Academic literature on the topic 'Integrated disassembly line optimization'

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Journal articles on the topic "Integrated disassembly line optimization"

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Umeda, Yasushi. "Mini Special Issue on Design and Manufacturing for Environmental Sustainability." International Journal of Automation Technology 10, no. 5 (2016): 677. http://dx.doi.org/10.20965/ijat.2016.p0677.

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As the third special issue on Design and Manufacturing for Environmental Sustainability for IJAT, this issue focuses on design and manufacturing theories and methodologies for achieving environmental sustainability and the topic of the special issue seems to be becoming established in this journal. This special issue contains six articles consisting of a wide variety of rather novel topics emerging in the domain of design and manufacturing for environmental sustainability. The first three deal with design problem in the broader sense: designing of system of systems taking distributed energy ge
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Diri Kenger, Zülal, Çağrı Koç, and Eren Özceylan. "Integrated disassembly line balancing and routing problem." International Journal of Production Research 58, no. 23 (2020): 7250–68. http://dx.doi.org/10.1080/00207543.2020.1740346.

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Cao, Jianhua, Xuhui Xia, Lei Wang, Zelin Zhang, and Xiang Liu. "A Novel Multi-Efficiency Optimization Method for Disassembly Line Balancing Problem." Sustainability 11, no. 24 (2019): 6969. http://dx.doi.org/10.3390/su11246969.

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Disassembly is an indispensable part in remanufacturing process. Disassembly line balancing and disassembly mode have direct effects on the disassembly efficiency and resource utilization. Recent researches about disassembly line balancing problem (DLBP) either considered the highest productivity, lowest disassembly cost or some other performance measures. No one has considered these metrics comprehensively. In practical production, ignoring the ratio of resource input and value output within remanufacturing oriented disassembly can result in inefficient or pointless remanufacturing operations
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Duță, Luminița, Florin Gheorghe Filip, Jean-Michel Henrioud, and Ciprian Popescu. "Disassembly Line Scheduling with Genetic Algorithms." International Journal of Computers Communications & Control 3, no. 3 (2008): 270. http://dx.doi.org/10.15837/ijccc.2008.3.2395.

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Disassembly is part of the demanufacturing and it is meant to obtain components and materials from end-of-life products. An essential performance objective of a disassembly process is the benefits it brings, that is the revenue brought by the retrieved parts and material, diminished by the cost of their retrieval operations. A decision must be taken to balance an automatic disassembly line. A well balanced line will decrease the cost of disassembly operations. An evolutionary (genetic) algorithm is used to deal with the multi-criteria optimization problem of the disassembly scheduling.
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Meng, Wei, and Xiufen Zhang. "Optimization of Remanufacturing Disassembly Line Balance Considering Multiple Failures and Material Hazards." Sustainability 12, no. 18 (2020): 7318. http://dx.doi.org/10.3390/su12187318.

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End-of-life (EOL) electromechanical products often have multiple failure characteristics and material hazard attributes. These factors create uncertain disassembly task sequences and affect the remanufacturing cost, environmental sustainability, and disassembly efficiency of the remanufacturing disassembly line system. To address this problem, a novel multi-constraint remanufacturing disassembly line balancing model (MC-RDLBM) is constructed in this article, which accounts for the failure characteristics of the parts and material hazard constraints. To assign the disassembly task reasonably, a
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Liang, Junyong, Shunsheng Guo, Yunfei Zhang, Wenfang Liu, and Shengwen Zhou. "Energy-Efficient Optimization of Two-Sided Disassembly Line Balance Considering Parallel Operation and Uncertain Using Multiobjective Flatworm Algorithm." Sustainability 13, no. 6 (2021): 3358. http://dx.doi.org/10.3390/su13063358.

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The two-sided disassembly line is popular for its high-efficiency disassembly of large-volume end-of-life products. However, in the process of two-sided disassembly, some parts and components need to be disassembled in parallel, and the uncertainty of disassembly time lacks certain research. This paper constructs a fuzzy multiobjective two-sided disassembly line balance problem model based on parallel operation constraint, which aims to reduce the balance loss rate, smoothness index, and energy consumption of disassembly activities. A multiobjective flatworm algorithm based on the Pareto-domin
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Kalayci, Can B., and Surendra M. Gupta. "Ant colony optimization for sequence‐dependent disassembly line balancing problem." Journal of Manufacturing Technology Management 24, no. 3 (2013): 413–27. http://dx.doi.org/10.1108/17410381311318909.

