Exploring Agent-Based Modeling for Emergency Logistics Collaborative Decision Making

Zhang, Li; Qi, Zhi; Hao, Chunfang; Wang, Sen Hua; Ning, Ya Hui; Wang, Qian Zhu

doi:10.4028/www.scientific.net/amr.710.781

Cited by 3 publications

(5 citation statements)

References 9 publications

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“…These techniques and guidelines aim to connect all the parties and improve the efficiency and quality of decision-making. The literature also presents many modeling methods to work out the best collaborative decision-making strategy and forecast the consequence achieved by the decision, such as agent-based modeling [ 41 , 42 ] and the stochastic Petri net [ 43 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Characterizing the Dynamic Evolution of Interagency Collaborative Decision-Making Networks in Response to COVID-19 in China: A Policy Document Analysis

Cheng

Zheng

et al. 2022

Healthcare

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Collaborative decision-making across multiple government agencies is considered a critical and effective strategy to combat public health crisis; however, we know little about how the collaborative decision-making works and evolves during periods of crisis. To fill this lacuna, this study uncovers the structure and evolving dynamics of the network by employing a policy document analysis. Based on the policy documents, jointly issued by the agencies of Chinese central government in four phases regarding COVID-19 control, we first constructed a co-occurrence matrix of policy-issuing agencies to outline the network structure, then drew a breadth–depth matrix to identify the role evolution of agencies, and lastly built a two-mode network consisting of policy topics and agencies to determine the evolution mechanisms of policy attentions for each agency. It was found that the network structure of interagency collaboration involves three forms: discrete structure in the early phase, subgroup structure in the middle phase, and connected structure in the latter phase. Agencies embedded in the network can be categorized into three types: leading agencies, key agencies, and auxiliary agencies, with their constituent members changed as the pandemic risks are gradually becoming under control. Furthermore, each type has its own primary policy attentions, but shares some common foci in all four phases and shifts attention in the emergency management process. This study contributes to shedding light on the formation of and variations in collaborative networks in health emergencies and provides policy implications for other countries that have struggled against COVID-19.

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Section: Literature Reviewmentioning

confidence: 99%

Characterizing the Dynamic Evolution of Interagency Collaborative Decision-Making Networks in Response to COVID-19 in China: A Policy Document Analysis

Cheng

Zheng

et al. 2022

Healthcare

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“…Based on the emergency logistics decision-making process, we have proposed a MAS model for emergency logistics decision making in [10]. In the suggested MAS model, the subordinate agents are classified into the role agent, function agent and assistant agent according to the different roles and function.…”

Section: Emergency Logistics Multi-agent System Architecturementioning

confidence: 99%

Exploring Semi-Autonomous Structure for Emergency Logistics Multi-Agent System

Zhang

Jiang

et al. 2013

AMM

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Due to the command and control relationship in emergency logistics process, the emergency logistics agent shows some semi-autonomous features as it is not completely autonomous. Aiming at the implementation of the semi-autonomous feature, this paper presents a control structure as the basis of communication among the role agents in emergency logistics multi-agent system. The suggested control structure is composed by the controller, communicator and control property set. The control property set and its corresponding ACL primitive is the core of the whole structure for representing the semi-autonomous feature, which can simulate the control behavior in the practical emergency logistics process. By means of the control property set, the controller can set the control property to the preparing information for transmission, and the communicator can encapsulate the preparing information into the FIPA ACL message with the extended control primitive. Finally, an illustrative example of multi-agent communication is proposed to validate the effectiveness of the suggested semi-autonomous structure.

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“…Although the above-mentioned literatures have proved the application feasibility of agent technology in related fields, the research combing emergency logistics with agent-technology is very few. Literature [8] proposes an ontology-based MAS framework for emergency logistics decision making, which includes a conceptual design of whole MAS system architecture and a work flow for collaborative decision process. This paper is a further extension and clarification of Literature [8],…”

Section: Introductionmentioning

confidence: 99%

“…Literature [8] proposes an ontology-based MAS framework for emergency logistics decision making, which includes a conceptual design of whole MAS system architecture and a work flow for collaborative decision process. This paper is a further extension and clarification of Literature [8],…”

Section: Introductionmentioning

confidence: 99%

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Building a Multi-Agent System for Emergency Logistics Collaborative Decision

Zhang

Wang

et al. 2014

AMM

Self Cite

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Currently, the decision making of emergency logistics is faced with increasing challenges caused by deficient information, uncertain requirement and shortest response time. Agent-based modeling and multi-agent system have been proved as a promising ways in this field. Based on the previous work of emergency logistics decision framework, this paper presents a detailed design of agent internal structure of the emergency logistics multi-agent system. Some typical agents, such as logistics entity agent, task distribution agent and ontology visiting agent, are discussed from the composed function modules to the specific implementation. As the illustrative examples, the design of these primary agents can characterizes the basic structure of another agent in the emergency logistics multi-agent system, and it will be considered as the effective reference for system implementation.

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Exploring Agent-Based Modeling for Emergency Logistics Collaborative Decision Making

Cited by 3 publications

References 9 publications

Characterizing the Dynamic Evolution of Interagency Collaborative Decision-Making Networks in Response to COVID-19 in China: A Policy Document Analysis

Characterizing the Dynamic Evolution of Interagency Collaborative Decision-Making Networks in Response to COVID-19 in China: A Policy Document Analysis

Exploring Semi-Autonomous Structure for Emergency Logistics Multi-Agent System

Building a Multi-Agent System for Emergency Logistics Collaborative Decision

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