Optimization of the Dynamic Disassembly Process Based on Heuristic Tetri Nets

In this paper, the disassembly process of the reverse logistics process is selected as a case for establishing the Heuristic petri net model of the disassembly process. It utilizes a fuzzy inference model to dynamically solve problems on heuristic factors and observes the impact of the change for uncertain information on the selection of optimal disassembly process and eventual returns, the results of which testify to the importance of a reasonable dynamic business process optimization program and provide a feasible thinking pattern and method for dynamic business process optimization.

• Record URL:
  https://doi.org/10.1061/9780784413753.149
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413753
• Supplemental Notes:
  • © 2014 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Yang, Li
  • Qiu, Xiaoping
  • Sun, Wengpeng
• Conference:
  • 2014 International Conference of Logistics Engineering and Management (ICLEM)
  • Location: Shanghai , China
  • Date: 2014-10-9 to 2014-10-11
• Publication Date: 2014-9

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 982-988
• Monograph Title: ICLEM 2014: System Planning, Supply Chain Management, and Safety

Subject/Index Terms

• TRT Terms: Freight transportation; Heuristic methods; Optimization; Petri nets
• Uncontrolled Terms: Business process modeling; Disassembly; Fuzzy inference; Reverse logistics
• Subject Areas: Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01541156
• Record Type: Publication
• ISBN: 9780784413753
• Files: TRIS, ASCE
• Created Date: Oct 18 2014 4:03PM