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Article
Publication date: 25 September 2009

Yuan Mao Huang and Yu‐Chung Liao

The purpose of this paper is to enhance the method developed by previous researchers. In addition to using the combined interference matrix, the combined connection matrix…

Abstract

Purpose

The purpose of this paper is to enhance the method developed by previous researchers. In addition to using the combined interference matrix, the combined connection matrix and the combined contact matrix of product components, the disassembly sequence matrix and the combined instability matrix with platform to evaluate instability of sub‐assemblies are built, and effects of changes of sub‐assembly disassembly directions or tools and the effect of gravity are considered to obtain the best disassembly sequence for a product with many components. A computer program is generated and results of two cases are compared with those of the available studies.

Design/methodology/approach

The methodology includes the combined interference matrix, the combined contact matrix and the combined connection matrix of components for a product. The combined instability matrix of sub‐assemblies, changes of sub‐assembly disassembly direction or tools, and the effect of gravity during operation are considered. The binary number system is used to simplify relations among components of a product.

Findings

This methodology enhances the existing method and software is generated. Results of two cases are compared and show the same optimum disassembly processes as those obtained from other researchers.

Research limitations/implications

All matrices are defined by the directions of x, y and z with three axes perpendicular to each other. The computer program generated cannot be used for a product with components that must be disassembled in the directions different from the axes.

Practical implications

Two cases are used to investigate feasibility of the proposed methodology with the computer program generated. The first one is an electric drill, and the second one is a flash lighter.

Originality/value

The methodology described in this paper is feasible for study of disassembly processes of products. The software generated can be used to obtain the optimum disassembly process of products.

Details

Assembly Automation, vol. 29 no. 4
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 17 May 2011

Lu Zhong, Sun Youchao, Okafor Ekene Gabriel and Wu Haiqiao

Maintenance disassembly that involves separating failed components from an assembly or system plays a vital role in line maintenance of civil aircraft, and it is necessary…

Abstract

Purpose

Maintenance disassembly that involves separating failed components from an assembly or system plays a vital role in line maintenance of civil aircraft, and it is necessary to have an effective and optimal sequence planning in order to reduce time and cost in maintenance. The purpose of the paper is to develop a more effective disassembly sequence planning method for maintenance of large equipment including civil aircraft systems.

Design/methodology/approach

The methodology involves the following steps: a component‐fastener graph is built to describe the equipment in terms of classifying components into two categories that are functional components and fasteners; interference matrix is developed to determine the removable component, and a disassembly sequence planning of functional components is proposed based on Dijkstra's algorithm; the disassembly sequence planning including fasteners is presented based on particle swarm optimization.

Findings

An application case, which takes the nose landing gear system of a regional jet as a study object, shows that the disassembly sequence planning method proposed in the paper can reduce the calculation complexity greatly, and its effectiveness is greater than that of a genetic algorithm‐based method, in most situations.

Practical implications

The method proposed herein can acquire the optimal maintenance disassembly sequence, which can reduce the cost and time for maintenance of large equipment.

Originality/value

A novel and effective disassembly sequence planning solution for maintenance of large equipment is presented, which can be applied to the line maintenance of civil aircraft.

Details

Aircraft Engineering and Aerospace Technology, vol. 83 no. 3
Type: Research Article
ISSN: 0002-2667

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Article
Publication date: 15 February 2013

Hui Wang, Dong Xiang, Yiming Rong and Linxuan Zhang

The purpose of this paper is to review the fundamental methodology and its development of intelligent disassembly planning research.

Abstract

Purpose

The purpose of this paper is to review the fundamental methodology and its development of intelligent disassembly planning research.

Design/methodology/approach

Following a brief introduction, this paper first discusses the fundamental problems associated with disassembly planning and analysis. And then considers the role of intelligent optimization methods in the disassembly planning field. This is followed by a summary and conclusion.

Findings

Many advances have been made in computerized intelligent disassembly planning research, which is a natural evolutionary result of both traditional solving methodology and much research effort over past two decades. But as yet, some fundamental limitations are also rooted in this computational model‐based methodology.

Originality/value

The paper provides a fundamental review on the development of computerized intelligent disassembly planning research.

Details

Assembly Automation, vol. 33 no. 1
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 1 June 2005

S. Kara, P. Pornprasitpol and H. Kaebernick

Aims to develop a selective disassembly methodology for generating an optimum disassembly sequence for end‐of‐life (EOL) products.

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2979

Abstract

Purpose

Aims to develop a selective disassembly methodology for generating an optimum disassembly sequence for end‐of‐life (EOL) products.

Design/methodology/approach

The paper presents a selective disassembly methodology for EOL products. In order to achieve this, Nevins and Whitney's methodology for assembly was modified. In addition, a Java‐based software was developed to speed up the generation of all possible disassembly sequences.

Findings

Finds that the methodology developed by Nevins and Whitney for assembly is applicable to disassembly process. In addition, the winnowing process for disassembly is much easier than for assembly because of the selective disassembly approach, which automatically provides a significant constraint on possible sequences.

