Article
Computer Science, Information Systems
Carlos Ferreira, Gil Goncalves
Summary: The study focuses on the application of Life Extension Strategies (LES) within the industrial environment, particularly on Remanufacturing and Refurbishment (R/R) strategies. Through a systematic literature review, it was found that these strategies have potential applications in various industries, leading to benefits such as life extension, cost-saving, and efficiency enhancement.
Article
Green & Sustainable Science & Technology
Frank Figge, Stanko Dimitrov, Rainer Schlosser, Regis Chenavaz
Summary: Efficient use of natural resources is necessary for sustainability, and a circular economy and extending product lifetimes are strategies to increase resource efficiency. However, this article argues that in a fully circular economy, consumers are incentivized to discard products more quickly, which conflicts with the goal of extending product use. Closing resource loops and transitioning to a circular economy may incentivize more unsustainable behavior.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Chemistry, Multidisciplinary
Ming Zhang, Nasser Amaitik, Zezhong Wang, Yuchun Xu, Alexander Maisuradze, Michael Peschl, Dimitrios Tzovaras
Summary: Remanufacturing is a crucial activity in the circular economy model, aiming to prolong the lifespan of products and materials and reduce resource waste. This research proposes a predictive maintenance framework that combines remaining useful life prediction and condition monitoring methods, which has been proven effective through experimentation.
APPLIED SCIENCES-BASEL
(2022)
Article
Green & Sustainable Science & Technology
Elzbieta Pawlik, Winifred Ijomah, Jonathan Corney, Daryl Powell
Summary: This paper presents multiple case studies on the application of lean methods in industrial remanufacturing operations, identifying specific methods that improve productivity and discussing factors that limit the application of lean practices. Matrices for opportunities and threats are developed to simplify the adoption of these findings.
Article
Green & Sustainable Science & Technology
Ajith Tom James, Girish Kumar, Jasmin James, Mohammad Asjad
Summary: This paper aims to develop a framework for measuring the circular economy performance of automobile garages. Various attributes of circular economy performance are identified through literature review and visits to garages. A graph theoretical approach is used to model the interrelationships among attributes, resulting in the development of a circular economy performance index. The framework is implemented in an Indian automobile OEM's dealer facility, with a low performance index indicating the need for improvement in circular economy initiatives.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
R. S. Harris, W. L. Ijomah, J. F. C. Windmill
Summary: This paper introduces the aims and purposes of the Damage Assessment Tracking Criteria, which is a series of evaluation tools for remanufacturing inspection operations. The model was evaluated multiple times, including an academic review and external industrial reviews. The results were positive and the value of the model was acknowledged by industry practitioners.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Michelle Uriarte-Ruiz
Summary: This study aims to identify the obstacles to creating a circular economy for mobile phones in Greater Mexico City. The findings suggest that consumers are not solely driven by individual desires and novelty, but that the illicit market for stolen phones and short mobile services contracts also incentivize premature disposal and replacement. Additionally, the high level of insecurity perception and pedestrian mugging in GMC have significantly increased mobile stockpiling.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Studies
Xuning Zhuang, Xiaolong Song, Hui Yang, Di Zhao, Wenjie Wu, Jing Zhao
Summary: As an advanced form of circular economy, remanufacturing can effectively reduce the energy and resource consumption, as well as environmental emission in the whole product life cycle. This research proposed a new system boundary definition with a multi-life cycle perspective to quantify the energy saving and GHG mitigation benefits of product remanufacturing, based on a case of spark plug remanufacturing. The results show that remanufacturing exhibit significant energy saving and GHG mitigation benefits over the whole life cycle of spark plug.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Green & Sustainable Science & Technology
Jelena Kurilova-Palisaitiene, Erik Sundin, Tomohiko Sakao
Summary: This paper demonstrates that despite the underestimation of remanufacturing in the circular economy framework, it can still retain the highest product value and outperform other value-retaining processes in terms of quality and product use time.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Sasha Shahbazi, Kerstin Johansen, Erik Sundin
Summary: This study investigates the connection between remanufacturing, product design, and automation through multiple case studies. The main incentives for automating remanufacturing processes are related to the work environment, efficiency, and quality. In addition, several design guidelines can facilitate automated remanufacturing processes.
Article
Green & Sustainable Science & Technology
Aleksandra Wewer, Pinar Bilge, Franz Dietrich
Summary: The study examines the environmental impacts and energy demand of lithium ion batteries in their second life applications, emphasizing the energy savings compared to new battery manufacturing and old battery recycling.
Article
Green & Sustainable Science & Technology
Rudrajeet Pal, Yasaman Samie, Armaghan Chizaryfard
Summary: This study explores how process-level challenges can be addressed to improve scalability in fashion remanufacturing. Through a systematic literature review and case study, the research highlights the importance of achieving process-level scalability, particularly by focusing on low degree of coupling, high level of formalization of activities, and low skill specificity.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Business
Saumyaranjan Sahoo, Suresh Kumar Jakhar
Summary: As regulatory authorities highlight the importance of sustainable practices, manufacturing organizations are utilizing Industry 4.0 technologies to transition their business model from linear to circular economies. This study analyzed empirical data from 278 Indian manufacturers using structural equation modeling, and the results indicate that the adoption of Industry 4.0 technologies significantly impacts the circular economy performance within these organizations. This impact is primarily due to the influence on green procurement and remanufacturing activities, with these process activities mediating the relationship between Industry 4.0 deployment and circular economy performance.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Pasi Ronkko, Sayed Mohammad Ayati, Jukka Majava
Summary: Regional remanufacturing can reduce logistics costs and improve the availability of components, but it also faces challenges such as resource shortages and insufficient economies of scale.
