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Special Issue "Sustainability in Manufacturing"

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

Deadline for manuscript submissions: closed (31 May 2017)

Special Issue Editors

Guest Editor
Prof. Dr. Wei Dei Solvang

Department of Industrial Engineering, UiT – The Arctic University of Norway, Narvik, Norway
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Interests: supply chain management; sustainable development; waste management; sustainable energy production; performance measurement
Guest Editor
Prof. Dr. Kesheng Wang

Department of Production and Quality Engineering, Norwegian University of Science and Technology, Trondheim, Norway
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Interests: intelligent and sustainable manufacturing; Industrial 4.0 and advanced manufacturing technologies
Guest Editor
Prof. Dr. Bjørn Solvang

Faculty of Engineering Science and Technology, UiT – The Arctic University of Norway, Narvik, Norway
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Interests: automation; robotics; sustainable engineering and manufacturing
Guest Editor
Prof. Dr. Peter Korondi

Department of Mechatronics, Optics and Mechanical Engineering Informatics, Budapest University of Technology and Economics, Budapest, Hungary
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Interests: etho-robotics; cognitive telemanipulation; sustainable systems
Guest Editor
Dr. Gabor Sziebig

Department of Industrial Engineering, UiT – The Arctic University of Norway, Narvik, Norway
Website | E-Mail
Interests: automation; robotics; sustainable product design; sustainable engineering and manufacturing

Special Issue Information

Dear Colleagues,

We are pleased to announce the Special Issue of “Sustainability in Manufacturing” in the journal Sustainability. The manufacturing industry is of paramount importance for economic and social development. Today, a large and continuously-growing amount of manufacturing companies has realized the substantial economic, environmental and social benefits from sustainable manufacturing processes. Sustainable manufacturing refers to the production of goods through economically efficient processes that save resources and energy while simultaneously decrease the negative influences on the environment. This Special Issue focuses on the innovative and cross-disciplinary solutions for improving economic, environmental and social sustainability in manufacturing processes, i.e., innovative product development, sustainable production planning, sustainable logistics and supply chain management, as well as sustainable manufacturing technologies.   

Original researches, case studies and reports, short communications, and comprehensive literature reviews focusing on the cutting-edge development of methods, techniques and application related to economic, environmental and social aspects of sustainable manufacturing are invited for submission to this Special Issue. The Special Issue also includes several exclusively invited papers from two international conferences—the 1st International Symposium on Small-scale Intelligent Manufacturing Systems (SIMS 2016), held at UiT The Arctic University of Norway, Narvik, Norway, on 21–24 June, 2016, and the International Workshop of Advanced Manufacturing and Automation (IWAMA 2016), held at the University of Manchester, UK, on 10–11 November, 2016.    

We thank you very much for your contribution to this Special Issue.

Prof. Wei Deng Solvang
Prof. Kesheng Wang
Prof. Bjørn Solvang
Prof. Peter Korondi
Assoc. Prof. Gabor Sziebig
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

  • Sustainability in manufacturing process
  • Sustainability in product design and service development
  • Sustainability in system engineering
  • Sustainability in energy production
  • Sustainability in operations management of manufacturing
  • Sustainable manufacturing technologies
  • Sustainable and intelligent manufacturing system
  • Sustainability in logistics and supply chain management
  • Reverse logistics and closed-loop supply chain
  • Reuse, remanufacturing and recycling of end-of-use and end-of-life products
  • Lean manufacturing and logistics
  • Decision support for sustainable manufacturing
  • Economic, environmental and social aspects in sustainable manufacturing
  • Sustainability in Industry 4.0

Published Papers (8 papers)

