A bin assignment algorithm for demanufacturing automation

Meimei Gao, Meng Chu Zhou, Reggie J. Caudill

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


An algorithm is developed to determine disassembly levels and bins to maximize the profit from a used product through balancing the resource invested in disassembly processes, the return realized from them and the environmental impact. The algorithm utilizes the information from a Computer Aided Design (CAD) system and requires minimal user input with the computational complexity of O(n), where n is the number of parts and final subassemblies in a product. It has been successfully used in the development of a demanufacturing state of a Multi-Lifecycle Assessment and Analysis (MLCA) Tool. The benefit of the proposed algorithm is illustrated through an example.

Original languageEnglish (US)
Pages (from-to)2351-2356
Number of pages6
JournalProceedings - IEEE International Conference on Robotics and Automation
StatePublished - 2002
Event2002 IEEE International Conference on Robotics adn Automation - Washington, DC, United States
Duration: May 11 2002May 15 2002

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering


  • Algorithm
  • Bin assignment
  • Demanufacturing
  • Disassembly
  • Multi-lifecycle engineering


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