10 research outputs found
A review on assembly sequence planning and assembly line balancing optimisation using soft computing approaches
Assembly optimisation activities occur across development and production stages
of manufacturing goods. Assembly Sequence Planning (ASP) and Assembly Line
Balancing (ALB) problems are among the assembly optimisation. Both of these
activities are classified as NP-hard. Several soft computing approaches using
different techniques have been developed to solve ASP and ALB. Although these
approaches do not guarantee the optimum solution, they have been successfully
applied in many ASP and ALB optimisation works. This paper reported the survey
on research in ASP and ALB that use soft computing approaches for the past
10years. To be more specific, only Simple Assembly Line Balancing Problem
(SALBP) is considered for ALB. The survey shows that three soft computing
algorithms that frequently used to solve ASP and ALB are Genetic Algorithm, Ant
Colony Optimisation and Particle Swarm Optimisation. Meanwhile, the research in
ASP and ALB is also progressing to the next level by integration of assembly
optimisation activities across product development stages