A review on remanufacturing assembly management and technology

Liu, Conghu; Zhu, Qinghua; Wei, Fangfang; Rao, Weizhen; Liu, Junjun; Hu, Jing; Cai, Wei

doi:10.1007/s00170-019-04617-x

Cited by 55 publications

(21 citation statements)

References 90 publications

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“…It is an effective method to deal with the uncertainty of remanufacturing production. Multi-variety, small-batch and individualized for remanufacturing customer requirements [31], uncertain, complex and dynamic remanufacturing assembly process, as well as multi-objective requirements of excellent quality, high efficiency, energy conservation, material saving and environmental protection, urgently need the organic combination of intelligent manufacturing technology and remanufacturing assembly system [32]. Therefore, it is important to study data-driven remanufacturing assembly intelligent control system for production and resource efficiency of remanufacturing industry.…”

Section: Discussionmentioning

confidence: 99%

Data-driven remanufacturing assembly intelligent control system for improving resource and production efficiency

Liu

Cai

Zhu³

et al. 2020

Preprint

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Remanufacturing has been considered to be one of the most effective ways to deal with sustainable manufacturing. This paper proposes a data-driven intelligent control system for improving the production and resource efficiency of the remanufacturing assembly systems. First, an optimization model of the reassembly scheme is established for minimizing the quality loss and comprehensive cost. Remanufactured parts are measured, grouped, coded, and dimensional chain calculated based on the data acquisition and processing technology. Then, an intelligent control method for remanufacturing assembly process is proposed, which is a real-time monitoring and dynamic compensation response to abnormal quality to achieve intelligent control of reassembly process. The intelligent control information system that include information perception and fusion technology, real-time monitoring and dynamic compensation architecture are studied and implemented through data-driven technologies. Finally, a case study illustrates its practicability offering a technical support for sustainability of remanufacturing.

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Section: Discussionmentioning

confidence: 99%

Data-driven remanufacturing assembly intelligent control system for improving resource and production efficiency

Liu

Cai

Zhu³

et al. 2020

Preprint

Self Cite

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“…On the other hand, the use of clean energy should be increased, and the environmental pollution caused by harmful gas emissions should be reduced [41][42][43]. For example, in the selection of handling equipment, the logistics park may tend to choose new energy equipment.…”

Section: Implementing Green Logistics To Reduce Waste Dischargementioning

confidence: 99%

Study on the Sustainability Evaluation Method of Logistics Parks Based on Emergy

Wang

Liu²,

Yu³

et al. 2020

Processes

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To improve the sustainable development ability of logistics parks, this study constructs a sustainability evaluation method of logistics parks based on emergy; analyzes the input (energy, land, investment, equipment, information technology, and human resources) and output (income and waste) of logistics parks from the perspective of emergy; studies the characteristics of the emergy flow of logistics parks; and constructs the function, structure, ecological efficiency, and sustainable development indexes of logistics parks. The basic situation, resource efficiency, and environmental friendliness of the logistics parks are comprehensively evaluated from the emergy point of view. On this basis, targeted decision suggestions are provided for the sustainable development of logistics parks. Finally, the feasibility and effectiveness of the method are verified by an example. This study reveals the internal relationship among economic, environmental, and social benefits of logistics parks through emergy and provides theoretical and methodological support for the sustainable development of logistics parks.

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“…(3) The buffer capacity between machine groups is finite [23][24], that is, the machine will stop working because of blockage.…”

Section: Mathematical Model Of the Manufacturing Systemmentioning

confidence: 99%

Integrated Control Policy for a Multiple Machines and Multiple Product Types Manufacturing System Production Process with Uncertain Fault

You

Guo

et al. 2020

Processes

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The optimization of production cost has always been a key issue in manufacturing systems; for the single product type manufacturing systems, lots of research studies have proved the validity of the hedging point control policy in production cost control. However, due to the complexity of the multiple machines and multiple product types manufacturing systems with uncertain fault, it is difficult to achieve a good control effect only by using the hedging point control policy. To optimize the total production cost under constantly changing demands, an integrated control policy that combines the prioritized hedging point (PHP) control policy with the production capacity planning during production is proposed, and the decision variables are obtained by a particle swarm optimization (PSO) algorithm. The simulation experiments show the effectiveness of the proposed integrated control policy in production cost control for the multiple machines and multiple product types manufacturing system.

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A review on remanufacturing assembly management and technology

Cited by 55 publications

References 90 publications

Data-driven remanufacturing assembly intelligent control system for improving resource and production efficiency

Data-driven remanufacturing assembly intelligent control system for improving resource and production efficiency

Study on the Sustainability Evaluation Method of Logistics Parks Based on Emergy

Integrated Control Policy for a Multiple Machines and Multiple Product Types Manufacturing System Production Process with Uncertain Fault

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