Disassembly sequence planning at the early conceptual stage of design leads to enormous benefits including simplification of products, lower assembly and disassembly costs, and design modifications which result in increased potential profitability of end-of-life salvaging operations. However, in the early design stage, determining the best disassembly sequence is challenging. First, the required information is not readily available and very time-consuming to gather. In addition, the best solution is sometimes counterintuitive, even to those with experience and expertise in disassembly procedures. Integrating analytical models with immersive computing technology (ICT) can help designers overcome these issues. A two-stage procedure for doing so is introduced in this paper. In the first stage, a stochastic programming model together with the information obtained through immersive simulation is applied to determine the optimal disassembly sequence, while considering uncertain outcomes, such as time, cost, and the probability of causing damage. In the second stage, ICT is applied as a tool to explore alternative disassembly sequence solutions in an intuitive way. The benefit of using this procedure is to determine the best disassembly sequence, not only by solving the analytic model but also by capturing human expertise. The designer can apply the obtained results from these two stages to analyze and modify the product design. An example of a Burr puzzle is used to illustrate the application of the method.
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April 2014
Research-Article
Leveraging Virtual Reality Experiences With Mixed-Integer Nonlinear Programming Visualization of Disassembly Sequence Planning Under Uncertainty
Sara Behdad,
Sara Behdad
Department of Mechanical and
Aerospace Engineering,
Department of Industrial and
Systems Engineering,
e-mail: sarabehd@buffalo.edu
Aerospace Engineering,
Department of Industrial and
Systems Engineering,
University at Buffalo
, SUNY,Buffalo, NY 14260
e-mail: sarabehd@buffalo.edu
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Deborah Thurston,
Deborah Thurston
1
Industrial and Enterprise Systems
Engineering Department,
e-mail: thurston@illinois.edu
Engineering Department,
University of Illinois at Urbana-Champaign
,Urbana, IL 61801
e-mail: thurston@illinois.edu
1Corresponding author.
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Judy Vance
Judy Vance
Department of Mechanical Engineering,
e-mail: jmvance@iastate.edu
Iowa State University
,Ames, IA 50010
e-mail: jmvance@iastate.edu
Search for other works by this author on:
Sara Behdad
Department of Mechanical and
Aerospace Engineering,
Department of Industrial and
Systems Engineering,
e-mail: sarabehd@buffalo.edu
Aerospace Engineering,
Department of Industrial and
Systems Engineering,
University at Buffalo
, SUNY,Buffalo, NY 14260
e-mail: sarabehd@buffalo.edu
Leif P. Berg
Deborah Thurston
Industrial and Enterprise Systems
Engineering Department,
e-mail: thurston@illinois.edu
Engineering Department,
University of Illinois at Urbana-Champaign
,Urbana, IL 61801
e-mail: thurston@illinois.edu
Judy Vance
Department of Mechanical Engineering,
e-mail: jmvance@iastate.edu
Iowa State University
,Ames, IA 50010
e-mail: jmvance@iastate.edu
1Corresponding author.
Contributed by the Design Automation Committee of ASME for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received May 9, 2012; final manuscript received December 18, 2013; published online February 26, 2014. Assoc. Editor: Michael Kokkolaras.
J. Mech. Des. Apr 2014, 136(4): 041005 (8 pages)
Published Online: February 26, 2014
Article history
Received:
May 9, 2012
Revision Received:
December 18, 2013
Citation
Behdad, S., Berg, L. P., Thurston, D., and Vance, J. (February 26, 2014). "Leveraging Virtual Reality Experiences With Mixed-Integer Nonlinear Programming Visualization of Disassembly Sequence Planning Under Uncertainty." ASME. J. Mech. Des. April 2014; 136(4): 041005. https://doi.org/10.1115/1.4026463
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