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Diri Kenger, Zülal, Çağrı Koç, and Eren Özceylan. "Integrated disassembly line balancing and routing problem with mobile additive manufacturing." International Journal of Production Economics 235 (May 2021): 108088. http://dx.doi.org/10.1016/j.ijpe.2021.108088.

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Xia, Xuhui, Wei Liu, Zelin Zhang, Lei Wang, Jianhua Cao, and Xiang Liu. "A Balancing Method of Mixed-model Disassembly Line in Random Working Environment." Sustainability 11, no. 8 (2019): 2304. http://dx.doi.org/10.3390/su11082304.

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Disassembly is a necessary link in reverse supply chain and plays a significant role in green manufacturing and sustainable development. However, the mixed-model disassembly of multiple types of retired mechanical products is hard to be implemented by random influence factors such as service time of retired products, degree of wear and tear, proficiency level of workers and structural differences between products in the actual production process. Therefore, this paper presented a balancing method of mixed-model disassembly line in a random working environment. The random influence of structure
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Gao, Yicong, Qirui Wang, Yixiong Feng, Hao Zheng, Bing Zheng, and Jianrong Tan. "An Energy-Saving Optimization Method of Dynamic Scheduling for Disassembly Line." Energies 11, no. 5 (2018): 1261. http://dx.doi.org/10.3390/en11051261.

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Dissertations / Theses on the topic "Integrated disassembly line optimization"

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He, Junkai. "Effective models and methods for stochastic disassembly line problems." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASE009.

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L'étude du désassemblage des produits en fin de vie (EOL) sous incertitude est un sujet de recherche important en raison de ses avantages en termes de réduction de déchets, d'économie de ressources non-renouvelables et de protection de l'environnement. Les travaux existants sur les lignes de désassemblage supposent que l'information incertaine peut être estimée par des lois de probabilité ou par des fonctions et se focalisent seulement sur des problèmes stochastiques d'équilibrage de ces lignes. Cependant, il n'est pas toujours possible d'obtenir l'information incertaine complète dû à un manqu
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Gao, Youxin. "Interconnect optimization in deep sub-micron design under the transmission line model." Digital version:, 2000. http://wwwlib.umi.com/cr/utexas/fullcit?p9992795.

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Yu, Fang-Yu, and 游芳瑜. "Integrated Assembly and Disassembly Sequence Planning Using Particle Swarm Optimization." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/71243443290133843850.

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碩士<br>元智大學<br>工業工程與管理學系<br>97<br>In light of the raising environmental consciousness, there are more and more countries adopting policies on sustainability. European Union applied the Waste Electrical and Electronic Equipment regulations, which require the enterprises who sell the electrical product to Europe take the responsibility for recycling the product. Some research has shown that more than two thirds of products’ success is almost decided on the design stage. Therefore, product designers nowadays are encouraged to design their products based on the product life cycle. As a result, cons
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Book chapters on the topic "Integrated disassembly line optimization"

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Schiewe, Philine. "Integrating Line Planning, Timetabling, and Passenger Routing." In Integrated Optimization in Public Transport Planning. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46270-3_3.

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Singh, Rakshit Kumar, Amit Raj Singh, and Ravindra Kumar Yadav. "Disassembly Line Balancing Using Recursive Optimization in Presence of Task-Failure." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85906-0_48.

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Schiewe, Philine. "Integrating Line Planning, Timetabling, Passenger Routing and Vehicle Scheduling." In Integrated Optimization in Public Transport Planning. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46270-3_5.

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Galparoli, Simone, Andrea Caielli, Paolo Rosa, and Sergio Terzi. "Semi-automated PCB Disassembly Station." In New Business Models for the Reuse of Secondary Resources from WEEEs. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74886-9_4.

