Article
Business
Zhiyang Shen, Haitao Wu, Kaixuan Bai, Yu Hao
Summary: This paper uses a novel approach to estimate the total factor productivity (TFP) indicator of provincial-level data in China, incorporating three dimensions: economy, environment, and society. The results show that the TFP growth rate in China is 6.822%, with healthcare contributing the most to the increase.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Computer Science, Interdisciplinary Applications
Shreyanshu Parhi, Kanchan Joshi, Milind Akarte
Summary: This study fills the research gap by quantifying smart manufacturing performance indicators. Through a literature review methodology, potential indicators are defined, and a conceptual framework for decision-making in smart manufacturing is proposed.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2023)
Article
Engineering, Chemical
Jianmin Sun, Muddassar Sarfraz, Jamshid Ali Turi, Larisa Ivascu
Summary: This study examines the relationship between organizational agility and sustainable manufacturing practices. The results show that operational, customer, and partnering agility have a positive impact on sustainable manufacturing practices and green procurement. The study also reveals the moderating role of big data between green procurement and sustainable manufacturing practices.
Review
Green & Sustainable Science & Technology
Yan Jin Lee, Hao Wang
Summary: Optical-grade surfaces can be achieved on metals and ceramics by precise control of diamond cutting tools. However, researchers are seeking innovative techniques to further improve precision manufacturing efficiency. This review provides systematic evaluations of the energy consumed and energy savings of these techniques, aiming to categorize them as sustainable green technology. The article also proposes future research directions to identify optimal sustainable manufacturing methods.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2023)
Review
Chemistry, Analytical
Sara Paiva, Mohd Abdul Ahad, Gautami Tripathi, Noushaba Feroz, Gabriella Casalino
Summary: The increasing global population necessitates connecting smart and sustainable city planning with logistics, contributing to future mobility. Smart mobility, aligned with UN sustainable development goals, focuses on reducing congestion, optimizing routes, promoting active and inclusive mobility, and engaging citizens, with technologies like IoT, AI, and Big Data driving innovative solutions for smart cities.
Review
Development Studies
Fatma Sena Karal, Ayberk Soyer
Summary: The purpose of this study is to analyze and evaluate previous research on smart and/or sustainable cities and provide a basis for measuring the smartness and sustainability of cities. Using the Systematic Literature Review methodology, the concepts of smart city, sustainable city, and smart sustainable city are defined. Indicators for assessing the smartness and sustainability of cities are analyzed, and 14 criteria are deduced for evaluating performance assessment indicators. The study aims to support other research and city authorities in creating and assessing smart and sustainable cities.
SUSTAINABLE DEVELOPMENT
(2023)
Article
Thermodynamics
Kamran Iranshahi, Donato Rubinetti, Daniel I. Onwude, Marios Psarianos, Oliver K. Schlueter, Thijs Defraeye
Summary: Preserving fruits and vegetables by drying is a traditional yet effective way of reducing food waste. Electrohydrodynamic (EHD) drying is an energy-efficient low-temperature drying method that presents an opportunity to comply with the current challenges of existing drying methods. However, the adoption of EHD drying is hindered due to uncertainties regarding scalability, product quality, cost, and sustainability.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Review
Green & Sustainable Science & Technology
Livio Cricelli, Serena Strazzullo
Summary: This paper focuses on filling the gap in research on the integration of economic sustainability and digital technologies, systematically analyzing 32 articles to highlight how digital technologies enhance the connection between products and factories, value chains, and users to achieve a more sustainable production cycle.
Review
Green & Sustainable Science & Technology
Milena Serzante, Anastasiia Khudozhnyk
Summary: This study aims to identify the most suitable sustainable evaluation methods for enterprises. Through a literature review, the researchers found a trend towards more comprehensive and integrated approaches in measuring sustainability, considering economic, social, and environmental factors. The study revealed that Asia and Europe were the most studied regions, with a focus on the secondary sector of enterprises.
Article
Computer Science, Interdisciplinary Applications
Shreyanshu Parhi, Kanchan Joshi, Milind Akarte
Summary: The study introduces Smart Manufacturing Performance Measures (SMPMs) which assist organizations in choosing suitable performance indicators for efficient implementation and operation of smart manufacturing systems. A total of 22 performance measures are identified, classified into hard and soft measures, and linked to driving technologies for the implementation of smart manufacturing systems. This research contributes to understanding how technological changes are reshaping operations and driving outputs in the evolving field of smart manufacturing.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2021)
Article
Green & Sustainable Science & Technology
Rodrigo Rodriguez Delgadillo, Khaled Medini, Thorsten Wuest
Summary: This paper proposes a framework based on the DMAIC methodology to improve the quality and sustainability performance of additive manufacturing processes. Through a case study, it demonstrates the feasibility of extending DMAIC to the additive manufacturing domain and identifies challenges that need to be addressed.
Review
Business
Silvana Secinaro, Valerio Brescia, Federico Lanzalonga, Gabriele Santoro
Summary: This study presents a framework for reporting in smart cities through literature review and bibliometric analysis, emphasizing the importance of smart cities as a source of innovation and providing guidance for policymakers on improvement efforts.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Guangxi Wan, Xiaoting Dong, Qingwei Dong, Yunpeng He, Peng Zeng
Summary: The article shares the experience and lessons learned from participating in ARIAC 2021, where the team won 1st place in the finals. They attribute their success to an agent-based architecture, task assignment strategy, and modular software programming design method based on the Unified Modeling Language.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Review
Engineering, Multidisciplinary
Ruijun Liu, Haisheng Li, Zhihan Lv
Summary: This study investigates the application and development of 3D modeling in Digital Twins (DTs) through a literature review. It analyzes the transition process from 3D modeling to DTs modeling and examines the current applications of DTs modeling in various industries. The study finds that 3D modeling technology in DTs has great potential for development but also has limitations.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2022)
Review
Agronomy
Ebrahim Navid Sadjadi, Roemi Fernandez
Summary: This research explores the challenges and opportunities of agriculture digitalization in Spain, aiming to enhance productivity, product quality, production costs, sustainability, and environmental protection. The study examines the legal, technical, infrastructural, educational, financial, and market challenges, as well as the potential benefits digitalization can bring, in order to support decision-making and the adaptation of professionals in the sector.
