Disassembly sequence planning in a disassembly cell context

Andrés, Carlos; Lozano, Sebastián; Adenso‐Díaz, Belarmino

doi:10.1016/j.rcim.2007.02.012

Cited by 53 publications

(20 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…F4-uncertainty in quality of arriving products: a relative frequency function which is used to measure the probability that a disassembly operation is required for a given product, which is characteristic of disassembly systems [12,34]. In order to generate the instances, for each task represents a scenario where almost all products arrive at the disassembly floor with all their components; the last scenario resembles assembly environments.…”

Section: Experimental Frameworkmentioning

confidence: 99%

“…Based on such formulation, Mar-Ortiz et al [6] define a set of neighborhood structures for the problem, which are implemented in a Tabu Search schema to analyze their behavior in a real-world instance. Andrés et al [12] propose a two-phase approach for determining the optimal disassembly sequence when the disassembly system has a cellular configuration. Finally, Mar-Ortiz et al [13] propose a variable neighborhood search (VNS) algorithm to solve a disassembly cell formation problem with demand variability under a reconfigurable approach.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A comparison of manufacturing and disassembly systems from a cellular configuration point of view

Mar-Ortiz

Adenso‐Díaz

González‐Velarde

2015

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Abstract:The main aim of this research is to analyze the differences between cellular manufacturing and cellular disassembly systems. While doing so, this paper makes a relevant contribution. It proposes a mathematical programming formulation for robust manufacturing and disassembly cell formation problems. A solution method based on the Tabu Search schema is adapted for both problems, and will be used for the comparison analysis. The fact that the Tabu Search algorithm has been effective in different cell formation approaches gives us confidence in its reliability, and although alternative metaheuristic approaches may be developed in the future, we opted for adapting this algorithm to the problem at hand, since our first aim is to obtain data to analyze the difference in the design of both types of production environments and not to develop new approaches to the cell formation problem. A full factorial design study is proposed in order to appraise the significance of controllable factors in cellular designs. Four dependent variables were considered in the

show abstract

Section: Experimental Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A comparison of manufacturing and disassembly systems from a cellular configuration point of view

Mar-Ortiz

Adenso‐Díaz

González‐Velarde

2015

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…They also urge to minimize the total system costs and maximize the machine reliabilities. Andrés et al (2007) examined a disassembly system with a cellular configuration. And they offered a twophase approach to determine the optimal disassembly sequence to achieve good utilization levels of the equipment Copuroglu (2000) solved the CF problem by simultaneous consideration of tool shearing in aviation industry.…”

Section: Introductionmentioning

confidence: 99%

Cellular Manufacturing Systems: Organization, Trends And Innovative Methods

Islier¹

2015

Alphanumeric

View full text Add to dashboard Cite

Interchangeability is the distinguishing feature of modern manufacturing. A huge production capacity to satisfy the people is reached thanks to that concept. Yet that prospect brought up a dilemma too. Efficient but inflexible flow lines for very limited product types on one side and unproductive flexible batch production for numerous diverse parts on the other side. The remedy is thought of as Cellular Manufacturing (CM). That seemed a brilliant idea but the proliferation of CM has never reached to the expected levels. This paper discusses the probable causes of this discontent by referring both academic and practical issues and tries to give some clues to improve the achievements of further CM applications by emphasizing of the contemporary tools like computer techniques, especially emerging approaches of artificial intelligence as well as organizational and social issues.

show abstract

“…Considering this uncertain feature of the product disassembly process, some scholars preliminarily discuss uncertain evaluation and planning problems of product disassembly recently. For example, some authors consider that, the removal operation is assumed to be an activity or event with the certain probability, however, based on this assumption, the determination of the optimal path of a disassembly process is merely a probabilistic planning problem (Andres et al 2007;Geiger and Zussmann 1996;Grochowski and Tang 2009). Tang and Grochowski (2008) considered the stochastic feature of disassembly time and the quality of disassembled subassemblies or components in a disassembly process, and analyzed the expected disassembly completion time, and expected the net profit of product disassembly based on the established generic model for the human-in-the-loop disassembly system.…”

Section: Introductionmentioning

confidence: 99%

Evaluation model and algorithm of product disassembly process with stochastic feature

Tian

Liu

Tian

et al. 2011

Clean Techn Environ Policy

View full text Add to dashboard Cite

Disassembly planning is considered as the optimization of disassembly sequences with the target of the shortest disassembly time, the lowest disassembly cost, and the minimum disassembly energy consumption. However, obsolete products suffer from the influence of a variety of uncertainties, the disassembly process of products has the strong uncertain feature. Traditionally, to account for this uncertainty, each removal operation or removal task is assumed to be an activity or event with certain probability, and the determination of the optimal path of a disassembly process is merely a probabilistic planning problem based on this assumption. In this article, based on the established stochastic disassembly network graph, combined with different disassembly decisionmaking criterion, typical stochastic models for disassembly time analysis are developed. In addition, a two-phase approach is proposed to solve the typical stochastic models. Initially, according to different removal probability density functions, disassembly probability density functions of feasible disassembly paths are determined by a timedomain method or frequency-domain method, and additionally, after the disassembly probability density functions have been obtained, the quantitative evaluation of a product disassembly process and stochastic optimization of feasible disassembly paths are realized by a numerical solution method. Finally, a numerical example is illustrated to test the proposed concepts and the effectiveness of the proposed approach.

show abstract

Disassembly sequence planning in a disassembly cell context

Cited by 53 publications

References 27 publications

A comparison of manufacturing and disassembly systems from a cellular configuration point of view

A comparison of manufacturing and disassembly systems from a cellular configuration point of view

Cellular Manufacturing Systems: Organization, Trends And Innovative Methods

Evaluation model and algorithm of product disassembly process with stochastic feature

Contact Info

Product

Resources

About