Optimisation of cell configuration and comparisons usingevolutionary computation approaches

摘要

The paper examines a cellular manufacturing optimisation problemin a new facility of a pharmaceutical company. The new facility,together with the old one, should be adequate to handle current andfuture production requirements. The aim of the paper is to investigatethe potential use of evolutionary computation in order to find theoptimum configuration of the cells in the facility. The objective is tomaximise the total number of batches processed per year in the facility.In addition, two-objective optimisation search was implemented, usingseveral evolutionary computation methods. One additional objective is tominimise the overall cost, which is proportional to the number of cellsin the facility. The multi-objective optimisation programs were based onthree approaches: the weighted-sum approach, the Pareto-optimalityapproach, and the multi-objective genetic algorithm (MOGA)approach