344 research outputs found

    An Integrated Multicriteria Decision-Making Approach for Collection Modes Selection in Remanufacturing Reverse Logistics

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    Reverse logistics (RL) is closely related to remanufacturing and could have a profound impact on the remanufacturing industry. Different from sustainable development which is focused on economy, environment and society, circular economy (CE) puts forward more requirements on the circularity and resource efficiency of manufacturing industry. In order to select the best reverse logistics provider for remanufacturing, a multicriteria decision-making (MCDM) method considering the circular economy is proposed. In this article, a circularity dimension is included in the evaluation criteria. Then, analytic hierarchy process (AHP) is used to calculate the global weights of each criterion, which are used as the parameters in selecting RL providers. Finally, technique for order of preference by similarity to ideal solution (TOPSIS) is applied to rank reverse logistics providers with three different modes. A medium-sized engine manufacturer in China is taken as a case study to validate the applicability and effectiveness of the proposed framework

    A Contingency Approach for Supply Chain Preparedness to Pursue Circular Economy Business Models

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    A growing stream in circular economy (CE) research is about circular economy business models (CEBM). It suggests how firms could learn to adopt unique material and product designs, newer business models, value chain networks and potential enablers that satisfies CE ideologies about economic, environment, and society. However, the understanding about how firms could integrate CEBM practices at internal, supply chain, and external levels is limited. Given the rising complexities in supply chains, the goal of this dissertation is to: (a) understand the landscape of CE concepts within the supply chain management context, and consequently (b) comprehend how firms’ preparedness about their internal, end-to-end supply chains and external environment, help them in pursuing business models that are guided by CE principles. In this dissertation, the first study provides an inclusive understanding of CE in a supply chain management context using bibliometric-network analysis. One key insight suggests CEBM is a promising theme within CE but remains unexplored in supply chain context. Using contingency theory lens, the second study identifies factors related to a focal firm’s CEBM practice as the response, its contingencies as context, its supply chain preparedness as output, and its CEBM performance as a consequent outcome. Using multi-industry multi-tier supply chain case-study method, the study explores how supply chain preparedness is related to CEBM practices and CEBM performance, and the factors upon which this relationship is contingent. A set of propositions and a contingency research framework is proposed. The research implications shall benefit scholars of transdisciplinary interests and serve as a guiding tool for practitioners and consultants presently acting upon CEBM implementation in their supply chain systems

    Remanufacturing Cleaning Process Evaluation, Comparison and Planning

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    This thesis aims to combine previous research on remanufacturing cleaning processes and applications into a single decision-making tool, in the form of software, which a remanufacturer can use to find a cleaning system that matches their specific demands. This thesis will provide an in-depth review of each cleaning process, the chemicals used in those processes, and the contamination types for which they were developed. This research also provides evaluation and comparison that assists remanufacturers in designing their cleaning systems. Finally, there will be a description and demonstration of the software. The ultimate goal is to find correct cleaning process to remove a variety of contaminants from metal substrates with high efficiency

    A bibliometric analysis of end-of-life vehicles related research:exploring a path to environmental sustainability

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    Considering rapid economic development and continuously increasing environmental concerns, end-of-life vehicles (ELVs) have significant socioeconomic value as a crucial waste stream. The research relating to ELVs has rapidly evolved over the last few years. However, existing review studies focus on specific research themes, and thus, fail to present a complete picture. Hence, this research intends to explain the current research scenario relating to ELVs by reviewing the critical published studies of the last 22 years. A total of 1405 research publications were extracted from the Scopus database covering the period from 2000 to 2021. Mainly employing bibliometric analysis techniques, this research analyzes the quantity of literature, researchers, institutions, countries, and research themes to understand the current status and future trends in ELV recycling and management. The results revealed a considerable rise in the number of articles published in the last five years. The key producers of influential ELV research are listed as the United States, China, and the United Kingdom. Globally, Chinese universities have the most ELV-related articles published. Similarly, Serbian researcher Vladimir Simic authored the most ELV-related articles during the research period. This article also identifies various research themes: management and recycling, resource recovery and components, life cycle evaluation, and socioeconomic effects. The results also reveal a strong association between distinct ELV research clusters

    Green Technologies for Production Processes

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    This book focuses on original research works about Green Technologies for Production Processes, including discrete production processes and process production processes, from various aspects that tackle product, process, and system issues in production. The aim is to report the state-of-the-art on relevant research topics and highlight the barriers, challenges, and opportunities we are facing. This book includes 22 research papers and involves energy-saving and waste reduction in production processes, design and manufacturing of green products, low carbon manufacturing and remanufacturing, management and policy for sustainable production, technologies of mitigating CO2 emissions, and other green technologies

    Achieving quality medical equipment in developing countries through remanufacturing

