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Special Issue "Sustainable Materials and Manufacturing"

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: 30 October 2018

Special Issue Editors

Guest Editor
Dr. Denni Kurniawan

Department of Mechanical Engineering, Curtin University, Miri 98009, Malaysia
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Interests: manufacturing processes; biomaterials; composites; mechanical properties
Guest Editor
Prof. Dr. Abdul-Ghani Olabi

School of Engineering and Computing, University of the West of Scotland, Paisley PA1 2BE, UK
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Interests: renewable energy; CAD and design; smart materials
Guest Editor
Prof. Dr. Hitoshi Takagi

Graduate School of Science and Technology, Tokushima University, Tokushima 770-8501, Japan
Website | E-Mail
Interests: sustainable materials; composites; shape memory alloys; recycling technology

Special Issue Information

This Special Issue covers all aspects of sustainability in materials engineering and technology, in manufacturing engineering and technology, as well as in related, multidisciplinary fields. Any type of article aligned with the journal (original research, case study, technical report, short communication, and reviews), within the scope of sustainability in materials and manufacturing is welcome for this Special Issue. Additionally included are selected papers from the 3rd International Materials, Industrial, and Manufacturing Engineering Conference (MIMEC2017) in Miri, Malaysia (www.mimec.me) and the 2nd International Conference on Materials and Manufacturing Engineering and Technology (CoMMET 2018) in Bali, Indonesia (www.commet.me). Please consider contributing to this Special Issue. Thank you for your consideration.


Dr. Denni  Kurniawan
Prof. Dr. Abdul-Ghani  Olabi
Prof. Dr. Hitoshi  Takagi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Sustainable materials

  • Sustainable manufacturing

  • Sustainability in manufacturing

  • Sustainability in industrial and system engineering

Published Papers (2 papers)

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Research

Open AccessArticle An Open Source-Based Real-Time Data Processing Architecture Framework for Manufacturing Sustainability
Sustainability 2017, 9(11), 2139; doi:10.3390/su9112139
Received: 12 October 2017 / Revised: 15 November 2017 / Accepted: 17 November 2017 / Published: 20 November 2017
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Abstract
Currently, the manufacturing industry is experiencing a data-driven revolution. There are multiple processes in the manufacturing industry and will eventually generate a large amount of data. Collecting, analyzing and storing a large amount of data are one of key elements of the smart
[...] Read more.
Currently, the manufacturing industry is experiencing a data-driven revolution. There are multiple processes in the manufacturing industry and will eventually generate a large amount of data. Collecting, analyzing and storing a large amount of data are one of key elements of the smart manufacturing industry. To ensure that all processes within the manufacturing industry are functioning smoothly, the big data processing is needed. Thus, in this study an open source-based real-time data processing (OSRDP) architecture framework was proposed. OSRDP architecture framework consists of several open sources technologies, including Apache Kafka, Apache Storm and NoSQL MongoDB that are effective and cost efficient for real-time data processing. Several experiments and impact analysis for manufacturing sustainability are provided. The results showed that the proposed system is capable of processing a massive sensor data efficiently when the number of sensors data and devices increases. In addition, the data mining based on Random Forest is presented to predict the quality of products given the sensor data as the input. The Random Forest successfully classifies the defect and non-defect products, and generates high accuracy compared to other data mining algorithms. This study is expected to support the management in their decision-making for product quality inspection and support manufacturing sustainability. Full article
(This article belongs to the Special Issue Sustainable Materials and Manufacturing)
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Open AccessArticle The Optimal Decision Combination in Semiconductor Manufacturing
Sustainability 2017, 9(10), 1788; doi:10.3390/su9101788
Received: 2 August 2017 / Revised: 22 September 2017 / Accepted: 29 September 2017 / Published: 2 October 2017
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Abstract
Wafer fabrication is a capital-intensive and highly complex manufacturing process. In a wafer fabrication facility (fab), wafers are grouped as a lot to go through repeated sequences of operations to build circuitry. Lot scheduling is an important task for manufacturers in order to
[...] Read more.
Wafer fabrication is a capital-intensive and highly complex manufacturing process. In a wafer fabrication facility (fab), wafers are grouped as a lot to go through repeated sequences of operations to build circuitry. Lot scheduling is an important task for manufacturers in order to improve production efficiency and satisfy customers’ demands of on-time delivery. Cycle time and average work-in-process reduction while meeting customers’ requirements play an important role in improving the competitiveness and sustainability of a semiconductor manufacturer. In this research, we propose the optimal combination rules for lot scheduling problems in wafer fabs, focusing on three complex areas of decision making: lot release control, batch sizing, and dispatching lots to enhance competitiveness and sustainability of a semiconductor facility. Full article
(This article belongs to the Special Issue Sustainable Materials and Manufacturing)
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