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Research

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Open AccessArticle Applying the Mahalanobis–Taguchi System to Improve Tablet PC Production Processes
Sustainability 2017, 9(9), 1557; doi:10.3390/su9091557
Received: 25 July 2017 / Revised: 25 August 2017 / Accepted: 29 August 2017 / Published: 1 September 2017
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Abstract
Product testing is a critical step in tablet PC manufacturing processes. Purchases of testing equipment and on-site testing personnel increase overall manufacturing costs. In addition, to improve manufacturing capabilities, manufacturers must also produce products with higher quality and at a lower cost than
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Product testing is a critical step in tablet PC manufacturing processes. Purchases of testing equipment and on-site testing personnel increase overall manufacturing costs. In addition, to improve manufacturing capabilities, manufacturers must also produce products with higher quality and at a lower cost than their competitors if they are to attract consumers and gain a competitive edge in their industry. The Mahalanobis–Taguchi System (MTS) is a novel technique proposed by Genichi Taguchi for performing diagnoses and forecasting with multivariate data. The MTS can be used to select important factors and has been applied in numerous engineering fields to improve product and process quality. In the present study, the MTS, logistic regression, and a neural network were used to improve the tablet PC product testing process. The results indicated that the MTS attained 98% predictive power after insignificant test items were eliminated. The MTS performance was superior to those of the conventional logistic regression and neural network, which attained 93.3% and 94.7% predictive power, respectively. After the testing process was improved using the MTS, the number of test items in the tablet PC product testing process was reduced from 56 to 14. This facilitated the development of more stable test site configurations and effectively reduced the testing time, number of testers required, and equipment costs. Full article
(This article belongs to the Special Issue Sustainability in Manufacturing)
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Open AccessArticle Contextual Factors Affecting the Innovation Performance of Manufacturing SMEs in Korea: A Structural Equation Modeling Approach
Sustainability 2017, 9(7), 1193; doi:10.3390/su9071193
Received: 17 March 2017 / Revised: 23 June 2017 / Accepted: 1 July 2017 / Published: 6 July 2017
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Abstract
This study empirically explores the relationship between innovation performance and the internal and contextual factors driving technological innovation in manufacturing small and medium-sized enterprises (SMEs) in metropolitan areas of Korea using structural equation modeling (SEM). Our analysis is based on firm-level data from
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This study empirically explores the relationship between innovation performance and the internal and contextual factors driving technological innovation in manufacturing small and medium-sized enterprises (SMEs) in metropolitan areas of Korea using structural equation modeling (SEM). Our analysis is based on firm-level data from the Korean Innovation Survey conducted by the Science and Technology Policy Institute in 2012. According to the results, SMEs’ innovation capacity was positively related to technological innovation performance, and SMEs’ skills and technology acquisition is a contextual factor that positively influences their innovation performance. In this process, SMEs’ innovation capacity is a partial mediator between skills and technology acquisition and SMEs’ technological innovation performance. Moreover, the results show that the relationship between government and public policies and SMEs’ innovation performance is mediated by SMEs’ internal innovation capacity. The results imply that both skills and technology acquisition and government and public policies are important contextual factors can increase SMEs’ innovation performance. Based on the results, this study provides implications for policy makers in terms of the policies that provide both direct and support roles in fostering and sustaining innovation, which drives regional economic growth and development. Full article
(This article belongs to the Special Issue Sustainability in Manufacturing)
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Open AccessArticle Sustainable Optimization of Manufacturing Process Effectiveness in Furniture Production
Sustainability 2017, 9(6), 923; doi:10.3390/su9060923
Received: 31 March 2017 / Revised: 12 May 2017 / Accepted: 30 May 2017 / Published: 1 June 2017
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Abstract
Sustainable manufacturing is connected with the effectiveness of production processes. There are several solutions to improve manufacturing sustainability. This paper deals with the possibilities of the utilization of mathematical methods to solve optimization problems in the production process of furniture. The aim of
[...] Read more.
Sustainable manufacturing is connected with the effectiveness of production processes. There are several solutions to improve manufacturing sustainability. This paper deals with the possibilities of the utilization of mathematical methods to solve optimization problems in the production process of furniture. The aim of the paper is to create a mathematical model of the key processes in order to maximize productivity and cost reduction by identifying key processes and parameters influencing manufacturing effectiveness. After identification of the parameters describing the key process (milling), an abstract model of the manufacturing process was created. Identified input parameters were the cutting velocity, feed rate, and a total volume of removed material. The output parameters were surface roughness, process duration, and process cost. The experimentally measured and calculated values of the output parameters were analyzed by a multiple regression tool. The method of an artificial neural network was used as a numeric method for optimization. The results showed that the maximal effectiveness of the sub-process can be achieved if the CNC machine is set at the cutting velocity of 4398.23 m·min−1 and feed rate of 11.00 m·min−1. Maximal values of the created neural network showed optimal values of input and output parameters. Full article
(This article belongs to the Special Issue Sustainability in Manufacturing)
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Open AccessArticle A Smartness Assessment Framework for Smart Factories Using Analytic Network Process
Sustainability 2017, 9(5), 794; doi:10.3390/su9050794
Received: 19 March 2017 / Revised: 25 April 2017 / Accepted: 6 May 2017 / Published: 10 May 2017
Cited by 1 | PDF Full-text (1591 KB) | HTML Full-text | XML Full-text
Abstract
The so-called smart factory is a novel paradigm that is rapidly gaining ground in scenarios for factories of the future. Many manufacturing companies try to raise the level of smartness by considering a number of aspects related to the smart factory. However, there
