TY - GEN
T1 - Study on the simulation model of the production capacity decision in hydrogen fuel cell vehicles industry
AU - Ma, Tao
AU - Chen, Mingqi
AU - Wang, Jian
AU - Ma, Ping
PY - 2012
Y1 - 2012
N2 - Effective utilization and expansion of production capacity has crucial cost implications, and arguably drives the profitability of the operation in the hydrogen fuel cell vehicles (HFCVs) industry. We develop a production capacity model for a HFCVs manufacturer decision, which is expressed by the market and the assumptions of information usage. From three factors of equipment construction, the rapid advancement of the HFCV technology and the inconsistent between the manufacturing capacity and the effective capacity, we expressed the basic mathematic descriptions of question. Then the computing model is programmed in the EXCEL interface. After the operation of the simulation, the different scenarios show that demand and capacity variability has clear impaction on the decision. The observation provides perception on the production capacity decision in HFCVs industry as capacity expansion and the cell technologies arise. Both result in different cost type and the cost of the transition. It also implicates that not the computer simulation but the information technology application are important to improve the industry decisions.
AB - Effective utilization and expansion of production capacity has crucial cost implications, and arguably drives the profitability of the operation in the hydrogen fuel cell vehicles (HFCVs) industry. We develop a production capacity model for a HFCVs manufacturer decision, which is expressed by the market and the assumptions of information usage. From three factors of equipment construction, the rapid advancement of the HFCV technology and the inconsistent between the manufacturing capacity and the effective capacity, we expressed the basic mathematic descriptions of question. Then the computing model is programmed in the EXCEL interface. After the operation of the simulation, the different scenarios show that demand and capacity variability has clear impaction on the decision. The observation provides perception on the production capacity decision in HFCVs industry as capacity expansion and the cell technologies arise. Both result in different cost type and the cost of the transition. It also implicates that not the computer simulation but the information technology application are important to improve the industry decisions.
KW - Hydrogen fuel cell vehicles
KW - Production capacity
KW - Simulation model
UR - https://www.scopus.com/pages/publications/84871553113
U2 - 10.4028/www.scientific.net/AMM.236-237.197
DO - 10.4028/www.scientific.net/AMM.236-237.197
M3 - 会议稿件
AN - SCOPUS:84871553113
SN - 9783037855317
T3 - Applied Mechanics and Materials
SP - 197
EP - 202
BT - Advanced Technology for Manufacturing Systems and Industry
T2 - 2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012
Y2 - 8 September 2012 through 9 September 2012
ER -