A symbolic methodology to improve disassembly process design.
Millions of end-of-life electronic components are retired annually due to the proliferation of new models and their rapid obsolescence. The recovery of resources such as plastics from these goods requires their disassembly. The time required for each disassembly and its associated cost is defined by the operator's familiarity with the product design and its complexity. Since model proliferation serves to complicate an operator's learning curve, it is worthwhile to investigate the benefits to be gained in a disassembly operator's preplanning process. Effective disassembly process design demands the application of green engineering principles, such as those developed by Anastas and Zimmerman (Environ. Sci. Technol. 2003, 37, 94A-101A), which include regard for product complexity, structural commonality, separation energy, material value, and waste prevention. This paper introduces the concept of design symbolsto help the operator more efficiently survey product complexity with respect to location and number of fasteners to remove a structure that is common to all electronics: the housing. With a sample of 71 different computers, printers, and monitors, we demonstrate that appropriate symbols reduce the total disassembly planning time by 13.2 min. Such an improvement could well make efficient the separation of plastic that would otherwise be destined for waste-to-energy or landfill. The symbolic methodology presented may also improve Design for Recycling and Design for Maintenance and Support.
Rios
Pedro
P
School of Industrial Engineering, Department of Chemistry, Purdue University, 315 North Grant Street, West Lafayette, Indiana 47907-2023, USA.
Blyler
Leslie
L
Tieman
Lisa
L
Stuart
Julie Ann
JA
Grant
Ed
E
D003201:Computers; D003246:Conservation of Energy Resources; D004581:Electronics; D004787:Environmental Pollution / Q000517:prevention & control*; D004867:Equipment Design; D005160:Facility Design and Construction; D010969:Plastics; D012037:Refuse Disposal; D013597:Systems Analysis
D010969:Plastics