Article
Engineering, Industrial
Seung-Jun Shin, Jungyub Woo, Duck Bong Kim, Senthilkumaran Kumaraguru, Sudarsan Rachuri
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2016)
Article
Optics
Hemnath Anandan Kumar, Senthilkumaran Kumaraguru, C. P. Paul, K. S. Bindra
Summary: This study introduces a data-driven approach to address the issue of increased computational time in predicting thermal fields in metal Additive Manufacturing processes. A surrogate model based on Gaussian Process Regression was developed to reduce computational costs and efficiently predict thermal fields. Experimental validation showed good agreement between the predictions of the GPR model and measured temperatures.
OPTICS AND LASER TECHNOLOGY
(2021)
Article
Engineering, Mechanical
Jayakrishnan Jayapal, Senthilkumaran Kumaraguru, Sudhir Varadarajan
Summary: This paper proposes a view similarity-based shape complexity metric for guiding part selection for additive manufacturing (AM). The metric can effectively screen a large number of parts and identify the most suitable ones for AM, taking into account subjective/contextual factors. The metric calculates a part's shape complexity based on the similarity of different views of its outer shape and internal cross-sectional geometry. It has been shown to be sensitive to input parameters and thresholds are suggested for optimal results. The proposed metric is effective in initial screening of parts in new product development and for redesign using AM.
RAPID PROTOTYPING JOURNAL
(2023)
Article
Computer Science, Interdisciplinary Applications
Madhanagopal Manoharan, Senthilkumaran Kumaraguru
Summary: This paper presents an improved convex volume decomposition algorithm for direct energy deposit (DED) systems, which can identify and decompose overhang features in faceted models. It also demonstrates the benefits of this method in improving surface quality by building a test part using a multi-axis DED system.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2023)
Article
Engineering, Manufacturing
Reginald Elvis Peter, Senthilkumaran Kumaraguru
Summary: This study investigates the influence of process parameters on catchment efficiency and geometric characteristics for low energy density inputs in the blown powder Laser Metal Deposition process. The study identifies five significant process parameters and analyzes their impacts on catchment efficiency and geometric characteristics. An analytical model is developed and validated, and a process map is constructed to identify optimal processing conditions for high catchment efficiency and a single continuous track.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2023)
Article
Automation & Control Systems
Jayakrishnan Jayapal, Senthilkumaran Kumaraguru, Sudhir Varadarajan
Summary: This research aims to establish multiple criteria for evaluating design variations in additive manufacturing and proposes a decision support system based on quantitative metrics. The proposed method demonstrates significant cost reductions by evaluating topologically optimized design variants.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Proceedings Paper
Engineering, Manufacturing
Peter Francis Reginald Elvis, Senthilkumaran Kumaraguru
Summary: The paper discusses the impact of different volume partitioning strategies on the economics and material efficiency of Hybrid Additive Manufacturing, and through case studies, it was found that the feature-based volume partitioning method is more material efficient and cost-effective than the stock-based near net shaping volume partitioning method in both cases.
PROCEEDINGS OF THE ASME 2021 16TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE (MSEC2021), VOL 1
(2021)
Article
Engineering, Multidisciplinary
C. N. Naga Priya, S. Denis Ashok, Bhanshidar Majhi, K. Senthil Kumaran
Summary: The thermal imaging based mine detection technique is widely used for detecting both metallic and non-metallic land mines in battlefields. Accurate mine detection relies on thermal contrast between soil and mine, affected by factors such as burial depth, soil properties, water content, and time of day. A deep learning region convolution neural network approach has been proposed for identifying buried objects in thermal images, achieving 90% accuracy in predicting their locations. This method can be extended for land mine detection using thermal image processing.
ENGINEERING JOURNAL-THAILAND
(2021)
Proceedings Paper
Engineering, Manufacturing
Hemnath Anandan Kumar, Peter Francis Reginald Elvis, Madhanagopal Manoharan, Jayakrishnan Jayapal, Senthilkumaran Kumaraguru
ADVANCES IN ADDITIVE MANUFACTURING AND JOINING, AIMTDR 2018
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Hemnath Anandan Kumar, Senthilkumaran Kumaraguru
ADVANCES IN SIMULATION, PRODUCT DESIGN AND DEVELOPMENT
(2020)
Article
Engineering, Manufacturing
Manavalan Ethirajan, Jayakrishna Kandasamy, Senthilkumaran Kumaraguru
SMART AND SUSTAINABLE MANUFACTURING SYSTEMS
(2020)
Proceedings Paper
Computer Science, Theory & Methods
Madhanagopal Manoharan, Senthilkumaran Kumaraguru
2018 CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY (CICT'18)
(2018)
Article
Engineering, Manufacturing
Y. T. Lee, S. Kumaraguru, S. Jain, S. Robinson, M. Helu, Q. Y. Hatim, S. Rachuri, D. Dornfeld, C. J. Saldana, S. Kumara
SMART AND SUSTAINABLE MANUFACTURING SYSTEMS
(2017)
Proceedings Paper
Engineering, Manufacturing
Shaw C. Feng, Senthilkumaran Kumaraguru, Xiufang Sun
PROCEEDINGS OF THE ASME 10TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, 2015, VOL 2
(2015)
