Learn More
Real time supply chain management in a rapidly changing environment requires reactive and dynamic collaboration among participating entities. In this work, we model supply chain as a multi agent system where agents are subject to an adjustable autonomy. The autonomy of an agent refers to its capability and capacity to make decisions within a multi-agent(More)
In this paper, we discuss the problem of route planning and scheduling by a group of agents. Each agent is responsible for designing a route plan and schedule over a geographical network, and the goal is to obtain a conflict-free plan/schedule that optimizes a global objective. We present a hybrid conflict resolution method that involves coalition formation(More)
This paper discusses the feasibility of third party governance on the buyer, manufacturer and supplier triad, through a literature review and an in-depth discussion. We argue that comparing between manufacturer and third party governance, third party governance can function well only if the supply chain is characterized by a low intensity of interaction and(More)
In a rapidly changing environment, the behavior and decision-making power of agents may have to be adaptive with respect to a fluctuating autonomy. In this paper, a centralized fuzzy approach is proposed to sense changes in environmental conditions and translate them to changes in agent autonomy. A distributed coalition formation scheme is then applied to(More)
In this paper, we describe an interesting driver assignment problem that is computationally intensive to solve due to its combinatorial nature. A hybrid approach involving mixed integer programming (MIP) and a heuristic is used to give good solutions to the problem within reasonable computation time. This approach attempts to utilize the strengths of MIP to(More)
  • 1