Optimization of robotic assembly sequences using immune based technique

Abstract

Purpose The purpose of this paper is to develop a new methodology to find out the best robotic assembly sequence amongst feasible robotic sequences. Design/methodology/approach The feasible robotic assembly sequences were generated based on the assembly constraints and later and artificial immune system (AIS) was implemented to find out the best assembly sequence. Findings The paper reveals the best assembly sequence. Originality/value Robotic assembly has expanded the process capabilities in the manufacturing world because of the fact that it is faster, more efficient, precise and cost‐effective process than any conventional mechanized process. Since a robotic system is a cost‐intensive one it is necessary to find out the correct and optimal sequence with the constraints of the process in mind while dealing with assembled products with large number of parts.