Title of article :
Energy-conscious dynamic sequencing method for dual command cycle unit-load multiple-rack automated storage and retrieval systems
Author/Authors :
Saghaei Abbas نويسنده Associate professor, Department of Industrial Engineering, Science and Research Branch , Haleh, Hassan نويسنده Faculty of Industrial and Mechanical Engineering, Islamic Azad University, QAZVIN branch, Qazvin, Iran , Roozbeh Nia Ali نويسنده Islamic Azad University
Abstract :
A Dual Command (DC) cycle \dynamic sequencing" method in unit-load
multiple-rack AS/RS system under Time-Of-Use (TOU) electricity tari s is applied in
this paper. To make a type of energy-ecient model, overconsumption cost of on-peak
period electricity, penalty cost of overconsumption of power, bounds on the total consumed
energy, and accessible times of all facilities are considered in the model. Moreover, a
Genetic Algorithm (GA) is developed to achieve a near-optimum solution to the suggested
energy-based mathematical model with the objective of minimizing the total cost of the
AS/RS system under TOU tari s. Considering that no benchmark is obtainable in the
literature, a Simulated Annealing (SA) algorithm is developed to certify the outcome
gained. For supplementary con rmation, we compare the total cost of our model with
that of single-tari model and also conduct sensitivity analysis of the allowable amount
of power consumption. The system throughput, in terms of time and cost, is calculated
for the model too. In the last part, sixteen numerical examples with di erent numbers
of required storage/retrieval orders are suggested to display the function of the proposed
procedure. Our outcomes veri ed that GA is able to obtain favorable and closer optimal
solutions and the TOU tari s model get the minimum total cost.
Journal title :
Astroparticle Physics
