Skip to main content
padlock icon - secure page this page is secure

Human immune system inspired framework for disruption handling in manufacturing Process

Buy Article:

$61.00 + tax (Refund Policy)

Disruptions have a direct impact on the process downtime and efficiency pertaining to process industry. Anomalies, in any automated process, have an impeccable impact on consumer-centric values, high rejection of raw materials and cost, thus demanding special attention and techniques to be efficiently dealt with. Human immune system (HIS) presents an astounding example of such system, wherein the disruptions caused by viruses and bacteria are addressed by deploying B and T cells, which either destroys the pathogen (virus or bacteria) by killing it (Phagocytosis) or renders it harmless. Inspired from that, this research proposes a model analogous to HIS for industrial applications, to deal with disruptions. Addressing that, Immune based ontologies are developed for artificial immune system (AIS). This model works on the disruption detection and isolation with automatic response generation. Furthermore, the proposed model is capable of handling the disruptions in a dynamic way via weight assignment. The final reaction is assessed based on the assigned weights. Ontology was developed using Protégé (software). Experimentation was carried out in a controlled laboratory environment on a test bed by analysing 15 input/outputs (IOs) influencing the process downtime, system efficiency and consumer centric value.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Disruption detection and identification; fault tolerant system; manufacturing process; ontology

Document Type: Research Article

Affiliations: 1: Department of Mechatronics, University of Engineering and Technology, Peshawar, Pakistan 2: Faculty of Mechanical Engineering at CE&ME, National University of Sciences and Technology (NUST), Rawalpindi, Pakistan

Publication date: November 2, 2019

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more