Article
Computer Science, Interdisciplinary Applications
Susumu Okumura
Summary: Reusing end-of-life products is an effective way to reduce environmental waste. This study develops a reuse-efficiency model to quantitatively evaluate the extent of reuse of these products. The model takes into account factors such as product durability, collection rate of end-of-life products, and maximum number of reuse cycles. The study aims to maximize the reuse efficiency per unit cost to determine the optimal product durability, collection rate, and maximum reuse cycles. The findings provide insights for promoting product redistribution and reuse, contributing to an improved circular economy.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Environmental Studies
Hafiz Usman Ghani, Awais Mahmood, Matthias Finkbeiner, Martin Kaltschmitt, Shabbir H. Gheewala
Summary: This study aims to develop a new approach for eco-efficiency assessment based on absolute sustainability, in order to address environmental challenges. Through a case study in the food sector, it was found that the environmental impacts of rice production in Pakistan exceeded sustainable limits. Recommendations were made to reduce the environmental impacts of rice and analyze other food products and management practices to promote sustainability and avoid unnecessary exploitation of resources.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Computer Science, Interdisciplinary Applications
Pengfei Zhao, Qianwang Deng, Juan Zhou, Wenwu Han, Guiliang Gong, Chao Jiang
Summary: This study examines the remanufacturing of single and multiple categories of end-of-life products under uncertainty quality and carbon emissions policies. Three production decision models are proposed, with strategies developed for optimal profit, minimum cost, and effectiveness evaluation. Numerical simulations and comparative studies demonstrate that these models can achieve greater profit and lower carbon emissions in real production settings.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Review
Mathematics
Yaping Ren, Xinyu Lu, Hongfei Guo, Zhaokang Xie, Haoyang Zhang, Chaoyong Zhang
Summary: This paper provides a comprehensive review and summary of combinatorial optimization problems (COPs) in reverse logistics (RL) and remanufacturing processes. Typical COPs at the end of the product life cycle are discussed and analyzed for the first time. A total of 160 papers published since 1992 are selected and categorized into three modules: facility location and vehicle routing in RL, scheduling in remanufacturing, and disassembly in remanufacturing. Existing research gaps are identified and possible directions are described.
Article
Green & Sustainable Science & Technology
Yasanur Kayikci, Yigit Kazancoglu, Cisem Lafci, Nazlican Gozacan
Summary: The paper discusses the concept of Smart and Sustainable Circular Economy (SSCE) and identifies barriers in technology, producers, consumers, and policy aspects. Principal results show that challenges such as ownership issues, lack of governmental support, administrative burden, and ineffective execution of environmental regulations are fundamental barriers to SSCE. Additionally, lack of integration and collaboration among supply chain partners, ineffective adoption of CE frameworks, and product complexity are identified as effect barriers that are easily influenced by other factors and have short-term implications.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Management
Dongmei Xue, Ruud H. Teunter, Stuart X. Zhu, Weihua Zhou
Summary: This paper examines a duopoly channel in the context of the smartphone industry, where a high-end firm sells its own brand at a high profit margin and a low-end firm sells its own brand at a low profit margin but can differentiate by remanufacturing high-end cores. The study analyzes how cost structure and customers' valuation influence the equilibrium strategies of both firms, including conditions for the low-end firm to engage in remanufacturing and how the high-end firm reacts to maintain its market share.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Energy & Fuels
Wei Liu, Hasan Dincer, Serkan Eti, Serhat Yuksel
Summary: This study evaluates energy efficiency in emerging economies using a hybrid fuzzy multi-criteria decision-making model. The findings show that economic development and technological competency are the main factors influencing energy efficiency. Russia and Brazil are the most successful countries in energy efficiency, while India and Turkey rank the lowest.
