A new method of determining decision-making unit congestion under inter-temporal dependence

Congestion is an essential concept in data envelopment analysis (DEA). It occurs when the decrease at least one decision-making unit (DMU) input increases output without affecting other inputs or outputs. Although various methods have discussed congestion determination static DEA, calculation dynamic DEA under inter-temporal dependence has not been considered literature. This paper deals with congested levels multi-period production systems and of periods due to stock capital. Due importance evaluating DMUs presence time factors, this expands factor periods. The proposed models determine assessment window characterize extra-input lack-output amounts all components each period window. aims specify system performance different evaluation by determining DMUs. proposes a method identify paths. main advantage prevent inappropriate allocation resources during validity investigated through example banking sector. Moreover, can be utilized sectors homogeneous units same structure.