The job answer consists of a proposal represented by a Proposal agent. The Job agents receive the call, process the reply, and return their availability. Each job agent contains two additional populations, essential for the work of the Job Shop system: operations and transitions. Jobs are the objects that undergo machining to become, at the end of the technological cycle, finished products. Resources represent the entities responsible for processing the product (e.g. In the production planning and scheduling model, two populations of agents are represented as resources and jobs. Production planning and scheduling simulation modelĪ multi-method approach based on Discrete Event Simulation (DES) and Multi-Agent Systems (MAS) was used to develop the simulation model, using the AnyLogic 8.5.2 as simulation software. Then, the research team proposes a newly dispatching rule for the order admittance in a semi-heterarchical job-shop environment for the lowest machine level.

This work aims to extend the decentralized scheduling and planning approach to a job-shop production system.ĭue to the complexity of a Job-Shop Scheduling Problem, the researchers firstly introduce a parametric simulation model to represent a generic job-shop system. In recent years, with the advent of Industry 4.0, the concepts of Cyber-Physical System and Internet of Things arise, allowing to shift from a classical hierarchical approach to the Manufacturing Planning and Control (MPC) system to a new class of more decentralized architecture.

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