Article
Environmental Sciences
Shitong Peng, Jinfeng Ping, Tao Li, Fengtao Wang, Hongchao Zhang, Conghu Liu
Summary: This paper critically evaluates the environmental performance of remanufactured products compared to new ones. By adjusting comparison results, it was found that remanufactured mechanical products can significantly reduce global warming potential (GWP), with an average of 28.5% and 25.9% reduction in GWP and primary energy consumption (PEC) respectively, compared to new counterparts.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Panit Chancharoonpong, Rattanawan Mungkung, Shabbir H. Gheewala
Summary: Riceberry rice has been promoted in Thailand for its high nutrients and antioxidants, and Life Cycle Assessment and ecoefficiency evaluation have provided insights for policy decisions. Improvement opportunities were found in recipe modification and packaging redesign, with riceberry soap and riceberry snack bar identified as products with high value-added and eco-efficiency that should be promoted.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Iara Tonissi Moroni, Bruno Michel Roman Pais Seles, Fabiane Leticia Lizarelli, Daniel Guzzo, Janaina Mascarenhas Hornos da Costa
Summary: This study examines how resources and capabilities in remanufacturing enable firms to achieve sustainability in their dynamic business environment. The results show positive relationships between eco-innovation and dynamic remanufacturing capacity, as well as between eco-innovation and business performance. However, the relationship between eco-innovation and stakeholder engagement is not statistically supported.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Green & Sustainable Science & Technology
Ibrahim Mirac Eliguzel, Eren Ozceylan
Summary: Green energy production, particularly wind energy, has become increasingly significant in recent years due to the Paris agreement and carbon emissions concerns. The end-of-life operations for wind turbines (WTs) play a crucial role in maximizing the environmental benefits and value creation. A comprehensive literature review was conducted to identify current gaps and propose potential research subjects in this field.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Economics
Senlin Zhao, Zhuangzhuang You, Qinghua Zhu
Summary: Manufacturers often delegate third parties to collect used products for remanufacturing, and they design nonlinear pricing contracts to stimulate the third parties to select contracts that correspond to their true types. Information asymmetry can result in a decrease in the quantity collected by third parties with low collection efficiency.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Environmental Studies
John Akana, Bushra Marium Islam, Kartik Patel, Ikjot Saini, Gyan Chhipi-Shrestha, Rajeev Ruparathna
Summary: The heavy reliance on ICT has increased the importance of cyber security. However, the environmental and economic impact of cyber security solutions has been rarely studied. This research investigates the impact of these solutions through a Life Cycle Assessment, comparing their environmental and economic performance. The findings show that Next Generation DataGuard is the most energy-efficient and economically viable solution among the three compared.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Computer Science, Interdisciplinary Applications
Huai-Wei Lo, James J. H. Liou
Summary: This article discusses a research paper by Nilashi et al. (2019) on factors influencing medical tourism adoption in Malaysia, highlighting errors and misguided use of fuzzy TOPSIS in their study.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Mengyue Liu, Leping Chen, Xuerou Sheng, Yue Yang, Fang Yu, Yue Li, Xueliang Yuan, Yongwei Li, Qingsong Wang, Qiao Ma
Summary: This study establishes a dynamic assessment model that integrates life cycle assessment and lifetime distribution modeling to evaluate the environmental benefits of motor remanufacturing. The findings demonstrate that motor remanufacturing can significantly reduce carbon emissions and achieve considerable material, energy, and water savings.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Industrial
Xingdong Zhao, Qianwang Deng, Xiahui Liu, Like Zhang, Shengcong Wu, Chao Jiang
Summary: This study proposes an integrated scheduling model for on-site MRO, considering different service processes, teams, and resources, decomposing the MRO service process into multiple subtasks. Experimental results show that the new algorithm can efficiently obtain high-quality scheduling solutions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Transportation
Xin Tan, Qianwang Deng, Xiang Hu
Summary: In this paper, a cellular automata model of a three-lane expressway is established, and multiple parameters influencing vehicle carrying efficiency are selected. Data envelopment analysis is used to calculate the vehicle carrying efficiency under different maximum speed limits, providing research significance for traffic management departments to formulate reasonable management measures.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Like Zhang, Qianwang Deng, Yan Zhao, Qing Fan, Xiaoyan Liu, Guiliang Gong
Summary: This paper proposes a production scheduling model that takes into account the operational utility from the demand side and integrates energy efficiency goals. By optimizing the operating speed of equipment based on forecasting information and delivery time, the operational utility is improved. Experimental results demonstrate the superiority of the model.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Hongru Cao, Haidong Shao, Xiang Zhong, Qianwang Deng, Xingkai Yang, Jianping Xuan
Summary: This paper proposes an unsupervised domain-share convolutional neural network method for efficient fault transfer diagnosis of machines from steady speeds to time-varying speeds. By improving the efficiency and robustness of feature adaptation and simultaneously extracting domain invariant features from the source domain and target domain, the proposed method aims to improve diagnosis accuracy and transferability.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Like Zhang, Qianwang Deng, Bingxin Miao, Xiaoyan Liu, Haidong Shao
