THE MODEL PREDICTION OF LIFE CYCLE OWNERSHIP COSTS OF SPECIAL MOTOR VEHICLES

被引:2
作者
Furch, Jan [1 ]
机构
[1] Univ Def, Dept Combat & Special Vehicles, Kounicova Str 65, Brno, Czech Republic
关键词
motor vehicle life cycle cost; prediction model; life cycle cost prediction; ownership cost; operating cost; preventive maintenance cost; corrective maintenance cost;
D O I
10.21278/TOF.444004719
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The paper deals with the prediction of life cycle costs related to special motor vehicles. In the first part, there is an analysis of the applied commercial software programs used for calculating and predicting the life cycle cost of vehicles. Next, there is a description of risks which might occur when calculating the life cycle cost and of the possible risk management. In the second part of the paper it is suggested that the motor vehicle life cycle cost can be predicted based on accurate data which are generally difficult to obtain, e.g. failure intensity z(t) or mean time between failures (MTBFs) used for calculating the cost after maintenance. The final part includes a proposal for the prediction of the ownership life cycle cost which consists of the operating and maintenance costs of special motor vehicles. This proposal is based on the company logistic information system, which at regular intervals assesses special vehicle life cycle cost during operation and maintenance. Under special motor vehicles here we understand the vehicles which are equipped with a chassis and a special vehicle superstructure which consumes operation units and on which maintenance is performed. Such vehicles are used in the construction or agricultural industry as well as in the military environment. The paper focuses on the design of a prediction model of the ownership life cycle cost of the military environment, where a relevant military logistic information system is used.
引用
收藏
页码:99 / 114
页数:16
相关论文
共 50 条
[41]   Life Prediction Model of Mineral Admixture Cement Based-Materials under Early Age CO2-Erosion [J].
Wang, Saisai ;
Chen, Jian ;
Wen, Xiaodong .
COATINGS, 2021, 11 (04)
[42]   Identification of predictors and construction of a prediction model for the quality of life in laryngeal carcinoma patients in China using revised core nursing outcomes [J].
Ding, Yongxia ;
Tian, Yanzhi ;
Duan, Ruirui ;
Xu, Jing ;
Yang, Huixian ;
Xu, Jinxia ;
Tang, Liyun .
BMC NURSING, 2024, 23 (01)
[43]   Influencing Factors of Quality of Life and Prediction Model Building in Patients with Primary Nephrotic Syndrome: A Single-Centre Retrospective Study [J].
Ji, Xiaohong ;
Zhang, Jianfang ;
Li, Yuanyuan ;
Hu, Lin .
ARCHIVOS ESPANOLES DE UROLOGIA, 2023, 76 (04) :283-289
[44]   A life-threatening bleeding prediction model for immune thrombocytopenia based on personalized machine learning: a nationwide prospective cohort study [J].
An, Zhuo-Yu ;
Wu, Ye-Jun ;
Hou, Yu ;
Mei, Heng ;
Nong, Wei-Xia ;
Li, Wen-Qian ;
Zhou, Hu ;
Feng, Ru ;
Shen, Jian-Ping ;
Peng, Jun ;
Zhou, Hai ;
Liu, Yi ;
Song, Yong-Ping ;
Yang, Lin-Hua ;
Fang, Mei-Yun ;
Li, Jian-Yong ;
Cheng, Yun-Feng ;
Liu, Peng ;
Xu, Ya-Jing ;
Wang, Zhao ;
Luo, Yi ;
Cai, Zhen ;
Liu, Hui ;
Wang, Jing-Wen ;
Li, Juan ;
Zhang, Xi ;
Sun, Zi-Min ;
Zhu, Xiao-Yu ;
Wang, Xin ;
Fu, Rong ;
Huang, Liang ;
Wang, Shao-Yuan ;
Yang, Tong-Hua ;
Su, Li-Ping ;
Ma, Liang-Ming ;
Chen, Xie-Qun ;
Liu, Dai-Hong ;
Yao, Hong-Xia ;
Feng, Jia ;
Zhang, Hong-Yu ;
Jiang, Ming ;
Zhou, Ze-Ping ;
Wang, Wen-Sheng ;
Shen, Xu-Liang ;
Baima, Yangjin ;
Li, Yue-Ying ;
Wang, Qian-Fei ;
Huang, Qiu-Sha ;
Fu, Hai-Xia ;
Zhu, Xiao-Lu .
SCIENCE BULLETIN, 2023, 68 (18) :2106-2114
[45]   A Wear Rule and Cutter Life Prediction Model of a 20-in. TBM Cutter for Granite: A Case Study of a Water Conveyance Tunnel in China [J].
Liu, Quansheng ;
Liu, Jianping ;
Pan, Yucong ;
Zhang, Xiaoping ;
Peng, Xingxin ;
Gong, Qiuming ;
Du, Lijie .
ROCK MECHANICS AND ROCK ENGINEERING, 2017, 50 (05) :1303-1320
[46]   Diabetes Life Expectancy Prediction Model Inputs and Results From Patient Surveys Compared With Electronic Health Record Abstraction: Survey Study [J].
Bernstein, Sean ;
Gilson, Sarah ;
Zhu, Mengqi ;
Nathan, Aviva G. ;
Cui, Michael ;
Press, Valerie G. ;
Shah, Sachin ;
Zarei, Parmida ;
Laiteerapong, Neda ;
Huang, Elbert S. .
JMIR AGING, 2023, 6
[47]   A Wear Rule and Cutter Life Prediction Model of a 20-in. TBM Cutter for Granite: A Case Study of a Water Conveyance Tunnel in China [J].
Quansheng Liu ;
Jianping Liu ;
Yucong Pan ;
Xiaoping Zhang ;
Xingxin Peng ;
Qiuming Gong ;
Lijie Du .
Rock Mechanics and Rock Engineering, 2017, 50 :1303-1320
[48]   HEROES V-A-HEmoRrhagic cOmplications in veno-arterial Extracorporeal life Support-Development and internal validation of a multivariable prediction model in adult patients [J].
Willers, Anne ;
Swol, Justyna ;
van Kuijk, Sander M. J. ;
Buscher, Hergen ;
McQuilten, Zoe ;
ten Cate, Hugo ;
Rycus, Peter T. ;
McKellar, Stephen ;
Lorusso, Roberto ;
Tonna, Joseph E. .
ARTIFICIAL ORGANS, 2022, 46 (11) :2266-2283
[49]   HEROES V-V-HEmorRhagic cOmplications in Veno-Venous Extracorporeal life Support-Development and internal validation of multivariable prediction model in adult patients [J].
Willers, Anne ;
Swol, Justyna ;
von Kuijk, Sander M. J. ;
Buscher, Hergen ;
McQuilten, Zoe ;
ten Cate, Hugo ;
Rycus, Peter T. ;
McKellar, Stephen ;
Lorusso, Roberto ;
Tonna, Joseph E. .
ARTIFICIAL ORGANS, 2022, 46 (05) :932-952
[50]   Application of a validated prediction model for in vitro fertilization: comparison of live birth rates and multiple birth rates with 1 embryo transferred over 2 cycles vs 2 embryos in 1 cycle [J].
Barbara, Luke ;
Brown, Morton B. ;
Wantman, Ethan ;
Stern, Judy E. ;
Baker, Valerie L. ;
Widra, Eric ;
Coddington, Charles C. ;
Gibbons, William E. ;
Van Voorhis, Bradley J. ;
Ball, G. David .
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2015, 212 (05) :676.e1-676.e7