Probability evaluation models of product disassembly cost subject to random removal time and different removal labor cost

Guangdong Tian, Mengchu Zhou, Jiangwei Chu, Yumei Liu

Research output: Contribution to journalArticlepeer-review

60 Scopus citations

Abstract

Disassembly is a systematic method to separate an end-of-life product into its constituent parts and components. However, the disassembly process of products can experience great uncertainty due to a variety of unpredictable factors. To deal with such uncertainty, this work proposes a novel probability analysis method of disassembly cost with random removal time and different removal labor cost. According to different constraints and actual execution of disassembly, it presents typical probability evaluation models of disassembly cost. Moreover, a solution algorithm based on stochastic simulation is used to solve the proposed probability models. Some numerical examples are given to illustrate the proposed concepts and the effectiveness of the proposed algorithm.

Original languageEnglish (US)
Article number6126000
Pages (from-to)288-295
Number of pages8
JournalIEEE Transactions on Automation Science and Engineering
Volume9
Issue number2
DOIs
StatePublished - Apr 2012

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Keywords

  • Algorithm
  • disassembly
  • disassembly planning
  • modeling and simulation

Fingerprint Dive into the research topics of 'Probability evaluation models of product disassembly cost subject to random removal time and different removal labor cost'. Together they form a unique fingerprint.

Cite this