Sustainable Manufacturing Research Research Articles

A bibliometric analysis of research on sustainable manufacturing

Sustainable manufacturing provides a balance between manufacturing and the environment. The purpose of this paper is to acquaint the readers about the research trends in sustainable manufacturing related literature based on the data collected from Web of Science core collection and Scopus database using bibliometric analysis and visualisation network analysis. Different analysis has been done like trend analysis, author analysis, discipline-wise analysis, source analysis, country analysis, institution-wise analysis and cluster analysis of author keywords. This study demonstrates that the focus on sustainable manufacturing research field has been increased after 2008 and has a good scope in different fields. Co-citation analysis of countries by the name of the author shows the collaboration, contribution, and sharing of knowledge between the countries. A list of top 30 highly influential papers is also assessed from both databases. The results analysis also reveals a promising future research direction for researchers in the area of sustainable manufacturing.

A bibliometric analysis of research on sustainable manufacturing

Sustainable manufacturing provides a balance between manufacturing and the environment. The purpose of this paper is to acquaint the readers about the research trends in sustainable manufacturing related literature based on the data collected from Web of Science core collection and Scopus database using bibliometric analysis and visualisation network analysis. Different analysis has been done like trend analysis, author analysis, discipline-wise analysis, source analysis, country analysis, institution-wise analysis and cluster analysis of author keywords. This study demonstrates that the focus on sustainable manufacturing research field has been increased after 2008 and has a good scope in different fields. Co-citation analysis of countries by the name of the author shows the collaboration, contribution, and sharing of knowledge between the countries. A list of top 30 highly influential papers is also assessed from both databases. The results analysis also reveals a promising future research direction for researchers in the area of sustainable manufacturing.

A metric-based framework for sustainable production scheduling

Production scheduling involves operational level decision making at the shop floor that covers not only the manufacturing stage of the product life-cycle, but also the use stage of the processes. Triple bottom line (TBL) including economic, environmental, and social pillars has been introduced to holistically evaluate the performance of a production firm. Despite the substantial research in sustainable manufacturing, a holistic model that considers all three pillars of the TBL for sustainable production scheduling is virtually absent. This paper presents a metric-based model to systematically and holistically evaluate the sustainability of the production schedules. To this aim, we first perform an extensive literature review to identify the fundamental performance metrics in production scheduling. Second, we assess those metrics with respect to the TBL. Third, we show the inconsistencies among the fundamental performance metrics, and consequently among the objectives defined in the TBL. Finally, we propose a generic model for production scheduling for sustainability based on balancing the trade-offs among the inconsistent objectives. The efficiency and effectiveness of the proposed model is demonstrated using a comprehensive numerical study. The proposed model not only provides a sustainable schedule, but also results in better control over the fundamental performance metrics of the production scheduling.

Sustainable manufacturing in Industry 4.0: an emerging research agenda

This systematic review intends to identify how sustainable manufacturing research is contributing to the development of the Industry 4.0 agenda and for a broader understanding about the links between the Industry 4.0 and Sustainable Manufacturing by mapping and summarising existing research efforts, identifying research agendas, as well as gaps and opportunities for research development. A conceptual framework formed by the principles and technological pillars of Industry 4.0, sustainable manufacturing scope, opportunities previously identified, and sustainability dimensions, guided analysis of 35 papers from 2008–2018, selected by a systematic approach. Bibliometrics data and social network analysis complement results identifying how research is being organised and its respective research agendas, relevant publications, and status of the research lifecycle. Results point to that the current research is aligned with the goals defined by different national industrial programs. There are, however, research gaps and opportunities for field development, becoming more mature and having a significant contribution to fully developing the agenda of Industry 4.0.

Research Trends in Sustainable Manufacturing: A Review and Future Perspective based on Research Databases

Sustainable manufacturing has become of great importance in various fields include manufacturing, mechanical engineering, materials science, environmental science, and energy science. In this paper, we analyzed and reviewed the research trends of sustainable manufacturing technologies and suggested future perspective. Specifically, the state-of-the-art and historical trajectory of sustainable manufacturing are analyzed using data obtained from the Web of Science library and the Journal Citation Reports (JCR). Selected journals and research categories are evaluated by the number of publications, the number of citations, impact factor (IF), and H-indices. To suggest future perspectives on sustainable manufacturing research, growth rate of each research objects are evaluated and historically followed. Sustainable manufacturing is likely to be change in its nature in the era of digital transformation. It is expected to provide the status and future of research trends of sustainable manufacturing to the both manufacturing researchers and journal publishers.

