A Logistics Model of Total Life Cycle of Mechanical Products

Article Preview

Abstract:

A kind of processing strategy of total life cycle of mechanical products was designed. A logistics model of total life cycle of mechanical products was established based on eight typical states of life cycle of mechanical products. The logistics analysis of total life cycle of a sort of aero-engine was carried out by using the model. The dynamic equivalent quantity of the aero-engines in different states of life cycle was obtained when times changed from the products were first put into production to the time when stable production capacity was reached. The model can also be used to predict logistics of other products rapidly. The results give references for production departments or enterprises which use life cycle methods to configure their production resources effectively and optimize production processes, and also provide a basis for further analysis of total life cycle analysis such as economic and environmental assessment.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

402-407

Citation:

Online since:

December 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] A. Azapagic. Life cycle assessment and its application to process selection, design and optimisation. Chemical Engineering Journal, 73 (1999) 1-21.

DOI: 10.1016/s1385-8947(99)00042-x

Google Scholar

[2] Guo Wanlin. The Total Life Cycle Design of Engineering Products. China Mechanical Engineering, 13, 13 (2002) 1153-1158.

Google Scholar

[3] Shi Hanmin. Design for Total Life Cycle of Products. China Mechanical Engineering, 9, 12 (1998) 1-2.

Google Scholar

[4] Leo Alting , Jens Brabech Legarth. Life Cycle Engineering and Design. Annals of the ClRP, 44, 2 (1995) 569-580.

Google Scholar

[5] P.S. Ramalhete, A.M.R. Senos, C. Aguiar. Digital tools for material selection in product design. Materials and Design, 31 (2010) 2275–2287.

DOI: 10.1016/j.matdes.2009.12.013

Google Scholar

[6] Listes O, Dekker R. A Stochastic Approach to a Case Study for Product Recovery Network Design. European Journal of Operational Research, 160, 1 (2005) 268-287.

DOI: 10.1016/j.ejor.2001.12.001

Google Scholar

[7] Liu Wenjie, Guo Caifen, Wang Ningsheng. Research on Production Operation of Reverse Supply Chain. China Mechanical Engineering, 16, 17 (2005) 1531-1535, 1540.

Google Scholar

[8] Carl Johan Rydh, Mingbo Sun. Life cycle inventory data for materials grouped according to environmental and material properties. Journal of Cleaner Production, 13 (2005) 1258-1268.

DOI: 10.1016/j.jclepro.2005.05.012

Google Scholar

[9] A.M. Lovatt, H.R. Shercliff. Manufacturing process selection in engineering design. Part 1: the role of process selection. Materials and Design, 19(1998) 19: 205-215.

DOI: 10.1016/s0261-3069(98)00038-7

Google Scholar

[10] G.A.L. Kennedy, C.E. Siemieniuch, M.A. Sinclairb, et, al. Proposal for a sustainable framework process for the generation, validation, and application of human reliability assessment within the engineering design lifecycle. Reliability Engineering and System Safety, 92 (2007).

DOI: 10.1016/j.ress.2006.03.007

Google Scholar

[11] Ingrid Bouwer Utne. Life cycle cost (LCC) as a tool for improving sustainability in the Norwegian fishing fleet. Journal of Cleaner Production, 17 (2009) 335-344.

DOI: 10.1016/j.jclepro.2008.08.009

Google Scholar

[12] P.H. Nielsen, H. Wenzel. Integration of environmental aspects in product development: a stepwise procedure based on quantitative life cycle assessment. Journal of Cleaner Production, 10 (2002) 247-257.

DOI: 10.1016/s0959-6526(01)00038-5

Google Scholar