Generative Modeling of Holonic Manufacturing Execution Systems for Batch Plants

MILAGROS ROLÓN; MERCEDES CANAVESIO,; MARTINEZ, ERNESTO

Computer Aided Chemical Engineering

Elsevier

Lugar: Amsterdam; Año: 2009; p. 795 - 800

Most batch plants are constantly subjected to unplanned disruptive events such as arrivals of rush orders, raw material delays or equipment breakdowns along with a multitude of interactions in the supply chain demanding automatic on-line rescheduling and execution control. For responsiveness and agility at the shop-floor, a holonic batch control architecture based on autonomic units is proposed. A generative modeling of the proposed holonic manufacturing execution system (MES) is presented in order to evaluate its emerging behavior and macroscopic dynamics in a multiproduct batch plant. A simulation model of the proposed holonic MES for a case study was implemented in Netlogo. Different scenarios are considered to assess disturbance rejection capability by the holonic MES. Results obtained are very promising.