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A coordinated optimization model of the complex system of the green supply chain distribution network. (English) Zbl 1471.90025

Summary: A well-established distribution network is fundamental to the sound management of the green supply chain. To adapt to the market demand and policies for green products, it is urgent to build an efficient and rational logistic distribution network for the green supply chain. Many researchers have tried to design distribution networks through the coordinated optimization of the green supply chain, in the light of realistic situation. However, there are very few optimization models that consider all kinds of influencing factors. To solve the problem, this paper attempts to establish a coordinated optimization model of the complex system of the green supply chain distribution network (GSCDN). Firstly, the authors plotted the structure and game logic of the GSCDN and defined the upper limit of sales induced by the limited production capacity of producers. Secondly, the coordinated optimization conditions were configured for the distributor layer, producer layer, and market demand layer, and a coordinated optimization model was set up for the complex system. Finally, the contractual coordinated optimization mechanism was detailed for the complex system under the profit-sharing contract. The proposed model and solving algorithm were proved valid through experiments.

MSC:

90B06 Transportation, logistics and supply chain management

References:

[1] Lan, C., A coordination contract for green agricultural product supply chain with stochastic output, Journal Européen des Systèmes Automatisés, 52, 4, 347-354 (2019) · doi:10.18280/jesa.520403
[2] Huo, D. X.; Xiao, X. J.; Pan, Y. J., Multi-objective energy-saving job-shop scheduling based on improved NSGA-II, International Journal of Simulation Modelling, 19, 3, 494-504 (2020) · doi:10.2507/ijsimm19-3-co12
[3] Wei, D., Modeling and simulation of a multi-agent green supply chain management system for retailers, Journal Européen des Systèmes Automatisés, 53, 4, 549-557 (2020) · doi:10.18280/jesa.530414
[4] Wang, Y.; Zhang, J.; Guan, X.; Xu, M.; Wang, Z.; Wang, H., Collaborative multiple centers fresh logistics distribution network optimization with resource sharing and temperature control constraints, Expert Systems with Applications, 165 (2021) · doi:10.1016/j.eswa.2020.113838
[5] Quang, H. N.; Huu, T. D., Factors preventing the way to success of the retail supply chain, Journal of System and Management Sciences, 9, 2, 114-122 (2019)
[6] Freile, A. J.; Mula, J.; Campuzano-Bolarin, F., Integrating inventory and transport capacity planning in a food supply chain, International Journal of Simulation Modelling, 19, 3, 434-445 (2020) · doi:10.2507/ijsimm19-3-523
[7] Aleksic, A.; Runic Ristic, M.; Komatina, N.; Tadic, D., Advanced risk assessment in reverse supply chain processes: a case study in Republic of Serbia, Advances in Production Engineering & Management, 14, 4, 421-434 (2019) · doi:10.14743/apem2019.4.338
[8] Shen, X. W.; Zhu, S. Z.; Zheng, J. H.; Han, Y. D.; Li, Q. S.; Nong, J., Active distribution network planning-operation co-optimization considering the coordination of ESS and DG, Power System Technology, 39, 7, 1913-1920 (2015)
[9] Zhu, Y.; Wang, J.; Li, M., Collaborative distribution in the soft time window of agricultural-means supply chain based on simulated annealing-genetic algorithm, Journal Européen des Systèmes Automatisés, 53, 6, 835-844 (2020) · doi:10.18280/jesa.530609
[10] Ali, A.; Keerio, M. U.; Laghari, J. A., Optimal site and size of distributed generation allocation in radial distribution network using multi-objective optimization, Journal of Modern Power Systems and Clean Energy, 9, 2, 404-415 (2020)
[11] De Corte, A.; Sörensen, K., An Iterated Local Search Algorithm for multi-period water distribution network design optimization, Water, 8, 8, 359 (2016) · doi:10.3390/w8080359