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    Remanufacturing restores a used product to at least, its original equipment manufacturers (OEM) performance specification from the customer’s perspective and gives the resultant product a warranty that is at least equal to that of newly manufactured equivalent product. It is a wise option as it offers high quality products at lower price since remanufactured products are substantially cheaper than new products of equivalent quality. Remanufacturing also has social, economic, and environmental benefits since it has the potential to become a source of revenue, create jobs and reduce environmental pollution. While remanufacturing is common in industries such as automobile and aviation, its application and benefits in the medical device industry have not been investigated. Medical devices are crucial in the diagnosis and treatment of diseases and injuries but are inequitably distributed globally, such that there is acute shortage in developing countries with consequent high mortality rates over disease and adverse health conditions that could be treated if the right equipment were available. Several strategies have been considered to eliminate or mitigate this issue. However, neither has remanufacturing been considered a potential solution to this issue nor key factors in implementing medical equipment remanufacturing for developing countries been identified. This study proposes remanufacturing as a potential sustainable solution to this issue. The research was conducted in 3 phases following a multiphase mixed methods design. Questionnaires and interviews were used to gather data while pre-figured thematic analysis, Decision-making trial and evaluation laboratory (DEMATEL) technique and confirmatory factor analysis techniques were used to analyse the data. Main findings of this research include the following: (1) medical equipment remanufacturing can address 5 out of 11 causes of poor medical equipment availability accounting for 43.5% of the overall prominence. (2) A definition and decision support frameworks for medical equipment remanufacturing that could help to improve availability of quality medical equipment in developing countries (3) Major concerns in implementing medical equipment remanufacturing. (4) Impact of perception on the purchase intention for remanufactured medical equipment. This research is the first to identify the potential impact of remanufacturing in addressing medical equipment availability issues in developing countries, to characterise medical equipment remanufacturing towards this end. It is unique in its application of DEMATEL to the study of root causes of poor availability of medical equipment in developing countries and in applying behavioural science in understanding its purchase intentions.Remanufacturing restores a used product to at least, its original equipment manufacturers (OEM) performance specification from the customer’s perspective and gives the resultant product a warranty that is at least equal to that of newly manufactured equivalent product. It is a wise option as it offers high quality products at lower price since remanufactured products are substantially cheaper than new products of equivalent quality. Remanufacturing also has social, economic, and environmental benefits since it has the potential to become a source of revenue, create jobs and reduce environmental pollution. While remanufacturing is common in industries such as automobile and aviation, its application and benefits in the medical device industry have not been investigated. Medical devices are crucial in the diagnosis and treatment of diseases and injuries but are inequitably distributed globally, such that there is acute shortage in developing countries with consequent high mortality rates over disease and adverse health conditions that could be treated if the right equipment were available. Several strategies have been considered to eliminate or mitigate this issue. However, neither has remanufacturing been considered a potential solution to this issue nor key factors in implementing medical equipment remanufacturing for developing countries been identified. This study proposes remanufacturing as a potential sustainable solution to this issue. The research was conducted in 3 phases following a multiphase mixed methods design. Questionnaires and interviews were used to gather data while pre-figured thematic analysis, Decision-making trial and evaluation laboratory (DEMATEL) technique and confirmatory factor analysis techniques were used to analyse the data. Main findings of this research include the following: (1) medical equipment remanufacturing can address 5 out of 11 causes of poor medical equipment availability accounting for 43.5% of the overall prominence. (2) A definition and decision support frameworks for medical equipment remanufacturing that could help to improve availability of quality medical equipment in developing countries (3) Major concerns in implementing medical equipment remanufacturing. (4) Impact of perception on the purchase intention for remanufactured medical equipment. This research is the first to identify the potential impact of remanufacturing in addressing medical equipment availability issues in developing countries, to characterise medical equipment remanufacturing towards this end. It is unique in its application of DEMATEL to the study of root causes of poor availability of medical equipment in developing countries and in applying behavioural science in understanding its purchase intentions

    How can faba-bean cropping contribute to a more sustainable future European agriculture?:Analysis of transition opportunities and barriers in Denmark

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    Predictive Big Data Analytics for Supply Chain Demand Forecasting: Methods, Applications, and Research Opportunities

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    Big data analytics (BDA) in supply chain management (SCM) is receiving a growing attention. This is due to the fact that BDA has a wide range of applications in SCM, including customer behavior analysis, trend analysis, and demand prediction. In this survey, we investigate the predictive BDA applications in supply chain demand forecasting to propose a classification of these applications, identify the gaps, and provide insights for future research. We classify these algorithms and their applications in supply chain management into time-series forecasting, clustering, K-nearest-neighbors, neural networks, regression analysis, support vector machines, and support vector regression. This survey also points to the fact that the literature is particularly lacking on the applications of BDA for demand forecasting in the case of closed-loop supply chains (CLSCs) and accordingly highlights avenues for future research
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