Dynamic Stochastic Modeling in Single Unit Job Lot Fabrication of Vehicle Components Assembly Test

Abstract:

The fabrication mode of vehicle components assembly tester belongs to single unit job lot production, with single quantity and mass operations. In order to produce them with high efficient and low cost, the resources configuration method plays an important role. The fabrication simulation model using a dynamic stochastic function is set up. First, the stochastic factors, including uncertainties of production task caused by market variety, production duration caused by design modification and production process caused by resource configuration diversity, are described with the change of production operations. Then the dynamic stochastic model of production process is set up on the basis of the transition probability matrix, preparation time and flexible time. As an example, the application method of this model for the synchronous fabrication process of drive axle performance tester and running tester is investigated. The results show that this method can be used for the planning and evaluation for the complex equipments fabrication within specified period.

• Periodical: Advanced Materials Research (Volume 628)
• Pages: 95-100
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.628.95
• Online since: December 2012
• Authors: Qian Ting Wang
• Keywords: Dynamic Stochastic Function, Simulation Model, Single Unit Job Lot Production, Transition Probability Matrix, Vehicle Assembly Tester

References

[1] Beaudoin M., Automobile emissions test benches: The next generation, Sens (Peterborough, NH), 15(1998) 1-6.

[2] Schupbach R.M., and Balda J.C., A Versatile Laboratory Test Bench for Developing Powertrains of Electric Vehicles, Vehicular Technology Conference, 1666-1670(2002).

DOI: 10.1109/vetecf.2002.1040499

[3] Gordon V. and Kubiak W., Single machine scheduling with release and dur date assignment to minimize the weighted number of late jobs, Information Processing Letters. 68(1998)153-159.

DOI: 10.1016/s0020-0190(98)00153-7

[4] Józefczyk. J., Decision-making algorithms in two-level complex operation system, Decision Support Systems, 38(2004) 171-182.

DOI: 10.1016/s0167-9236(03)00098-8

[5] Clyde W. H., Mark P. S., ERP plans and decision-support benefits, Decision Support Systems, 38(2005) 575-590.

DOI: 10.1016/j.dss.2003.07.001

[6] Zheng Yun, Wang Chun, Fully & optimal model based on dynamic & stochastic input-output production function of manufacturing enterprises under the condition of single unit job lot production, Mathematics in Practice and Theory, 32(2002) 758-762.

[7] Kimmich F., Schwarte A. and Isermann R., Fault detection for modern diesel engines using signal- and process model-based methods, Control engineering practice. 13(2005) 189-203.

DOI: 10.1016/j.conengprac.2004.03.002

[8] Liu W. X., Drive axle, Beijing: China Communications Press, (1981).