[12] Injeti, S. K.; Thunuguntla, V. K.; Shareef, M., Optimal allocation of capacitor banks in radial distribution systems for minimization of real power loss and maximization of network savings using bio-inspired optimization algorithms, International Journal of Electrical Power & Energy Systems, 69, 441-455 (2016)
[13] Markana, A.; Trivedi, G.; Bhatt, P., Multi-objective optimization based optimal sizing & placement of multiple distributed generators for distribution network performance improvement, RAIRO-Operations Research, 55, 2, 899-919 (2021) · Zbl 1472.90124 · doi:10.1051/ro/2021045
[14] AlAhmad, O.; AlDahmi, M., A review of operation planning and distribution network optimization of AADC network, Proceedings of the 2021 IEEE International Conference in Power Engineering Application (ICPEA)
[15] Munasinghe, I. U.; Rupasinghe, T. D., A supply chain network design optimization model from the perspective of a retail distribution supply chain, Proceedings of the 2016 Manufacturing & Industrial Engineering Symposium (MIES)
[16] Mosbah, M.; Mohammedi, R. D.; Arif, S.; Hellal, A., Optimal of shunt capacitor placement and size in Algerian distribution network using particle swarm optimization, Proceedings of the 2016 8th International Conference on Modelling, Identification and Control (ICMIC) · doi:10.1109/icmic.2016.7804297
[17] Holjevac, N.; Zidar, M.; Kuzle, I., Techno-economic assessment and optimization of the energy storage unit in the distribution network, Proceedings of the IEEE EUROCON 2019-18th International Conference on Smart Technologies · doi:10.1109/eurocon.2019.8861996
[18] Liao, H., Review on distribution network optimization under uncertainty, Energies, 12, 17, 3369 (2019) · doi:10.3390/en12173369
[19] De Corte, A.; Sörensen, K., An iterated local search algorithm for water distribution network design optimization, Networks, 67, 3, 187-198 (2016) · doi:10.1002/net.21673
[20] Li, S.; Yu, T.; Pu, T.; Ming, J.; Fan, S., Coordinated optimization control method of transmission and distribution network,, Proceedings of the 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) · doi:10.1109/appeec.2016.7779880
[21] Siew, C.; Tanyimboh, T. T.; Seyoum, A. G., Penalty-free multi-objective evolutionary approach to optimization of Anytown water distribution network, Water Resources Management, 30, 11, 3671-3688 (2016) · doi:10.1007/s11269-016-1371-1
[22] Rasi, R. E.; Hatami, D., Environmental risk and innovation in supply chain: analysis of influence of supply chain agility, Journal of System and Management Sciences, 9, 3, 1-25 (2019) · doi:10.33168/jsms.2019.0301
[23] Kogler, C.; Rauch, P., Game-based workshops for the wood supply chain to facilitate knowledge transfer, International Journal of Simulation Modelling, 19, 3, 446-457 (2019)
[24] Heidarifar, M.; Andrianesis, P.; Caramanis, M., A Riemannian optimization approach to the radial distribution network load flow problem, Automatica, 129 (2021) · Zbl 1480.90247 · doi:10.1016/j.automatica.2021.109620
[25] Wu, W.; Liu, W.; Zhang, F. N.; Dixit, V., A new flexible parking reservation scheme for the morning commute under limited parking supplies, Networks And Spatial Economics, 96 (2021)
[26] Wu, J.; Shi, C.; Shao, M., Reactive power optimization of a distribution system based on scene matching and deep belief network, Energies, 12, 17, 3246 (2019) · doi:10.3390/en12173246
[27] Monsef, H.; Naghashzadegan, M.; Jamali, A.; Farmani, R., Comparison of evolutionary multi objective optimization algorithms in optimum design of water distribution network, Ain Shams Engineering Journal, 10, 1, 103-111 (2019) · doi:10.1016/j.asej.2018.04.003
[28] Stekelorum, R.; Laguir, I.; Gupta, S.; Kumar, S., Green supply chain management practices and third-party logistics providers’ performances: a fuzzy-set approach, International Journal of Production Economics, 235, 108093 (2021) · doi:10.1016/j.ijpe.2021.108093
[29] Wu, J., Guang Research on decision modeling and management optimization of insurance reserve in logistics center under green supply chain management, Proceedings of the 9th International Conference on Logistics and Systems Engineering
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