alghazali, T. A. H., Iswanto, A. H., Cavaliere, L. P. L., Al-Nussairi, A. K. J., Mohmmed, K. H., Kadhim, M. M. Design a Mathematical Planning Approach to Optimize the Supply Chain Taking Into Account Uncertainties In Distributors, in the special issue “Recent advances on supply chain network design” of Foundations of Computing and Decision Sciences.
Search in Google Scholar Back to article
[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 “Recent advances on supply chain network design” of Foundations of Computing and Decision Sciences.
Search in Google Scholar Back to article
[10] Grobelny, J., Michalski, R., and Weber, G.W. (2021). Modeling human thinking about similarities by neuromatrices in the perspective of fuzzy logic. NeuralComputing and Applications, 33(11), 5843-5867.10.1007/s00521-020-05363-y
Search in Google Scholar Back to article
[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): 345-365.10.1007/s10100-020-00727-0
Search in Google Scholar Back to article
[12] Ivanov, D. Viable supply chain model: integrating agility, resilience and sustainability perspectives - lessons from and thinking beyond the COVID-19 pandemic. Ann. Oper. Res. 2020, 1–21.10.1007/s10479-021-04181-2831220134334863
Search in Google Scholar Back to article
[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), 183-206.10.1007/s10479-020-03757-8
Search in Google Scholar Back to article
[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, 221.10.3934/naco.2020023
Search in Google Scholar Back to article
[15] Lotfi, R., Mardani, N., Weber, G.W. Robust bi-level programming for renewable energy location. Int. J. Energy Res. 2021, 45, 7521–7534.10.1002/er.6332
Search in Google Scholar Back to article
[16] Lotfi, R., Yadegari, Z., Hosseini, S. H., Khameneh, A. H., Tirkolaee, E. B., Weber, G.-W. A robust time-costquality-energy-environment trade-o with resource-constrained in project management: A case study for a bridge construction project. J. Ind. Manag. Optim. 2020, doi: 10.3934/jimo.2020158.
Open DOI Search in Google Scholar Back to article
[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.
Open DOI Search in Google Scholar Back to article
[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, 2021.10.1155/2021/7347389
Search in Google Scholar Back to article
[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, 1-16.10.21203/rs.3.rs-765430/v1
Search in Google Scholar Back to article
[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.
Search in Google Scholar Back to article
[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.
Search in Google Scholar Back to article
[22] Zare Mehrjerdi, Y., Lotfi, R. Development of a mathematical model for sustainable closed-loop supply chain with efficiency and resilience systematic framework. Int. J. Supply Oper. Manag. 2019, 6, 360–388.
Search in Google Scholar Back to article

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

Abstract

Paradigm

My account