A review of current research on disassembly sequence generation and computer aided design for disassembly

Dong, Jing; Arndt, G.

doi:10.1243/095440503321590479

Cited by 37 publications

(19 citation statements)

References 75 publications

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“…[11]. All these method have their own advantage and disadvantage within modeling and searching of disassembly sequence.…”

Section: Hybrid Graph For Disassembly Modeling Of Eol Productmentioning

confidence: 99%

“…(1-9), [(2-8), (2)(3)(4)(5)(6)(7)(8)(9)(10)(11), (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)], [(9-8), (10-8)] In the above sequence, sign "()" represents the disassembly operations of connections between two parts. Where [(2-8), (2)(3)(4)(5)(6)(7)(8)(9)(10)(11), (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)] indicates that the three disassembly operations are equal in sequence with the same disassembly costs.…”

Section: A Case Studymentioning

confidence: 99%

“…Where [(2-8), (2)(3)(4)(5)(6)(7)(8)(9)(10)(11), (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)] indicates that the three disassembly operations are equal in sequence with the same disassembly costs.…”

Section: A Case Studymentioning

confidence: 99%

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Research of Partial Destructive based Selective Disassembly Sequence Planning

Zi-qiang¹,

Griffiths²,

Zhang³

et al. 2015

TOMEJ

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Abstract:In the process of recycling EOL (end of life) products, disassembly is an important stage. Moreover, there are several targets for disassembly: reuse, remanufacturing and material recycling. In order to improve the efficiency of disassembly, only the component which need to be reused or remanufactured need to be disassembled with nondestructive method. The rest components which recycled for material can be disassembled with partial destructive method. Namely, partial destructive disassembly is more practical than total disassembly within recycling process for EOL products. In this paper, the generally used partial destructive disassembly methods are analyzed. And several rules are defined for reconstructing the hybrid graph of EOL product. And then, an extended Floyd algorithm is proposed for searching optimized disassembly sequence. With this algorithm, the material properties of parts, connection properties between parts or components are taking into account. By ranking the cost of several possible disassembly path, the optimal disassembly sequence is obtained for target component. At last, a soybean milk machine is used as a study case to verify the former approach.

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“…[11]. All these method have their own advantage and disadvantage within modeling and searching of disassembly sequence.…”

Section: Hybrid Graph For Disassembly Modeling Of Eol Productmentioning

confidence: 99%

Section: A Case Studymentioning

confidence: 99%

See 1 more Smart Citation

Research of Partial Destructive based Selective Disassembly Sequence Planning

Zi-qiang¹,

Griffiths²,

Zhang³

et al. 2015

TOMEJ

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“…Dong and Arndt [23] present a comprehensive overview of disassembly sequence planning including some methods based on ICT. Ritchie et al [24] first proposed combining knowledge capture and ICT to support assembly methods planning.…”

Section: Literature Reviewmentioning

confidence: 99%

Immersive Computing Technology to Investigate Tradeoffs Under Uncertainty in Disassembly Sequence Planning

Behdad

Berg

Vance

et al. 2014

Journal of Mechanical Design

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The scientific and industrial communities have begun investigating the possibility of making product recovery economically viable. Disassembly sequence planning may be used to make end-of-life product take-back processes more cost effective. Much of the research involving disassembly sequence planning relies on mathematical optimization models. These models often require input data that is unavailable or can only be approximated with high uncertainty. In addition, there are few mathematical models that include consideration of the potential of product damage during disassembly operations. The emergence of Immersive Computing Technologies (ICT) enables designers to evaluate products without the need for physical prototypes. Utilizing unique 3D user interfaces, designers can investigate a multitude of potential disassembly operations without resorting to disassembly of actual products. The information obtained through immersive simulation can be used to determine the optimum disassembly sequence. The aim of this work is to apply a decision analytical approach in combination with immersive computing technology to optimize the disassembly sequence while considering trade-offs between two conflicting attributes: disassembly cost and damage estimation during disassembly operations. A wooden Burr puzzle is used as an example product test case. Immersive human computer interaction is used to determine input values for key variables in the mathematical model. The results demonstrate that the use of dynamic programming algorithms coupled with virtual disassembly simulation is an effective method for evaluating multiple attributes in disassembly sequence planning. This paper presents a decision analytical approach, combined with immersive computing techniques, to optimize the disassembly sequence. Future work will concentrate on creating better methods of estimating damage in virtual disassembly environments and using the immersive technology to further explore the feasible design space. The scientific and industrial communities have begun investigating the possibility of making product recovery economically viable. Disassembly sequence planning may be used to make end-of-life product take-back processes more cost effective. Much of the research involving disassembly sequence planning relies on mathematical optimization models. These models often require input data that is unavailable or can only be approximated with high uncertainty. In addition, there are few mathematical models that include consideration of the potential of product damage during disassembly operations. The emergence of Immersive Computing Technologies (ICT) enables designers to evaluate products without the need for physical prototypes. Utilizing unique 3D user interfaces, designers can investigate a multitude of potential disassembly operations without resorting to disassembly of actual products. The information obtained through immersive simulation can be used to determine the optimum disassembly sequence. The aim of this work is to apply a de...

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“…Disassembly planning has been addressed in the reverse logistics literature. Several surveys of the relevant literature are provided in Lee et al (2001), Tang et al (2002), Dong and Arndt (2003), Lambert (2003), and Kang and Xirouchakis (2006). According to Reveliotis (2007) most of the studies address disassembly planning in three main steps: (1) first formalize the dynamics of the disassembly process by applying a particular representation tool such as tree representation, AND/OR graph representation, and state representation, (2) assign a 'cost structure' to the representation and modeling the economic elements involved in the decision-making process; and (3) finally apply a method to select the best disassembly sequence by means of the established framework in steps (1) and (2).…”

Section: Introductionmentioning

confidence: 99%

Integrating Immersive Computing Technology With Mixed-Integer Nonlinear Programming for Disassembly Sequence Planning Under Uncertainty

Behdad

Berg

Thurston

et al. 2012

Volume 3: 38th Design Automation Conference, Parts a and B

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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. KeywordsComputer technology, Nonlinear programming, Uncertainty Disciplines Mechanical Engineering

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A review of current research on disassembly sequence generation and computer aided design for disassembly

Cited by 37 publications

References 75 publications

Research of Partial Destructive based Selective Disassembly Sequence Planning

Research of Partial Destructive based Selective Disassembly Sequence Planning

Immersive Computing Technology to Investigate Tradeoffs Under Uncertainty in Disassembly Sequence Planning

Integrating Immersive Computing Technology With Mixed-Integer Nonlinear Programming for Disassembly Sequence Planning Under Uncertainty

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