Summary: Previous studies on inventory adopt a serial supply mode, while this study proposes a parallel service mode to optimize inventory. By introducing virtual warehouses with infinite spare parts, the inventory optimization problem is transformed into a scheduling problem, and an evolutionary algorithm is used to obtain the optimal solution. Experimental results demonstrate the effectiveness of the proposed algorithm and verify the superiority of the parallel service mode.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Engineering, Industrial
Bingxin Miao, Qianwang Deng, Like Zhang, Zhangwen Huo, Xiaoyan Liu
Summary: This study analyzes the joint scheduling of spare parts production and service workers driven by distributed maintenance demand. By integrating spare parts production and worker allocation, the study aims to optimize customer satisfaction and total service cost. A modified algorithm is proposed to solve the problem, and extensive experiments demonstrate its superiority.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Zhen Wang, Qianwang Deng, Like Zhang, Xiaoyan Liu
Summary: Previous research in distributed production scheduling has focused on the supply side while neglecting the interconnection between the supply and demand sides. This paper proposes an optimal scheduling problem that integrates production, inventory, and imperfect maintenance, with mutual feedback between the supply side and demand side.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Computer Science, Artificial Intelligence
Zhen Wang, Qianwang Deng, Like Zhang, Haiqiu Li, Fengyuan Li
Summary: This paper proposes a collaborative optimization problem of spare parts production and worker arrangement driven by O&M. An improved Non-dominated Sorting Genetic Algorithm-II (INSGA-II) is used to solve the mixed integer programming model, which considers the production of spare parts and the limited number of workers. Extensive experiments validate the effectiveness of INSGA-II.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Yan Zhao, Qianwang Deng, Like Zhang, Weifeng Han, Fengyuan Li
Summary: Integrated scheduling of production and distribution is important for cost saving and customer satisfaction. This paper proposes an optimal spare parts production scheduling model in a flowshop environment, with the objective of maximizing equipment operational utility on the customer side and introducing a speed adjustment strategy to guide equipment operation and maintenance.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Industrial
Bingxin Miao, Qianwang Deng, Like Zhang, Zhangwen Huo, Weifeng Han
Summary: We study the joint scheduling of spare parts production and service engineers in a multi-site maintenance system. A mathematical model is formulated to minimize total outsourcing costs and weighted tardiness. We propose a novel heuristic algorithm, PPAS, and compare it with other well-known algorithms. The effectiveness of the joint scheduling mode is demonstrated by comparing it with the separate optimization mode.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Xiahui Liu, Liqun Zhang, Qianwang Deng, Meng Li, Chao Jiang
Summary: The traditional partner selection in reverse logistics focuses on recyclers for remanufacturers, neglecting the selection of remanufactures for recyclers and the mutual matching of the two parties. This study proposes a multi-attribute bilateral matching framework for recycling and remanufacturing services, considering the interdependence among service matching attributes and decision makers' behavior. An integrated methodology is developed to determine service matching satisfaction using grey theory, Best-Worst Method, Decision Making Trial and Evaluation Laboratory, and Interactive and Multi-Criteria Decision Making. A collaboration-oriented bilateral matching model is constructed to maximize matching satisfaction and achieve service synergy between remanufacturers and recyclers. The optimal service matching scheme is obtained using the linear weighting method. The results provide references for optimal allocation of service resources and the transition to collaborative remanufacturing service.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Computer Science, Interdisciplinary Applications
Zhangwen Huo, Qianwang Deng, Xiahui Liu, Bingxin Miao, Yingying Ren
Summary: This paper proposes an integrated decision-making model for order acceptance and resource allocation for repair services, considering the differences between in-warranty and out-of-warranty customers. It aims to maximize the satisfaction of customers and the profit of manufacturers. A memetic algorithm is introduced to efficiently obtain the optimal decision scheme.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Automation & Control Systems
Like Zhang, Qianwang Deng, Xiaoyu Wen, Yan Zhao, Guiliang Gong
Summary: This study investigates a demander-dominated decentralized scheduling problem where the demander can adopt private-strategic behavior. A multi-round information interaction mechanism with a learning strategy is designed to solve the problem, and the proposed algorithm is shown to yield high-quality solutions for service providers. Additionally, the confidentiality of private information is found to be beneficial for the demander, particularly in cases with tight due dates.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Qiang Luo, Qing Fan, Qianwang Deng, Xin Guo, Guiliang Gong, Xiahui Liu
Summary: Previous research has overlooked the arrangement of on-hand inventory saved in the warehouse in the integrated scheduling problems. In this study, we propose a new production-inventory-distribution integrated scheduling problem that considers the production plan, allocation plan of on-hand inventory, and distribution decision simultaneously. We develop a mixed integer linear programming model and a modified NSGA-II algorithm to solve the problem. The proposed integration mode is shown to be effective compared with sequential scheduling methods commonly used in actual production.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
Qiang Luo, Qianwang Deng, Guanhua Xie, Guiliang Gong
Summary: This paper studies the flexible job shop scheduling problem with worker cooperation flexibility. A mixed-integer linear programming model is established and a two-stage Pareto-based evolutionary algorithm is proposed. Extensive experiments show that the proposed algorithm outperforms four comparison algorithms.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2023)
