Earticle

초록

영어

Disassembly modeling and planning is meaningful and instructive for remanufacturing and recycling of disused products. However, an actual disassembly process of products has uncertainties since a variety of unpredictable factors. To handle such uncertainty, this work presents a novel disassembly modeling and planning approach using an extended stochastic Petri nets. An extended stochastic disassembly Petri nets (ESDPN) model is defined to provide basis for disassembly planning. Moreover, based on it, some typical probability evaluation models is built accordion to different disassembly criterion. In addition, a hybrid intelligent integrating stochastic simulation and neural network (NN) is proposed to solve the proposed models, respectively. Some numerical examples are given to illustrate the proposed models and the effectiveness of proposed algorithms.

목차

Abstract
 1. Introduction
 2. Problem Statement
  2.1. Assumptions
  2.2. Extended Stochastic Disassembly Petri nets (ESDPN)
  2.3. Basic Concepts
 3. Probability Evaluation Models of Product Disassembly Profit based on ESDPN
 4. Solution Method
 5. Case Study
 6. Conclusions
 References

키워드

저자

• Hongxing Deng [ Transportation College, Northeast Forestry University, Harbin 150040, P. R. China ]
• Tiangang Qiang [ Transportation College, Northeast Forestry University, Harbin 150040, P. R. China ]
• Xiwang Guo [ Information Science Engineering College, Northeast University, Shenyang 110819, P R. China ]
• Ying Zhao [ Transportation College, Northeast Forestry University, Harbin 150040, P. R. China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605