Artikel

Remanufacturing process for used automotive electronic control components in China

China's recycling roadmap and technology scheme for used automotive electronic control components are investigated. The mathematical analysis model of the remanufacturing process is established on the basis of stochastic network technology, as well as on the graphical evaluation and review technique (GERT). In addition, the calculation method used for estimating single-product remanufacturing time is examined. The objective of this study is to determine the probability of success for the remanufacturing of used automotive electronic control components and remanufacturing time. On the basis of experimental parameters, we simulate the remanufacturing process using the Monte Carlo simulation in Crystal Ball. Compared with the result of the GERT model (8.5114 h), the simulation error rate is 0.225%. This consistency in results indicates that both the stochastic network model and Crystal Ball can accurately simulate the remanufacturing process of used automotive electronic control components, making these techniques feasible approaches for such processes. Aside from numerical experiments on and sensitivity analyses of key processes, the relationship between total remanufacturing time and five influencing factors is identified. Total remanufacturing time can be significantly reduced by optimizing the key processes. The optimization methods are also investigated.

Language
Englisch

Bibliographic citation
Journal: Journal of Remanufacturing ; ISSN: 2210-4690 ; Volume: 3 ; Year: 2013 ; Pages: 1-17 ; Heidelberg: Springer

Classification
Management
Subject
Used automotive electronic control components
Recycling
Stochastic network model
Monte Carlo simulation in Crystal Ball
Simulation
China

Event
Geistige Schöpfung
(who)
Wang, Junjun
Chen, Ming
Event
Veröffentlichung
(who)
Springer
(where)
Heidelberg
(when)
2013

DOI
doi:10.1186/2210-4690-3-9
Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Wang, Junjun
  • Chen, Ming
  • Springer

Time of origin

  • 2013

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