Hierarchical Scheduling of Complex Dynamic Supply Chain
Source abstract
Abstract
Green manufacturing (especially the right production scale) and optimization of logistics transportation (especially logistics transportation to ensure economic benefits) have become challenging issues. This paper focuses on production planning and scheduling of dynamic supply chain via H∞ control scheme. This paper considers the production scale control and resource scheduling optimization of complex dynamic supply chain under the impact of the COVID-19 pandemic.Firstly, the information of green manufacturing production is collected, and a new mathematical model of complex dynamic supply chain including multi-level distributor/retailer, multi-delay inventory and multi-lead time is established. Secondly, the optimal resource scheduling scheme is designed based on the principle of H∞ cybernetics, which is called the hierarchical scheduling of complex dynamic supply chain in this paper. Finally, a numerical example shows the effectiveness and feasibility of the proposed scheme. Through this model, the production of manufacturers, the inventory of manufacturers and distributors, and the order quantity of distributors can be arranged in advance, which improves the robustness of the closed-loop dynamic supply chain.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Supply Chain and Inventory Management · Supply Chain Resilience and Risk Management · Sustainable Supply Chain Management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Marxism, Southwest University of Political Science & Law, Yubei, Chongqing 401120, China
School of Automation and Information Engineering, Sichuan University of Science & Engineering, Zigong 643000, China
Funding
Sichuan University of Science and Engineering · Open Foundation of Artificial Intelligence Key Laboratory of Sichuan Province
References (21)
Show source-provided references
1. Optimal pricing policy in a three-layer dual-channel supply chain under government subsidy in green manufacturing10.1016/j.matcom.2022.08.008 ↗
2. Investigating dual-channel green supply chain considering refurbishing process and product recycling with environmental awareness effort10.1016/j.matcom.2022.09.009 ↗
3. Complexity analysis and control of game behavior of subjects in green building materials supply chain considering technology subsidies10.1016/j.eswa.2022.119052 ↗
4. Long-term audit staff scheduling and planning: A case study of Brazilian civil aviation authority10.1016/j.jairtraman.2022.102318 ↗
5. Efficient removal of arsenic from “dirty acid” wastewater by using a novel immersed multi-start distributor for sulphide feeding10.1016/j.seppur.2014.12.029 ↗
6. Two-echelon multi-product multi-constraint product returns inventory model with permissible delay in payments and variable lead time10.1016/j.jmsy.2014.06.006 ↗
7. Water savings with irrigation water management at multi-week lead time using extended range predictions10.1016/j.cliser.2022.100320 ↗
8. A new vaccine supply chain network under COVID-19 conditions considering system dynamic: Artificial intelligence algorithms
9. The ℋ∞ fault-tolerant control of discrete systems with multi-time-delay in the state and control input
10. Bi-level programming for home health care supply chain considering outsourcing
11. Two hybrid meta-heuristic algorithms for a dual-channel closed-loop supply chain network design problem in the tire industry under uncertainty10.1016/j.aei.2021.101418 ↗
12. Research on robust control of inventory system in kitchen electric appliance supply chain network considering multiple lead-times
13. Robust ℋ∞ control of dynamic three-tier uncertain supply chain system with time-delay
14. Robust control of dynamic supply chain considering lead-time compression
15. An investigation of transportation logistics strategy on manufacturing supply chain responsiveness in developing countries: The mediating role of delivery reliability and delivery speed10.1016/j.heliyon.2022.e11283 ↗
16. Robust ℋ∞ control of closed-loop supply chain dynamic model with two-channel
17. Ge, C.C., and Zhu, J.J. (2022). Online and offline collaborative omnichannel retail supply chain system robust control and optimization. Chin. J. Manag. Sci.
18. Manufacturing planning and control driven supply chain risk management: A dynamic capability perspective10.1016/j.tre.2022.102933 ↗
19. Exploring the effects of relationship quality and c-commerce behavior on firms’ dynamic capability and c-commerce performance in the supply chain management context10.1016/j.dss.2022.113865 ↗
20. Delay-range-dependent ℋ∞ synchronization approaches for time-delay chaotic systems10.1080/00207160.2021.1940976 ↗
21. Fuzzy robust control for an uncertain switched dual-channel closed-loop supply chain model10.1109/TFUZZ.2014.2315659 ↗