Research limitations/implications

Provides an easy to use and visual disassembly sequence generation tool for end‐of‐life products.

Practical implications

Disassembly is one of the significant cost drivers in achieving close loop manufacturing. Application of the methodology proposed in this paper will significantly reduce the disassembly time by providing a disassembly sequence for the selected components with reuse potential.

Originality/value

Provides a graphical representation of disassembly sequences at different stages of the process, which allows the user to visualize the disassembly process.

Details

Assembly Automation, vol. 25 no. 2
Type: Research Article
ISSN: 0144-5154

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Book part
Publication date: 6 November 2013

Can B. Kalayci and Surendra M. Gupta

Disturbing increase in the use of virgin resources to produce new products has threatened the environment. Many countries have reacted to this situation through…

Abstract

Disturbing increase in the use of virgin resources to produce new products has threatened the environment. Many countries have reacted to this situation through regulations which aim to eliminate negative impact of products on the environment shaping the concept of environmentally conscious manufacturing and product recovery (ECMPRO). The first crucial and the most time-consuming step of product recovery is disassembly. The best productivity rate is achieved via a disassembly line in an automated disassembly process. In this chapter, we consider a sequence-dependent disassembly line balancing problem (SDDLBP) with multiple objectives that is concerned with the assignment of disassembly tasks to a set of ordered disassembly workstations while satisfying the disassembly precedence constraints and optimizing the effectiveness of several measures considering sequence-dependent time increments among disassembly tasks. Due to the high complexity of the SDDLBP, there is currently no known way to optimally solve even moderately sized instances of the problem. Therefore, an efficient methodology based on the simulated annealing (SA) is proposed to solve the SDDLBP. Case scenarios are considered and comparisons with ant colony optimization (ACO), particle swarm optimization (PSO), river formation dynamics (RFD), and tabu search (TS) approaches are provided to demonstrate the superior functionality of the proposed algorithm.

Details

Applications of Management Science
Type: Book
ISBN: 978-1-78190-956-0

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Article
Publication date: 1 March 2021

Mehran Mahmoudi Motahar and Seyed Hossein Hosseini Nourzad

A successful adaptive reuse process relies heavily on the strong performance of disassembly sequence planning (DSP), yet the studies in the field are limited to sequential…

Abstract

Purpose

A successful adaptive reuse process relies heavily on the strong performance of disassembly sequence planning (DSP), yet the studies in the field are limited to sequential disassembly planning (SDP). Since in sequential disassembly, one component or subassembly is removed with only one manipulator at a time, it can be a relatively inefficient and lengthy process for large or complex assemblies and cannot fully utilize the DSP benefits for adaptive reuse of buildings. This study aims to present a new hybrid method for the single-target selective DSP that supports both sequential and parallel approaches.

Design/methodology/approach

This study uses asynchronous parallel selective disassembly planning (aPDP) method, one of the newest and most effective parallel approaches in the manufacturing industry, to develop a parallel approach toward DSP in adaptive reuse of buildings. In the proposed method, three objectives (i.e. disassembly sequence time, cost and environmental impacts) are optimized using the Non-dominated Sorting Genetic Algorithm (NSGA-II).

Findings

The proposed method can generate feasible sequential solutions for multi-objective DSP problems as the sequence disassembly planning for buildings (SDPB) method, and parallel solutions lead to 17.6–23.4% time reduction for understudy examples. Moreover, in disassembly planning problems with more complex relations, the parallel approach generates more effective and time-efficient sequences.

Originality/value

This study introduces the parallel approach for the first time in this field. In addition, it supports both sequential and parallel approaches as a novel strategy that enables the decision-makers to select the optimum approach (i.e. either the parallel or the sequential approach) for DSP. Moreover, a metaheuristic method (i.e. NSGA-II) is adopted as the optimization tool with robust results in the field in which those heuristic methods have only been employed in the past.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 31 July 2009

Hongbo Shan, Shenhua Zhou and Zhihong Sun

The purpose of this paper is to propose a novel method under the name of genetic simulated annealing algorithm (GSAA) and ant colony optimization (ACO) algorithm for…

Abstract

Purpose

The purpose of this paper is to propose a novel method under the name of genetic simulated annealing algorithm (GSAA) and ant colony optimization (ACO) algorithm for assembly sequence planning (ASP) which is possessed of the competence for assisting the planner in generating a satisfied and effective assembly sequence with respect to large constraint assembly perplexity.

Design/methodology/approach

Based on the genetic algorithm (GA), simulated annealing, and ACO algorithm, the GSAA are put forward. A case study is presented to validate the proposed method.

Findings

This GSAA has better optimization performance and robustness. The degree of dependence on the initial assembly sequence about GSAA is decreased. The optimization assembly sequence still can be obtained even if the assembly sequences of initial population are infeasible. By combining GA and simulated annealing (SA), the efficiency of searching and the quality of solution of GSAA is improved. As for the presented ACO algorithm, the searching speed is further increased.

