Optimization of Various Factors of Growing Items by Using PSO

Abstract

Economic order/production quantity (EOQ/EPQ) models have usually been presented for mechanized products. Incorporating
some important features of a specific group of products, different EOQ/EPQ models have been projected in the literature. This study proposes a new class of inventory models, i.e. a model for a specific type of listing items: growing items. We compute the optimal order quantity of the growing items at the start of a growing cycle, the finest length of the growing cycle, and the optimal total profit. A sensitivity analysis is accessible to study the effect of the main parameters of the model in terms of its verdict variables and objective function. The results of the sensitivity analysis suggest that production costs are the most critical parameter. This paper proposed a novel methodology utilizing PSO in extroverted assembling frameworks with cradles that has two objectives: to meet production targets and diminish stock general cost. This paper presents a novel methodology, in the vision of optimal control theory, to accomplish both objectives all the while by on-control amendment of the production rate of every machine.