Disassembly sequence planning: Recent developments and future trends

Zhou, Zude; Liu, Jiayi; Pham, Duc Truong; Xu, Wenjun; Ramírez, F. Javier; Ji, Chunqian; Liu, Quan

doi:10.1177/0954405418789975

Cited by 111 publications

(64 citation statements)

References 137 publications

(548 reference statements)

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“…While the preeminent concentration in the discourse of ECMPRO investigates the logistical issues in environmentally-concerned manufacturing activities, the number of studies focusing on remanufacturing is exponentially increasing [38][39][40]. Accomplishing effective remanufacturing operations relies heavily on the design of well-established disassembly operations, since dismantling is the key enabler for selective separation of valuable parts and components to be used in remanufacturing [15,[41][42][43].…”

Section: Environmentally Conscious Manufacturing and Product Recoverymentioning

confidence: 99%

“…The facets of disassembly operations include a variety of aspects, including scheduling [44], design for disassembly [45], disassembly line balancing [46][47][48], disassembly sequencing [43,49], and disassembly-to-order systems [43,50,51]. Lambert and Gupta [52] introduced a comprehensive study of various approaches utilized in disassembly.…”

Section: Environmentally Conscious Manufacturing and Product Recoverymentioning

confidence: 99%

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Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain

2020

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Manufacturing and supply chain operations are on the cusp of an era with the emergence of groundbreaking technologies. Among these, the digital twin technology is characterized as a paradigm shift in managing production and supply networks since it facilitates a high degree of surveillance and a communication platform between humans, machines, and parts. Digital twins can play a critical role in facilitating faster decision making in product trade-ins by nearly eliminating the uncertainty in the conditions of returned end-of-life products. This paper demonstrates the potential effects of digital twins in trade-in policymaking through a simulated product-recovery system through blockchain technology. A discrete event simulation model is developed from the manufacturer’s viewpoint to obtain a data-driven trade-in pricing policy in a fully transparent platform. The model maps and mimics the behavior of the product-recovery activities based on predictive indicators. Following this, Taguchi’s Orthogonal Array design is implemented as a design-of-experiment study to test the system’s behavior under varying experimental conditions. A logistics regression model is applied to the simulated data to acquire optimal trade-in acquisition prices for returned end-of-life products based on the insights gained from the system.

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Section: Environmentally Conscious Manufacturing and Product Recoverymentioning

confidence: 99%

Section: Environmentally Conscious Manufacturing and Product Recoverymentioning

confidence: 99%

Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain

2020

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“…However, disassembly information model could be depicted by corresponding basic disassembly information list. Resolving the disassembly sequence planning problem is under the driving of certain constraints and goals [15]. Li et al [16] utilized the disassembly constraint graph to generate possible disassembly operations and genetic algorithm was employed to acquire optimal disassembly sequence.…”

Section: Introductionmentioning

confidence: 99%

A Novel Modular Disassembly Design Method for CNC Machine Tools based on PSOA and TOPSIS

Feng¹,

Wu²,

Zhai³

et al. 2020

Preprint

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Disassembly is one of the crucial issues for the green remanufacturing of obsolete CNC machine tools. Meanwhile, modular design method is the guarantee of disassembly rationality, which can maximize economic and environmental benefits. However, modular disassembly processes of CNC machine tools are more uncertainty in system structures and component conditions. On the basis of summarizing the existing research, disassembly module modeling of CNC machine tools is implemented. For one advantage, the rough set theory is utilized to cluster the parts into different disassembly modules. For another, disassembly information model is constructed by the disassembly multi-constrained graph. Secondly, multi-objective mathematical model which contains disassembly time, disassembly benefit and disassembly complexity is built. A novel particle swarm optimization algorithm (PSOA) improved by niche technology is applied to the disassembly sequence planning. Last but not least, this work also evaluates the disassembly scheme of CNC machine tools based on the technology for order preference by similarity to an ideal solution (TOPSIS). Evaluation indicator system is established and the comprehensive weight of evaluation indicators is determined by the respective advantages of entropy weight method (EWM) and analytic hierarchy process (AHP). A case study is conducted to illustrate the feasibility of the proposed models and methods. The results of this work can contribute to the selection of the optimal modular disassembly scheme of CNC machine tools.

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“…Remanufacturing is an important element of a circular economy, 1 even more so than recycling. 2 Disassembly is a key operation in remanufacturing, as it must be carried out successfully to enable the other steps in the process chain to take place.…”

Section: Introductionmentioning

confidence: 99%

A case study in human–robot collaboration in the disassembly of press-fitted components

Huang

Pham

Wang

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part B:

Self Cite

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Human–robot collaborative disassembly is an approach designed to mitigate the effects of uncertainties associated with the condition of end-of-life products returned for remanufacturing. This flexible semi-autonomous approach can also handle unpredictability in the frequency and numbers of such returns as well as variance in the remanufacturing process. This article focusses on disassembly, which is the first and arguably the most critical step in remanufacturing. The article presents a new method for disassembling press-fitted components using human–robot collaboration based on the active compliance provided by a collaborative robot. The article first introduces the concepts of human–robot collaborative disassembly and outlines the method of active compliance control. It then details a case study designed to demonstrate the proposed method. The study involved the disassembly of an automotive water pump by a collaborative industrial robot working with a human operator to take apart components that had been press-fitted together. The results show the feasibility of the proposed method.

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Disassembly sequence planning: Recent developments and future trends

Cited by 111 publications

References 137 publications

Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain

Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain

A Novel Modular Disassembly Design Method for CNC Machine Tools based on PSOA and TOPSIS

A case study in human–robot collaboration in the disassembly of press-fitted components

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