Distributed scheduling (DS) is an approach that enables local decision makers to create
schedules that consider local objectives and constraints within the boundaries of the overall …

In most real manufacturing environments, schedules are usually inevitable with the
presence of various unexpected disruptions. In this paper, a rescheduling method based on …

ABSTRACT Cloud Manufacturing (CMfg) is a promising approach that leverages the sharing
economy to reduce costs and enhance supply chain flexibility. Particularly, when utilised …

There are many dynamic events like new order arrivals, machine breakdowns, changes in
due dates, order cancellations, arrival of urgent orders etc. that makes static scheduling …

This paper presents an agent-based fuzzy constraint-directed negotiation (AFCN)
mechanism to solve distributed job shop scheduling problems (JSSPs). The scheduling …

Multi-agent-based proactive–reactive scheduling for job shops is presented, aiming to
hedge against the uncertainties of dynamic manufacturing environments. This scheduling …

This paper focuses on the multi-agent parallel machines scheduling problem with consumer
agents and resource agents. Within the context, all the agents are self-interested aiming at …

This paper addresses a multi-agent scheduling problem with uniform parallel machines
owned by a resource agent and competing jobs with dynamic arrival times that belong to …

This paper is an updated review of the state of the art in distributed multiagent based
scheduling as one element of intelligent manufacturing. It re-examines the most relevant …

Steel production is an extremely complex process and determining coherent schedules for
the wide variety of production steps in a dynamic environment, where disturbances …