Article
Engineering, Environmental
Kali Frost, Ines Sousa, Joanne Larson, Hongyue Jin, Inez Hua
Summary: This study evaluated a pilot-scale R&R process for RE magnet assemblies and compared the environmental impacts using life cycle assessment (LCA). The results showed an 86% reduction in global warming potential and highlighted the benefits of collocated R&R process with data centers.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Engineering, Industrial
Mateusz Oszczypala, Jakub Konwerski, Jaroslaw Ziolkowski, Jerzy Malachowski
Summary: This article discusses the issues related to the redundancy of k-out-of-n structures and proposes a probabilistic and simulation-based optimization method. The method was applied to real transport systems, demonstrating its effectiveness in reducing costs and improving system availability and performance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Wencheng Huang, Haoran Li, Yanhui Yin, Zhi Zhang, Anhao Xie, Yin Zhang, Guo Cheng
Summary: Inspired by the theory of degree entropy, this study proposes a new node identification approach called Adjacency Information Entropy (AIE) to identify the importance of nodes in urban rail transit networks (URTN). Through numerical and real-world case studies, it is found that AIE can effectively identify important nodes and facilitate connections among non-adjacent nodes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Liwei Chen
Summary: This paper discusses the four phases of the system life cycle and the different costs associated with each phase. It proposes an improvement importance method to optimize system reliability and analyzes the process of failure risk under limited resources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Xian Zhao, Chen Wang, Siqi Wang
Summary: This paper proposes a new rebalancing strategy for balanced systems by switching standby components. Different switching rules are provided based on different balance conditions. The system reliability is derived using the finite Markov chain imbedding approach, and numerical examples and sensitivity analysis are presented for validation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Fengyuan Jiang, Sheng Dong
Summary: Corrosion defects are the primary causes of pipeline burst failures. The traditional methodologies ignore the effects of random morphologies on failure behaviors, leading to deviations in remaining strength estimation and reliability analysis. To address this issue, an integrated methodology combining random field, non-linear finite element analysis, and Monte-Carlo Simulation was developed to describe the failure behaviors of pipelines with random defects.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Guoqing Cheng, Jiayi Shen, Fang Wang, Ling Li, Nan Yang
Summary: This paper investigates the optimal joint inspection and mission abort policies for a multi-component system with failure interaction. The proportional hazards model is used to characterize the effect of one component's deterioration on other components' hazard rates. The optimal policy is studied to minimize the expected total cost, and some structural properties of the optimal policy are obtained.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Shaomin Wu
Summary: A new resilience model is proposed in this paper for systems under competing risks, and related indices are introduced for evaluating the system's resilience. The model takes into account the degradation process, external shocks, and maintenance interactions of the system, and its effectiveness is demonstrated through a case study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yang Li, Jun Xu
Summary: This paper proposes a translation model based on neural network for simulating non-Gaussian stochastic processes. By converting the target non-Gaussian power spectrum to the underlying Gaussian power spectrum, non-Gaussian samples can be generated.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yanyan Liu, Keping Li, Dongyang Yan
Summary: This paper proposes a new random walk method, CBDRWR, to analyze the potential risk of railway accidents. By combining accident causation network, we assign different restart probabilities to each node and improve the transition probabilities. In the case study, the proposed method effectively quantifies the potential risk and identifies key risk sources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Nan Hai, Daqing Gong, Zixuan Dai
Summary: The current risk management of utility tunnel operation and maintenance is of low quality and efficiency. This study proposes a theoretical model and platform that offer effective decision support and improve the safety of utility tunnel operation and maintenance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Tomoaki Nishino, Takuya Miyashita, Nobuhito Mori
Summary: A novel modeling methodology is proposed to simulate cascading disasters triggered by tsunamis considering uncertainties. The methodology focuses on tsunami-triggered oil spills and subsequent fires and quantitatively measures the fire hazard. It can help assess and improve risk reduction plans.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Mingjiang Xie, Yifei Wang, Jianli Zhao, Xianjun Pei, Tairui Zhang
Summary: This study investigates the effect of rockfall impact on the health management of pipelines with fatigue cracks and proposes a crack propagation prediction algorithm based on rockfall impact. Dynamic SIF values are obtained through finite element modeling and a method combining multilayer perceptron with Paris' law is used for accurate crack growth prediction. The method is valuable for decision making in pipeline reliability assessment and integrity management.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Saeed Jamalzadeh, Lily Mettenbrink, Kash Barker, Andres D. Gonzalez, Sridhar Radhakrishnan, Jonas Johansson, Elena Bessarabova
Summary: This study proposes an integrated epidemiological-optimization model to quantify the impacts of weaponized disinformation on transportation infrastructure and supply chains. Results show that disinformation targeted at transportation infrastructure can have wide-ranging impacts across different commodities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Jiaxi Wang
Summary: This paper investigates the depot maintenance packet assignment and crew scheduling problem for high-speed trains. A mixed integer linear programming model is proposed, and computational experiments show the effectiveness and efficiency of the improved model compared to the baseline one.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yuxuan Tian, Xiaoshu Guan, Huabin Sun, Yuequan Bao
Summary: This paper proposes a DFMs searching algorithm based on the graph neural network (GNN) to improve computational efficiency and adaptively identify DFMs. The algorithm terminates prematurely when unable to identify new DFMs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)