Product cooperative disassembly sequence and task planning based on genetic algorithm

Tian, Yongting; Zhang, Xiufen; Liu, Zehua; Jiang, Xingyue; Xue, Junfeng

doi:10.1007/s00170-019-04241-9

Cited by 23 publications

(13 citation statements)

References 51 publications

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“…Serial disassembly sequence planning problems consist mostly of theoretical research and are not practically applied [ 31 ]. In the complete serial disassembly sequence planning, one component is disassembled at a time until the product is completely disassembled.…”

Section: Discussionmentioning

confidence: 99%

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A Predictive Approach for Disassembly Line Balancing Problems

Paprocka

Skołud

2022

Sensors

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In selective serial disassembly sequence planning, when the target node (component) is reached, the selective disassembly task is completed and the refurbished component is repaired, reused or remanufactured. Since the efficient utilization of existing resources is necessary, it is crucial to predict disassembly operation times and the condition of joints for recycling, reusing or remanufacturing. The method of estimating the disassembly times of a joint if it is intended for remanufacturing, recycling and reuse is an important and urgent requirement for research development and results. The aim of the paper is to investigate the disassembly system with predicted operation times and the quality of product connections (joints) in order to balance the line smoothness index, to minimize a line time factor, line efficiency and profit and minimize an ex post error. Disassembly times for remanufacturing, recycling and reuse are estimated separately based on the historical data of disassembly times and the quality of joints. The presented estimation method of disassembly operation times increases the reliability and efficiency of elaborated balances of tasks in lines. Underestimated disassembly operation times can be compensated for during the idle points in the successive cycles, provided that the transport operations are performed manually and that travel time determines the cycle time.

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Section: Discussionmentioning

confidence: 99%

“…Each product i = 1,…, d i is described by the disassembly graph model [ 31 ],

, where set

describes disassembly joints represented by nodes in a graph. Edge set

describes the relationship constraints between successive nodes,

and

where

.…”

Section: Problem Definition Assumptions and Notationmentioning

confidence: 99%

A Predictive Approach for Disassembly Line Balancing Problems

Paprocka

Skołud

2022

Sensors

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“…Disassembly line balancing problems, including the ones involving multiple products with different models, are NP-hard, as a special case of the bin packing problem [16], and could be solved using mixed-integer mathematical programming [12], followed by utilizing a variant of genetic algorithms, which makes use of chromosome evolution rules, e.g. operators performing mutation, crossover or selection [32]. For example, the Many-objective Best-order-sort Genetic Algorithm, which involves its own neighborhood search operator, two genetic operators, encoding/decoding scheme and best-order-sort mechanism, could be utilized [15].…”

Section: Sequence Planningmentioning

confidence: 99%

“…Operator task allocation is an essential component of the process of Cooperative Assembly/Disassembly Sequence and Task Planning, which determine the task sequence of each operator, as well as the time taken to perform each sequence. They could be performed using Genetic Algorithms, based on the associated Disassembly Hybrid Graph Model [32]. A major benefit of HRC arises from the opportunity to use remote lead-through control strategies based on a Cyber-Physical System 16 , possibly using a model-based display, which obviates the necessity of a human operator being physically present in a hazardous operational site, such as dusty, high-pressure or high-temperature environments [94].…”

Section: F Human-robot Collaborationmentioning

confidence: 99%

Industry 4.0 and Prospects of Circular Economy: A Survey of Robotic Assembly and Disassembly

Daneshmand¹,

Noroozi²,

Corneanu³

et al. 2021

Preprint

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Despite their contributions to the financial efficiency and environmental sustainability of industrial processes, robotic assembly and disassembly have been understudied in the existing literature. This is in contradiction to their importance in realizing the Fourth Industrial Revolution. More specifically, although most of the literature has extensively discussed how to optimally assemble or disassemble given products, the role of other factors has been overlooked. For example, the types of robots involved in implementing the sequence plans, which should ideally be taken into account throughout the whole chain consisting of design, assembly, disassembly and reassembly. Isolating the foregoing operations from the rest of the components of the relevant ecosystems may lead to erroneous inferences toward both the necessity and efficiency of the underlying procedures. In this paper we try to alleviate these shortcomings by comprehensively investigating the state-of-the-art in robotic assembly and disassembly. We consider and review various aspects of manufacturing and remanufacturing frameworks while particularly focusing on their desirability for supporting a circular economy.

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“…Disassembly is one of the key steps in remanufacturing. According to the depth of the disassembly, dismounting technology, and degree of automation, disassembly can be divided into several categories, such as the serial, parallel, partial destructive, and normal disassembly [2][3][4][5][6]. A reasonable remanufacturing disassembly mode can improve the mass disassembly efficiency and reduce the remanufacturing cost.…”

Section: Introductionmentioning

confidence: 99%

Multi-granularity feasibility evaluation method of the partial destructive disassembly for an end-of-life product

Guo

Zhang

2021

Int J Adv Manuf Technol

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Partial destructive disassembly (PDD) is essential for end-of-life products to improve their automatic disassembly efficiency and reduce disassembly cost. A feasibility evaluation of the PDD is the key step to evaluate whether the PDD can be implemented. However, it has not been studied previously to our knowledge. To deal with this problem, a multi-granularity feasibility evaluation method is proposed. A multi-granularity feasibility evaluation model of the PDD was constructed based on the complex product's hierarchical structure, which not only described the evaluation indices from the product level to the component level but also presented methods and rules to quantify them. 1Thus, disassembly entropy was introduced into the target group's coarse granularity evaluation.

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Product cooperative disassembly sequence and task planning based on genetic algorithm

Cited by 23 publications

References 51 publications

A Predictive Approach for Disassembly Line Balancing Problems

A Predictive Approach for Disassembly Line Balancing Problems

Industry 4.0 and Prospects of Circular Economy: A Survey of Robotic Assembly and Disassembly

Multi-granularity feasibility evaluation method of the partial destructive disassembly for an end-of-life product

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