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AbstractThe main aim of the FENIX project is the development of new business models and industrial strategies for three novel supply chains in order to enable value-added product-services. Through a set of success stories coming from the application of circular economy principles in different industrial sectors, FENIX wants to demonstrate in practice the real benefits coming from its adoption. In addition, Key Enabling Technologies (KETs) will be integrated within the selected processes to improve the efficient recovery of secondary resources. In this sense, among the available KETs, the adoption of digital and advanced automated solutions allows companies to re-thinking their business strategies, trying to cope with even more severe environmental requirements. Among these technological solutions, the paradigm of Industry 4.0 (I4.0) is the most popular. I4.0 entails the development of a new concept of economic policy based on high-tech strategies and internet-connected technologies allowing the creation of added-value for organizations and society. Unlike the activities developed in T3.1, related to the development and implementation of simulation tools and models for the smartphones’ disassembly process optimization, here the attention has been spent in managing and optimizing a new semi-automated PCBs disassembly station. The disassembly of products is a key process in the treatment of Waste Electrical and Electronic Equipment. When performed efficiently, it enables the maximization of resources re-usage and a minimization of pollution. Within the I4.0 paradigm, collaborative robots (co-bots in short) can safely interact with humans and learn from them. This flexibility makes them suitable for supporting current CE practices, especially during disassembly and remanufacturing operations. D3.2 focuses on describing the semi-automated PCB disassembly process implemented at the POLIMI’s Industry 4.0 Lab, aiming to demonstrate in practice the benefits of exploiting I4.0 technologies in PCB disassembly processes. Results highlight how a semi-automated cell where operators and cobots works together can allow a better management of both repetitive and specific activities, the safe interaction of cobots with operators and the simple management of the high variability related with different kinds of PCBs.
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Vivet, Pascal, Edith Beigne, Hugo Lebreton, and Nacer-Eddine Zergainoh. "On Line Power Optimization of Data Flow Multi-core Architecture Based on Vdd-Hopping for Local DVFS." In Integrated Circuit and System Design. Power and Timing Modeling, Optimization, and Simulation. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17752-1_10.

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Vafaeipour, Majid, Dai-Duong Tran, Thomas Geury, Mohamed El Baghdadi, and Omar Hegazy. "Application of Ant Colony Optimization for Co-Design of Hybrid Electric Vehicles." In Ant Colony Optimization [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97559.

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One key subject matter for effective use of Hybrid Electric Vehicles (HEVs) is searching for drivetrains which their component dimensions and control parameters are co-optimally designed for a desired performance. This makes the design challenge as a problem, which needs to be addressed in a holistic way meeting various constraints. Along this line, the strong coupling between components sizes of a drivetrain and parameters of its controllers turns the optimal sizing and control design of HEVs into a Bi-level optimization problem. In this chapter, an important application of continuous Ant Colony Optimization (ACOR) for integrated sizing and control design of HEVs is thoroughly discussed for minimizing the drivetrain cost, minimizing the fuel consumption and addressing the control objectives at the meantime. The outcome of this chapter provides useful information related to incorporation of soft-computing, modeling and simulation concepts into optimization-based design of HEVs from all respects for designers and automotive engineers. It brings opportunities to the readers for understanding the criteria, constraints, and objective functions required for the optimal design of HEVs. Via introducing a two-folded iterative framework, fuel consumption and component sizing minimizations are of the main goals to be simultaneously addressed in this chapter using ACOR.
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Nishi, Tatsushi, and Masami Konishi. "An integrated optimization of production scheduling and logistics by a distributed decision making: Application to an aluminum rolling processing line." In Computer Aided Chemical Engineering. Elsevier, 2003. http://dx.doi.org/10.1016/s1570-7946(03)80606-5.

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Sivarajan, Ganesan, Jayakumar N., Balachandar P., and Subramanian Srikrishna. "Multi-Fuel Power Dispatch Considering Prohibited Operating Zones and Tie-Line Flow Limits Using Ant Lion Optimizer." In Advances in Computer and Electrical Engineering. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3970-5.ch012.

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The electrical power generation from fossil fuel releases several contaminants into the air, and these become excrescent if the generating unit is fed by multiple fuel sources (MFS). The ever more stringent environmental regulations have forced the utilities to produce electricity at the cheapest price and the minimum level of pollutant emissions. The restriction in generator operations increases the complexity in plant operations. The cost effective and environmental responsive operations in MFS environment can be recognized as a multi-objective constrained optimization problem. The ant lion optimizer (ALO) has been chosen as an optimization tool for solving the MFS dispatch problems. The fuzzy decision-making mechanism is integrated in the search process of ALO to fetch the best compromise solution (BCS). The intended algorithm is implemented on the standard test systems considering the prevailing operational constraints such as valve-point loadings, CO2 emission, prohibited operating zones and tie-line flow limits.
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Conference papers on the topic "Integrated disassembly line optimization"

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Liu, Bin, Wenjun Xu, Jiayi Liu, Bitao Yao, Zude Zhou, and Duc Truong Pham. "Human-Robot Collaboration for Disassembly Line Balancing Problem in Remanufacturing." In ASME 2019 14th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/msec2019-2919.