Originality/value

Traditionally, GA heavily depends on the choosing original sequence, which can result in early convergence in iterative operation, lower searching efficiency in evolutionary process, and non‐optimization of final result for global variable. Similarly, SA algorithms may generate a great deal of infeasible solutions in the evolution process by generating new sequences through exchanging position of the randomly selected two parts, which results in inefficiency of the solution‐searching process. In this paper, the proposed GSAA and ACO algorithm for ASP are possessed of the competence for assisting the planner in generating a satisfied and effective assembly sequence with respect to large constraint assembly perplexity.

Details

Assembly Automation, vol. 29 no. 3
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 1 October 2005

Anoop Desai and Anil Mital

This paper seeks to present a methodology to design products for disassembly. This would facilitate end‐of‐life product disassembly with a view to maximizing material…

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2154

Abstract

Purpose

This paper seeks to present a methodology to design products for disassembly. This would facilitate end‐of‐life product disassembly with a view to maximizing material usage in the supply chain at a low cost to the environment.

Design/methodology/approach

The methodology presented in the paper draws on fundamentals related to task analysis and motion time measurement. The methodology was practically applied to disassemble several different consumer products with significant savings in time.

Findings

Several improvements in product design resulted from various perspectives including functionality, assembly, aesthetics and disassembly.

Research limitations/implications

The paper identifies several areas of future research including design optimization and designing work fixtures for disassembly.

Originality/value

This work presents in part an improvement in current methodologies related to disassembly as well as original work based on task analysis and suggestion of design alternatives. The paper is therefore valuable to practitioners and researchers alike.

Details

Journal of Manufacturing Technology Management, vol. 16 no. 7
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 5 October 2018

Jun Guo, Jingcheng Zhong, Yibing Li, Baigang Du and Shunsheng Guo

To improve the efficiency of end-of-life product’s disassembly process, this paper aims to propose a disassembly sequence planning (DSP) method to reduce additional…

Abstract

Purpose

To improve the efficiency of end-of-life product’s disassembly process, this paper aims to propose a disassembly sequence planning (DSP) method to reduce additional efforts of removing parts when considering the changes of disassembly directions and tools.

Design/methodology/approach

The methodology has three parts. First, a disassembly hybrid graph model (DHGM) was adopted to represent disassembly operations and their precedence relations. After representing the problem as DHGM, a new integer programming model was suggested for the objective of minimizing the total disassembly time. The objective takes into account several criteria such as disassembly tools change and the change of disassembly directions. Finally, a novel hybrid approach with a chaotic mapping-based hybrid algorithm of artificial fish swarm algorithm (AFSA) and genetic algorithm (GA) was developed to find an optimal or near-optimal disassembly sequence.

Findings

Numerical experiment with case study on end-of-life product disassembly planning has been carried out to demonstrate the effectiveness of the designed criteria and the results exhibited that the developed algorithm performs better than other relevant algorithms.

Research limitations/implications

More complex case studies for DSP problems will be introduced. The performance of the CAAFG algorithm can be enhanced by improving the design of AFSA and GA by combining them with other search techniques.

Practical implications

DSP of an internal gear hydraulic pump is analyzed to investigate the accuracy and efficiency of the proposed method.

Originality/value

This paper proposes a novel CAAFG algorithm for solving DSP problems. The implemented tool generates a feasible optimal solution and the considered criteria can help the planer obtain satisfactory results.

Details

Assembly Automation, vol. 39 no. 1
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 17 February 2012

Joseph Chiodo and Nick Jones

Smart materials (SMs) have the potential for facilitating active disassembly (AD). Select SMs are used in the design of devices to aid product disassembly. The purpose of…

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4608

Abstract

Purpose

Smart materials (SMs) have the potential for facilitating active disassembly (AD). Select SMs are used in the design of devices to aid product disassembly. The purpose of this paper is to compare different AD approaches and highlight future work and potential.

Design/methodology/approach

This work is a survey of the collated AD research employing only Smart and “made Smart” materials work from various published work in the field from companies and academia since its original invention. The introduction gives general discussion of AD with cost implications and how the technology could offer very lean dismantling. An overview of the history of the work is given with the context of the implications for the need for a technology like AD to retain critical materials.

Findings

Besides a survey to date, comparisons were made of each AD technology application highlighting advantages and challenges. Comparisons were also made prior to this in alternative disassembly strategies to give context to the potential usefulness of the technology.

Practical implications

Only AD with SMs or “made Smart” were highlighted with some considerations for potential candidates.

Originality/value

A survey of AD work only employing SMs and “made‐Smart” materials to date. Comparisons of each AD application were made highlighting advantages and challenges. Comparisons were made between AD and alternative disassembly strategies to give context to the potential usefulness of the technology. The conclusion included an overview of work with consideration for future work. A candidate technology with the most potential was discussed.

Details

Assembly Automation, vol. 32 no. 1
Type: Research Article
ISSN: 0144-5154

Keywords

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