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The so-called smart factory is a novel paradigm that is rapidly gaining ground in scenarios for factories of the future. Many manufacturing companies try to raise the level of smartness by considering a number of aspects related to the smart factory. However, there is a lack of field-oriented systematic research to help them fit the interest of industry for promoting interest and diffusion of smart factory. Moreover, it is still difficult to assess whether the vision of the future factory that incorporates information and communication technologies is implemented. Therefore, in this study, we propose a smartness assessment framework for smart factories which is based on the concept of operation management so as to be easy to make manufacturing companies to understand and apply. The framework is composed of evaluation criteria and sets the weightings of the criteria using analytic network processes. From a case study based on 20 small and medium-sized manufacturing enterprises, the effectiveness of the proposed framework has been verified. Full article
(This article belongs to the Special Issue Sustainability in Manufacturing)
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Open AccessArticle An Integrated Approach to Evaluating and Selecting Green Logistics Providers for Sustainable Development
Sustainability 2017, 9(2), 218; doi:10.3390/su9020218
Received: 23 November 2016 / Revised: 22 January 2017 / Accepted: 27 January 2017 / Published: 6 February 2017
Cited by 2 | PDF Full-text (769 KB) | HTML Full-text | XML Full-text
Abstract
Balancing economic development with environmental protection has become a critical concern worldwide. However, along with the highly competitively global marketplace, economic factors are known to directly affect an enterprise’s development and its future business. Therefore, selecting the right partner for sustainable collaboration that
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Balancing economic development with environmental protection has become a critical concern worldwide. However, along with the highly competitively global marketplace, economic factors are known to directly affect an enterprise’s development and its future business. Therefore, selecting the right partner for sustainable collaboration that will lead to improved business performance and reduce carbon dioxide (CO2) emissions is a significant problem for many enterprises. In addition, investigating the economic impact of companies that are charged to protect the environment is becoming increasingly problematic. Thus, the purpose of this paper is to evaluate the comparative efficiencies of 16 Green Logistics Providers (GLPs) in the USA from 2012 to 2015, and the projected four-year period of 2016–2019, by means of an integrated approach that combines the grey forecasting model GM (1,1) and Data Envelopment Analysis (DEA). The results show that there are two GLPs, Knight Transportation and the Union Pacific Corporation, that possess a higher efficiency level and are achieving positive technical change. However, this study also determined that Hyster-Yale Materials Handling and CSX Corporation did not reach an acceptable efficiency score; therefore, they should improve technical efficiency to mitigate environmental concerns. This completely integrative methodology has the potential to provide the best decision-making strategies for finding suitable collaborative partners who are able to meet the sustainability requirements in most economic and environmental areas. Full article
(This article belongs to the Special Issue Sustainability in Manufacturing)
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Open AccessArticle The Effect of SMED on Benefits Gained in Maquiladora Industry
Sustainability 2016, 8(12), 1237; doi:10.3390/su8121237
Received: 14 September 2016 / Revised: 28 October 2016 / Accepted: 18 November 2016 / Published: 29 November 2016
Cited by 1 | PDF Full-text (1366 KB) | HTML Full-text | XML Full-text
Abstract
Nowadays, Single Minute Exchange of Dies (SMED) has achieved great industrial popularity. However, it remains unclear to what extent and how SMED implementation at its different stages benefits industries. To address this gap, this research proposes a structural equation model to quantitatively measure
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Nowadays, Single Minute Exchange of Dies (SMED) has achieved great industrial popularity. However, it remains unclear to what extent and how SMED implementation at its different stages benefits industries. To address this gap, this research proposes a structural equation model to quantitatively measure SMED effects. The model has six hypotheses that link SMED stages and benefits. To statistically validate such hypotheses, a questionnaire was administered to 373 Mexican maquiladoras located in Ciudad Juárez, Chihuahua. Results show that before starting SMED implementation process, companies must be appropriately familiarized with their production process. Mainly, manufacturing companies in Ciudad Juárez need to focus their efforts on the SMED planning stage (Step 1) in order to identify important internal production activities and turn them into external activities. In fact, SMED planning stage has direct and indirect effects on subsequent stages and SMED benefits. Full article
(This article belongs to the Special Issue Sustainability in Manufacturing)
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Open AccessArticle A Concept of Water Usage Efficiency to Support Water Reduction in Manufacturing Industry
Sustainability 2016, 8(12), 1222; doi:10.3390/su8121222
Received: 22 September 2016 / Revised: 8 November 2016 / Accepted: 18 November 2016 / Published: 25 November 2016
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Abstract
Increasing pressures on freshwater supplies, continuity of supply uncertainties, and costs linked to legislative compliance, such as for wastewater treatment, are driving water use reduction up the agenda of manufacturing businesses. A survey is presented of current analysis methods and tools generally available
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Increasing pressures on freshwater supplies, continuity of supply uncertainties, and costs linked to legislative compliance, such as for wastewater treatment, are driving water use reduction up the agenda of manufacturing businesses. A survey is presented of current analysis methods and tools generally available to industry to analyze environmental impact of, and to manage, water use. These include life cycle analysis, water footprinting, strategic planning, water auditing, and process integration. It is identified that the methods surveyed do not provide insight into the operational requirements from individual process steps for water, instead taking such requirements as a given. We argue that such understanding is required for a proactive approach to long-term water usage reduction, in which sustainability is taken into account at the design stage for both process and product. As a first step to achieving this, we propose a concept of water usage efficiency which can be used to evaluate current and proposed processes and products. Three measures of efficiency are defined, supported by a framework of a detailed categorization and representation of water flows within a production system. The calculation of the efficiency measures is illustrated using the example of a tomato sauce production line. Finally, the elements required to create a useable tool based on the efficiency measures are discussed. Full article
(This article belongs to the Special Issue Sustainability in Manufacturing)
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Review