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Abstract Remanufacturing is able to reduce the environmental pollution and the manufacturing cost by recycling the end-of-life products. Disassembly is a critical step for the production process of remanufacturing. Traditional disassembly process is finished by either manual disassembly that has low efficiency or robotic disassembly that has low flexibility. Human-robot collaboration for disassembly integrates the advantages of manual disassembly and robotic disassembly, which has both high efficiency and high flexibility. For the design step of human-robot collaborative disassembly line, how
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Russo, Davide, and Dario Matina. "Structural Optimization and LCA for a Computer-Aided Sustainable Design." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70814.

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The present work sets the basis for the development of a systematic eco-sustainable computer aided design procedure. During years modules for the specific design of all phases of a product life-cycle have been developed: manufacturing, assembly, reliability, maintainability, resilience, disassembly, end-of-use, etc. This work instead places itself in a broader context of “Design for ecology”. It means to overcome the limits of a classic design process such as “Design for X”, through an approach that makes the designer aware of the consequences that each design modification (to the geometry, th
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McGovern, Seamus M., and Surendra M. Gupta. "Combinatorial optimization methods for disassembly line balancing." In Optics East, edited by Surendra M. Gupta. SPIE, 2004. http://dx.doi.org/10.1117/12.570493.

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Xu, Yunli, Bitao Yao, and Duc Truong Pham. "Research on Intelligent Optimization Algorithm for Multi-Objective Disassembly Line Balancing Problem." In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8269.

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Abstract For resource reutilization and environmental protection, remanufacturing gets more and more attention in many countries. Disassembly is a critical part of traditional manufacturing industry, but the traditional disassembly operation is mainly done by workers, which is low-efficiency. Now the use of robots can improve production efficiency a lot, which involves the problem of disassembly line balancing. Due to the constraints such as product complexity and precedence relationship between tasks, when the number of tasks increases, the combination scheme between tasks increases geometric
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Liping Ding, Wenliang Chen, Jianrong Tan, and Yixiong Feng. "Multi-objective disassembly line balancing via modified ant colony optimization algorithm." In 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA). IEEE, 2010. http://dx.doi.org/10.1109/bicta.2010.5645162.

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Fang, Yilin, Hongkai Wei, Quan Liu, Yongliang Li, Zude Zhou, and Duc Truong Pham. "Minimizing Energy Consumption and Line Length of Mixed-Model Multi-Robotic Disassembly Line Systems Using Multi-Objective Evolutionary Optimization." In ASME 2019 14th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/msec2019-2773.

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Abstract Robot helps to increase automation and economic benefits of disassembly line systems, and reduce risk to the human worker. For the robotic disassembly line, its energy consumption can be further optimized to reduce carbon dioxide emissions. In this paper, energy consumption of disassembly line systems is considered to be one of optimization objectives of disassembly line balancing problem. In the proposed model, the optimization objectives are to minimize the energy consumption and the line length (number of multi-robotic workstations and number of opened disassembly robots). To solve
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Jia, Liu, and Wang Shuwei. "A proposed multi-objective optimization model for sequence-dependent disassembly line balancing problem." In 2017 3rd International Conference on Information Management (ICIM). IEEE, 2017. http://dx.doi.org/10.1109/infoman.2017.7950420.

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Fang, Yilin, Hanke Zhang, Quan Liu, Zude Zhou, Bitao Yao, and Duc Truong Pham. "Interval Multi-Objective Evolutionary Optimization for Disassembly Line Balancing With Uncertain Task Time." In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8265.

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Abstract In the disassembly line balancing problem, the disassembly time of task is usually uncertain due to the influence of various factors. Interval number theory is very suitable to solve this problem. In this paper, a new interval mathematical model is proposed and the objectives are to minimize the cycle time and the total energy consumption of robots. To solve this problem, an evolutionary algorithm named γ based-NSGA-II for the interval multi-objective optimization is proposed. This algorithm directly solve the original interval multi-objective optimization problem by using interval Pa
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Wang, Liuan, Jun Sun, and Seiichi Uchida. "Text Line Extraction Based on Integrated K-Shortest Paths Optimization." In 2018 13th IAPR International Workshop on Document Analysis Systems (DAS). IEEE, 2018. http://dx.doi.org/10.1109/das.2018.68.

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Wang Dongyun, Zeng Ping, Li Luowei, and Wang Kai. "Assembly line balancing problem using Particle Swarm Optimization algorithm." In 2010 International Conference on Intelligent Computing and Integrated Systems (ICISS). IEEE, 2010. http://dx.doi.org/10.1109/iciss.2010.5655456.

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