Add to ORKGThis working paper describes a process to develop an agent-based simulation of dairy supply chain in Indonesia. The discussion begins by describing the situation in the case study area. Then we explain the assumptions used in to develop agent-based simulation in this study. The simulation experiments show that the agent-based simulation can produce outputs that resemble the patterns in the real-world data. This paper ends by discussing the conclusions and plan for further research
Agri-food supply chains (ASCs) are becoming increasingly complex, and its actors are in need of soph...
Gaining insight on the effect of policies upon the agricultural domain is essential for policy maker...
Agent-based modeling (ABM) enables an in silico representation of complex systems and captures agent...
Agent-based simulation (ABS) is one of the preferred methods to model supply chains, especially when...
Simulating decision-making process of agents of supply chain is affected by various economic and soc...
Agri-food supply chains (ASC) are an important application domain for Operational Research/Managemen...
International audienceSimulations help to understand and predict the behaviour of complex phenomena'...
Contemporary Supply Chain (SC) networks are complex and dynamic environments comprising of stakehold...
Simulations help to understand and predict the behaviour of complex phenomena's, likewise distribute...
Simulations help to understand and predict the behaviour of complex phenomena?s, likewise distribute...
This study aims to simulate the effects of contract farming and farmer commitment to contract farmin...
The purpose of this paper is mainly to understand the behavior of domestic beef productionthrough es...
A scenario-based questionnaire is a survey method that aims to identify the respondents' decision ru...
Simulations help to understand and predict the behaviour of complex phenomena’s, likewise distribute...
Agent-based simulation is considered a promising approach for supply chain (SC) planning, configurat...
Agri-food supply chains (ASCs) are becoming increasingly complex, and its actors are in need of soph...
Gaining insight on the effect of policies upon the agricultural domain is essential for policy maker...
Agent-based modeling (ABM) enables an in silico representation of complex systems and captures agent...
Agent-based simulation (ABS) is one of the preferred methods to model supply chains, especially when...
Simulating decision-making process of agents of supply chain is affected by various economic and soc...
Agri-food supply chains (ASC) are an important application domain for Operational Research/Managemen...
International audienceSimulations help to understand and predict the behaviour of complex phenomena'...
Contemporary Supply Chain (SC) networks are complex and dynamic environments comprising of stakehold...
Simulations help to understand and predict the behaviour of complex phenomena's, likewise distribute...
Simulations help to understand and predict the behaviour of complex phenomena?s, likewise distribute...
This study aims to simulate the effects of contract farming and farmer commitment to contract farmin...
The purpose of this paper is mainly to understand the behavior of domestic beef productionthrough es...
A scenario-based questionnaire is a survey method that aims to identify the respondents' decision ru...
Simulations help to understand and predict the behaviour of complex phenomena’s, likewise distribute...
Agent-based simulation is considered a promising approach for supply chain (SC) planning, configurat...
Agri-food supply chains (ASCs) are becoming increasingly complex, and its actors are in need of soph...
Gaining insight on the effect of policies upon the agricultural domain is essential for policy maker...
Agent-based modeling (ABM) enables an in silico representation of complex systems and captures agent...