Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/6592
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lei, Tengfei | en_US |
dc.contributor.author | Prof. LI Yi Man, Rita | en_US |
dc.contributor.author | Fu, Haiyan | en_US |
dc.date.accessioned | 2021-05-13T09:00:05Z | - |
dc.date.available | 2021-05-13T09:00:05Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Mathematical Problems in Engineering, 2021, vol. 2021, article ID 5516703. | en_US |
dc.identifier.issn | 1024-123X | - |
dc.identifier.issn | 1563-5147 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11861/6592 | - |
dc.description | Open access | en_US |
dc.description.abstract | Inventory management is complex nonlinear systems that are affected by various external factors, including course human action and policy. We study the inventory management model under special circumstances and analyse the equilibrium point of the system. The dynamics of the system is analysed by means of the eigenvalue trajectory, bifurcations, chaotic attractor, and largest Lyapunov exponent diagram. At the same time, according to the definition of fractional calculus, the fractional approximate entropy is used to analyse the system, and the results are consistent with those of the largest Lyapunov exponent diagram, which shows the effectiveness of this method. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Mathematical Problems in Engineering | en_US |
dc.title | Dynamics analysis and fractional-order approximate entropy of nonlinear inventory management systems | en_US |
dc.type | Peer Reviewed Journal Article | en_US |
dc.identifier.doi | 10.1155/2021/5516703 | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Department of Economics and Finance | - |
Appears in Collections: | Economics and Finance - Publication |
SCOPUSTM
Citations
17
checked on Mar 30, 2025
Page view(s)
102
Last Week
1
1
Last month
checked on Apr 3, 2025
Google ScholarTM
Impact Indices
Altmetric
PlumX
Metrics
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.