Environmental issue in an integrated production and maintenance control of unreliable manufacturing/remanufacturing systems

Ndhaief, Nadia; Rezg, Nidhal; Hajji, Adnène; Bistorin, Olivier

doi:10.1080/00207543.2019.1650212

Cited by 20 publications

(11 citation statements)

References 34 publications

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“…In area, Xu and Cao (2014) study energy efficiency improvements through effective maintenance operations scheduling, and Hoang, Do, and Iung (2017) propose an energy efficiency indicator and the concept of Remaining Energy Efficiency Lifetime (REEL) to support maintenance decision-making. Moreover, Ndhaief et al (2020) investigate the modelling of joint production and maintenance plans with carbon emission constraints.…”

Section: Sustainability and Maintenancementioning

confidence: 99%

Exploring the impacts and contributions of maintenance function for sustainable manufacturing

Holgado

Macchi

Evans

2020

International Journal of Production Research

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This investigation studies advanced practitioners of maintenance management and seeks to uncover the related impacts and contributions of best practice maintenance toward sustainable manufacturing operations. This exploratory research conducted a novel empirical analysis focused on maintenance functions in nine manufacturing companies from diverse sectors.The analysis uncovered insights related to the economic, environmental, and social benefits of a deeper involvement of maintenance function in plant operations and decision-making. We observed links of maintenance function with product competitiveness and with energy management activities that were unexpected. We confirmed benefits from keeping machinery in good working conditions and restoring promptly good working conditions when an issue happens. The depth of maintenance contribution on each area identified in this study will depend on the operational and business context of the manufacturing company; thus, companies need to reflect on these based on their specific processes, business needs and goals. Ultimately, this work can inspire managers in manufacturing companies to organise maintenance function strategically toward fostering long-term competitive, responsible and sustainable performance.

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Section: Sustainability and Maintenancementioning

confidence: 99%

Exploring the impacts and contributions of maintenance function for sustainable manufacturing

Holgado

Macchi

Evans

2020

International Journal of Production Research

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“…Compared with the similar direction of literatures, in addition to quality control [17] and uncertain optimization [18,30], this paper also has system integration. The data-driven remanufacturing assembly intelligent control system is a preliminary exploration of intelligent manufacturing methods and technologies.…”

Section: Discussionmentioning

confidence: 92%

“…Liu studied an integrated optimization control method for remanufacturing assembly system [17]. Ndhaief [18] addressed a joint production and maintenance problem under environmental constraints and reliability issues in a manufacturing/remanufacturing context. Liao has studied an environmental benefits and costs assessment model for remanufacturing process under quality uncertainty [19].…”

Section: Introductionmentioning

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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“…Compared with the similar direction of literatures, in addition to quality control [17] and uncertain optimization [18], this paper also has system integration. The intelligent control system of reassembly is a preliminary exploration of intelligent manufacturing methods and technologies.…”

Section: Discussionmentioning

confidence: 93%

“…An integrated optimization control method for reassembly system is built by Liu [17]. And a joint production and maintenance problem is addressed by Ndhaief under environmental constraints and reliability issues in a manufacturing/remanufacturing context [18]. Similarly, environmental benefits and costs assessment model for remanufacturing process under quality uncertainty is studied by Liao [19].…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Control System of Remanufacturing Assembly for Improving Quality and Production Efficiency

Liu

Cai

Zhu³

et al. 2021

Preprint

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Remanufacturing has been considered to be one of the most effective ways to deal with sustainable manufacturing. The integration of intelligent technology and remanufacturing assembly system is a necessary way for the development of remanufacturing industry. This paper proposes an intelligent control system for improving the quality and production efficiency of the remanufacturing assembly (reassembly) systems. First, the state space model of reassembly is constructed and deduced to reveal the quality transfer and coupling mechanism of reassembly process. An optimization model of the reassembly scheme is established for minimizing the comprehensive cost. Then, an intelligent control system for reassembly process is proposed, which is a real-time monitoring and dynamic compensation response to address abnormal quality and to achieve intelligent control of reassembly process. The data model, information perception and fusion technology, real-time monitoring and dynamic compensation of reassembly quality are studied and implemented. Finally, the prototype intelligent control system of reassembly is developed, which illustrates its practicability offering a technical support for sustainability of remanufacturing. It can monitor the abnormal quality in real time and make dynamic compensation response, and realize the intelligent control of reassembly process. It plays a positive role in improving quality, reducing cost and enhancing customer satisfaction. This intelligent control method is more suitable for the reassembly system of complex machinery, especially under uncertain operating environment.

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Environmental issue in an integrated production and maintenance control of unreliable manufacturing/remanufacturing systems

Cited by 20 publications

References 34 publications

Exploring the impacts and contributions of maintenance function for sustainable manufacturing

Exploring the impacts and contributions of maintenance function for sustainable manufacturing

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

An Intelligent Control System of Remanufacturing Assembly for Improving Quality and Production Efficiency

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