The optimisation of a printed circuit board assembly line is mainly influenced by the
constraints of the surface mount device (SMD) placement machine and the characteristics of …

In this paper we introduce a Monte Carlo based hyper-heuristic. The Monte Carlo hyper-
heuristic manages a set of low level heuristics (in this case just simple 2-opt swaps but they …

This paper presents a novel version of the Bees Algorithm customised to solve combinatorial
optimisation problems. This version was created to minimise assembly time in the …

This article surveys research on the single surface mount device (SMD) placement machine
optimisation problem. We classify the optimisation problem into five sub-problems: feeder …

An improved swarm-based optimisation algorithm from the Bees Algorithm family for solving
complex optimisation problems is proposed. Like other Bees Algorithms, the algorithm …

Optimisation can play a major role in improving the throughput of surface mount placement
machines. Most previous work has reported on improving only the assembly cycle time. The …

Several production planning tasks in the printed circuit board (PCB) assembly industry
involve the estimation of the component placement times for different PCB types and …

This paper proposes a methodology for real-time scheduling to sequence the pickup and
placement of component on multi headed placement machines in printed circuit board …

Gantry type component placement machines are widely used in electronics industry due to
their accuracy, speed and flexibility. In order to make optimal plans of their usage one has to …

A method of optimizing an order of component mounting which includes optimizing an order
of component mounting for any one pattern among the plurality of patterns, calculating a …