Future perspectives of sustainable manufacturing and applications based on research databases

Recent legislation and initiatives have precipitated a considerable shift toward sustainable development. Accordingly, studies into green manufacturing and applications have been conducted by numerous researchers. In this review, future perspectives of sustainable manufacturing and applications are evaluated and analyzed based on research databases. More specifically, the current status and historical trajectory of selected research areas are evaluated using data from the Web of Science library and the Journal Citation Reports (JCR). State-of-the-art sustainable manufacturing research is presented, and related journals are discussed according to research area. Selected journals and research subjects are assessed in terms of H-indices and the number of published articles, to evaluate the attention paid to, and importance of, each subject. To further the discussion on future perspectives, the historical trajectories of the research areas are explored. For example, technologies described in a greener machine tool review article were classified according to a technology hierarchy, and their historical changes were evaluated. Selected journals and subjects were matched to categorical hierarchies, and the development stages were assessed based on a four-stage model (early, emerging, developed, and saturated stages). The results showed that sustainable manufacturing and applications have dramatically emerged in the last decade. In this review, insights are provided into the status and future of sustainable technologies through the suggestion of evaluation methods and provision of examples.

Data Management in Collaborative Interdisciplinary Research Projects—Conclusions from the Digitalization of Research in Sustainable Manufacturing

As research topics become increasingly complex, large scale interdisciplinary research projects are commonly established to foster cross-disciplinary cooperation and to utilize potential synergies. In the case of the Collaborative Research Center (CRC) 1026, 19 individual projects from different disciplines are brought together to investigate perspectives and solutions for sustainable manufacturing. Beside overheads regarding the coordination of activities and communication, such interdisciplinary projects are also facing challengs regarding data management. For exchange and combination of research results, data from individual projects have to be stored systematically, categorized, and linked according to the logical interrelations of the involved disciplinary knowledge domains. In the CRC 1026, the project for information infrastructure observed and analysed collaboration practices and developed IT-supported solutions to facilitate and foster research collaboration. Data management measures in this period were mainly focused on building a shared conceptual framework, and the organization of task related data. For the former aspect, an ontology basesd apporach was developed and prototypically implemented. For the latter aspect, a message board integrated task management system was developed and applied.

MAS2: an integrated modeling and simulation-based life cycle evaluation approach for sustainable manufacturing

Sustainable manufacturing is a new paradigm in which manufacturing industries produce products in a sustainable manner while maintaining global competitiveness and coping with recent challenges and problems. Sustainable manufacturing research is very broad in scope and has not yet been firmly established at the academic or practical levels. This paper introduces MAS2, which is an integrated modeling and simulation-based life cycle evaluation approach for sustainable manufacturing. Four requirements that are essential for evaluating the sustainability performance of manufacturing industries are suggested. The proposed MAS2 approach consists of the following main components: 1) a theoretical foundation comprising 20 principles and definitions of sustainable manufacturing and manufacturing sustainability, 2) indicators, namely the MAS2 indicator and Manufacturing Sustainability Index (MSI), 3) e-MAS2 as an evaluation method, and 4) i-MAS2 as an information management method. The MAS2 system is developed based on the proposed approach, and consists of two main modules: MS-Modeler and MS-Simulator. The MAS2 approach and system are validated by application to the product life cycle of an automotive stamping shop.

A Review of Engineering Research in Sustainable Manufacturing

Sustainable manufacturing requires simultaneous consideration of economic, environmental, and social implications associated with the production and delivery of goods. Fundamentally, sustainable manufacturing relies on descriptive metrics, advanced decision-making, and public policy for implementation, evaluation, and feedback. In this paper, recent research into concepts, methods, and tools for sustainable manufacturing is explored. At the manufacturing process level, engineering research has addressed issues related to planning, development, analysis, and improvement of processes. At a manufacturing systems level, engineering research has addressed challenges relating to facility operation, production planning and scheduling, and supply chain design. Though economically vital, manufacturing processes and systems have retained the negative image of being inefficient, polluting, and dangerous. Industrial and academic researchers are re-imagining manufacturing as a source of innovation to meet society's future needs by undertaking strategic activities focused on sustainable processes and systems. Despite recent developments in decision making and process- and systems-level research, many challenges and opportunities remain. Several of these challenges relevant to manufacturing process and system research, development, implementation, and education are highlighted.