A (μ, λ)-coordination mechanism for agent-based multi-project scheduling

OR Spectrum ◽  
2009 ◽  
Vol 34 (1) ◽  
pp. 107-132 ◽  
Author(s):  
Jörg Homberger
Keyword(s):  
Project Scheduling ◽  
Coordination Mechanism ◽  
Agent Based

e-Supply Network

2011 ◽  
pp. 250-268
Author(s):  
Shima Mohebbi ◽  
Rasoul Shafaei ◽  
Namjae Cho
Keyword(s):  
Capacity Utilization ◽  
Coordination Mechanism ◽  
Global Network ◽  
Supply Network ◽  
Agent Based ◽  
Network Cost ◽  
Network Coordination ◽  
Supply Capacity ◽  
The Impact ◽  
Total Network

The automation of negotiation among buyer-supplier-supplier triad is an important policy in e-supply network coordination (e-SNC). In addition to the buyer-supplier coordination advantages, a further coordination among suppliers is also highly important in order to maximize the network supply capacity utilization especially when the suppliers are geographically decentralized. This chapter focuses on the impact of suppliers’ coordination in a network where the coordination among buyers and suppliers is in place. The proposed agent-based model is composed of two negotiator agents, one monitor agent, and one coordinator agent. The model begins with buyer-supplier negotiation and coordination mechanism adopted from the approach developed by Mohebbi and Shafaei (2010). Then, the suppliers’ coordination mechanism is developed to investigate the interaction among suppliers and evaluate the subsequent benefit obtained in the global network. The efficiency of the proposed approach is evaluated using a simulation model. The results demonstrate that in a network where the coordination among buyers and suppliers is in place, a further coordination among suppliers leads to the reduction of total network cost.

Agent-based project scheduling: computational study of large problems

2003 ◽  
Vol 35 (2) ◽  
pp. 143-159 ◽  
Author(s):  
GARY KNOTTS ◽  
MOSHE DROR
Keyword(s):  
Project Scheduling ◽  
Computational Study ◽  
Agent Based

Agent-based project scheduling

2000 ◽  
Vol 32 (5) ◽  
pp. 387-401 ◽  
Author(s):  
GARY KNOTTS ◽  
MOSHE DROR ◽  
BRUCE C. HARTMAN
Keyword(s):  
Project Scheduling ◽  
Agent Based

Competitive Co-Ordination Mechanism in the Application of Collaborative Commerce

2010 ◽  
Vol 26-28 ◽  
pp. 149-154
Author(s):  
Chun Hua Ju ◽  
Long Shi
Keyword(s):  
Workflow Management ◽  
Coordination Mechanism ◽  
Collaborative Commerce ◽  
Agent Based ◽  
Business Applications ◽  
Competitive Coordination ◽  
Multi Agent

In this article, we establish a Multi-Agent-based collaborative commerce platform, raised a general collaborative commerce model in chain of retail enterprises, and use a competitive coordination mechanism to realize the workflow management between the centers and subsidiaries, and gives concrete for business applications.

Agent-based web service for the design of a dynamic coordination mechanism in supply networks

2008 ◽  
Vol 20 (6) ◽  
pp. 727-749 ◽  
Author(s):  
Iraj Mahdavi ◽  
Shima Mohebbi ◽  
Mahdi Zandakbari ◽  
Namjae Cho ◽  
Nezam Mahdavi-Amiri
Keyword(s):  
Web Service ◽  
Coordination Mechanism ◽  
Supply Networks ◽  
Agent Based ◽  
Dynamic Coordination

Mount Merapi eruption

2019 ◽  
Vol 9 (2) ◽  
pp. 292-322 ◽  
Author(s):  
Bertha Maya Sopha ◽  
Risqika Edni Doni Achsan ◽  
Anna Maria Sri Asih
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Coordination Mechanism ◽  
Uneven Distribution ◽  
Content Type ◽  
Agent Based ◽  
Last Mile ◽  
Relief Distribution ◽  
Post Disaster

Purpose Uneven distribution and mistarget beneficiaries are among problems encountered during post-disaster relief operations in 2010 Mount Merapi eruption. The purpose of this paper is to develop an empirically founded agent-based simulation model addressing the evacuation dynamics and to explore coordination mechanism and other promising strategies during last-mile relief delivery. Design/methodology/approach An agent-based model which was specified and parameterized by empirical research (interviews and survey) was developed to understand the mechanism of individual decision making underlying the evacuation dynamics. A set of model testing was conducted to evaluate confidence level of the model in representing the evacuation dynamics during post-disaster of 2010 Mount Merapi eruption. Three scenarios of last-mile relief delivery at both strategic and operational levels were examined to evaluate quantitatively the effectiveness of the coordination mechanism and to explore other promising strategies. Findings Results indicate that the empirically founded agent-based modeling was able to reproduce the general pattern of observable Internal Displaced Persons based on government records, both at micro and macro levels, with a statistically non-significant difference. Low hazard perception and leader-following behavior which refuses to evacuate are the two factors responsible for late evacuation. Unsurprisingly, coordination through information sharing results in better performance than without coordination. To deal with both uneven distribution and long-term demand fulfillment, coordination among volunteers during aid distribution (at downstream operation) is not sufficient. The downstream coordination should also be accompanied with coordination between aid centers at the upstream operation. Furthermore, the coordination which is combined with other operational strategies, such as clustering strategy, using small-sized trucks and pre-positioning strategy, seems to be promising. It appears that the combined strategy of coordination and clustering strategy performs best among other combined strategies. Practical implications The significant role of early evacuation and self-evacuation behavior toward efficient evacuation indicates that human factor (i.e. hazard perception and cultural factor) should be considered in designing evacuation plan. Early warning system through both technology and community empowerment is necessary to support early evacuation. The early warning system should also be accompanied with at least 69 percent of the population performing self-evacuation behavior for the effective evacuation. As information sharing through coordination is necessary to avoid redundant efforts, uneven distribution and eventually to reduce unmet demand, the government can act as a coordinating actor to authorize the operation and mobilize the resources. The combination of coordination and another strategy reducing lead time such as clustering analysis, thus increasing responsiveness, is seemly strategy for efficient and effective last-mile relief distribution. Originality/value Literature on coordination is dominated by qualitative approach, which is difficult to evaluate its effectiveness quantitatively. Providing realistic setting of the evacuation dynamics in the course of the 2010 Mount Merapi eruption, the empirically founded agent-based model can be used to understand the factors influencing the evacuation dynamics and subsequently to quantitatively examine coordination mechanisms and other potential strategies toward efficient and effective last-mile relief distribution.

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