TY - JOUR
T1 - Increasing manufacturing flexibility through battery management of automated guided vehicles
AU - Kabir, Qazi Shaheen
AU - Suzuki, Yoshinori
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/3
Y1 - 2018/3
N2 - Purpose of this paper is to explore the possibility of increasing manufacturing capacities in the short run through battery management of automated guided vehicles (AGVs). The paper investigates how the duration of battery charging for AGVs can be varied to increase flexibility of a manufacturing system. The key concept is that a lead acid battery, the most widely used battery type for AGVs, receives most of its charge during the initial phase (time) of charging as opposed to the later phase. Consequently, more productive hours can be obtained from the AGVs by reducing the duration of each charging occurrence (i.e., by recharging the batteries to less than full capacity). In this approach, an AGV needs to be recharged more frequently, but the total productive hours available from the AGVs can increase. Simulation models were developed to investigate the effect of this approach. Results show that productivity of a manufacturing system increases significantly through this approach. This approach can be quite helpful for a firm if AGVs are the bottleneck in its manufacturing plant and the firm needs to have a significant improvement of its productivity in the short-run. Also, this approach does not require a firm to make a large investment to add more AGVs to its facility.
AB - Purpose of this paper is to explore the possibility of increasing manufacturing capacities in the short run through battery management of automated guided vehicles (AGVs). The paper investigates how the duration of battery charging for AGVs can be varied to increase flexibility of a manufacturing system. The key concept is that a lead acid battery, the most widely used battery type for AGVs, receives most of its charge during the initial phase (time) of charging as opposed to the later phase. Consequently, more productive hours can be obtained from the AGVs by reducing the duration of each charging occurrence (i.e., by recharging the batteries to less than full capacity). In this approach, an AGV needs to be recharged more frequently, but the total productive hours available from the AGVs can increase. Simulation models were developed to investigate the effect of this approach. Results show that productivity of a manufacturing system increases significantly through this approach. This approach can be quite helpful for a firm if AGVs are the bottleneck in its manufacturing plant and the firm needs to have a significant improvement of its productivity in the short-run. Also, this approach does not require a firm to make a large investment to add more AGVs to its facility.
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U2 - 10.1016/j.cie.2018.01.026
DO - 10.1016/j.cie.2018.01.026
M3 - Article
AN - SCOPUS:85041712255
SN - 0360-8352
VL - 117
SP - 225
EP - 236
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
ER -