The Dynamic Broker Dominant Supply-Demand Matching Decision Using Multiagent System
Supply-demand matching is critical for the increase of response speed, the improvement of resource utilization, and the building of long-term partnership. This study will contribute to the present supply-demand matching studies by (1) summarizing the dynamic broker dominant supply-demand matching pr...
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2020-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/4073273 |
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doaj-438b102c049e4438904301c527f5ccdb2020-11-25T02:53:42ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472020-01-01202010.1155/2020/40732734073273The Dynamic Broker Dominant Supply-Demand Matching Decision Using Multiagent SystemXu Zhang0Xu-mei Yuan1Fu-li Wei2School of Economics and Management, Yanshan University, Qinhuangdao, Hebei, ChinaSchool of Economics and Management, Yanshan University, Qinhuangdao, Hebei, ChinaSchool of Economics and Management, Yanshan University, Qinhuangdao, Hebei, ChinaSupply-demand matching is critical for the increase of response speed, the improvement of resource utilization, and the building of long-term partnership. This study will contribute to the present supply-demand matching studies by (1) summarizing the dynamic broker dominant supply-demand matching problem (B-SDMP), (2) proposing the dynamic broker dominant supply-demand matching approach, inclusive of (a) the building of the distributed constraint satisfaction model based on the dynamic negotiation among agents and (b) the design of an asynchronous backtracking algorithm according to interaction among agents, and (3) the design and development of a multiagent dynamic supply-demand matching system. To verify the validity and usability of the method, the system test and case simulation are conducted. The matching solutions yielded from this B-SDMP analysis can help the buyers find the appropriate sellers on one commodity/service under dynamic environment and stimulate the building of long-term partnership among the sellers, buyers, and broker as a stable supply chain.http://dx.doi.org/10.1155/2020/4073273 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xu Zhang Xu-mei Yuan Fu-li Wei |
spellingShingle |
Xu Zhang Xu-mei Yuan Fu-li Wei The Dynamic Broker Dominant Supply-Demand Matching Decision Using Multiagent System Mathematical Problems in Engineering |
author_facet |
Xu Zhang Xu-mei Yuan Fu-li Wei |
author_sort |
Xu Zhang |
title |
The Dynamic Broker Dominant Supply-Demand Matching Decision Using Multiagent System |
title_short |
The Dynamic Broker Dominant Supply-Demand Matching Decision Using Multiagent System |
title_full |
The Dynamic Broker Dominant Supply-Demand Matching Decision Using Multiagent System |
title_fullStr |
The Dynamic Broker Dominant Supply-Demand Matching Decision Using Multiagent System |
title_full_unstemmed |
The Dynamic Broker Dominant Supply-Demand Matching Decision Using Multiagent System |
title_sort |
dynamic broker dominant supply-demand matching decision using multiagent system |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2020-01-01 |
description |
Supply-demand matching is critical for the increase of response speed, the improvement of resource utilization, and the building of long-term partnership. This study will contribute to the present supply-demand matching studies by (1) summarizing the dynamic broker dominant supply-demand matching problem (B-SDMP), (2) proposing the dynamic broker dominant supply-demand matching approach, inclusive of (a) the building of the distributed constraint satisfaction model based on the dynamic negotiation among agents and (b) the design of an asynchronous backtracking algorithm according to interaction among agents, and (3) the design and development of a multiagent dynamic supply-demand matching system. To verify the validity and usability of the method, the system test and case simulation are conducted. The matching solutions yielded from this B-SDMP analysis can help the buyers find the appropriate sellers on one commodity/service under dynamic environment and stimulate the building of long-term partnership among the sellers, buyers, and broker as a stable supply chain. |
url |
http://dx.doi.org/10.1155/2020/4073273 |
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