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Open AccessReview Introducing Sustainability in Value Models to Support Design Decision Making: A Systematic Review
Sustainability 2017, 9(6), 994; doi:10.3390/su9060994
Received: 23 March 2017 / Revised: 9 May 2017 / Accepted: 30 May 2017 / Published: 9 June 2017
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Abstract
Manufacturing organizations shall recognize sustainability as a business occasion to capitalize on, rather than an undesirable pressing situation. Still, empirical evidence shows that this opportunity is hard to capture and communicate in global strategic decisions, through planning by tactical management, to daily operational
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Manufacturing organizations shall recognize sustainability as a business occasion to capitalize on, rather than an undesirable pressing situation. Still, empirical evidence shows that this opportunity is hard to capture and communicate in global strategic decisions, through planning by tactical management, to daily operational activities. This paper systematically reviews the modeling challenges at the crossroad of value and sustainability decisions making, spotlighting methods and tools proposed in literature to link sustainability to customer value creation at strategic, tactical and operational level. While statistical results show that the topic of sustainability and value modeling is trending in literature, findings from content analysis reveal that recent attempts to promote a value-based view in the sustainability discussion remain at a strategic level, with most of the proposed indicators being suited for managerial decision-making. The lack of support at operational level points to the opportunity of cross-pollinating sustainability research with value-centered methodologies originating from the aerospace sector. The Value Driven Design framework is proposed as main hub from which to derive models supporting engineers and technology developers in the identification of win-win-win situations, where sustainable improvements are aligned with business advantages. Full article
(This article belongs to the Special Issue Sustainability in Manufacturing)
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