A product-driven system with an evolutionary algorithm to increase flexibility in planning a job shop.

ABSTRACT: The scheduling of a job shop production system occurs using models to plan operations for a given period while minimizing the makespan. However, since the resulting mathematical models are computationally demanding, their implementation in the work environment is impractical, a difficulty that increases as the scale problem grows. An alternative approach is to address the problem in a decentralized manner, such that real-time product flow information feeds the control system to minimize the makespan dynamically. Under the decentralized approach, we use a holonic and multiagent systems to represent a product-driven job shop system that allows us to simulate real-world scenarios. However, the computational performance of such systems to control the process in real-time and for different prob

SUBMITTER: Saez P 

PROVIDER: S-EPMC9934420 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature