5,688 research outputs found

    UMSL Bulletin 2023-2024

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    The 2023-2024 Bulletin and Course Catalog for the University of Missouri St. Louis.https://irl.umsl.edu/bulletin/1088/thumbnail.jp

    Graduate Catalog of Studies, 2023-2024

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    Circular supply chain management: a bibliometric analysis-based literature review

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    Purpose Supply chain management (SCM) research has contributed to the transition to a circular economy (CE). Still, confusions exist on the related terms, and no review has mapped out the development trends in the domain. This research clarifies the boundaries of the relevant concepts. Then, it conducts a comprehensive review of the circular SCM (CSCM) literature and identifies opportunities for future research. Design/methodology/approach Using relevant keywords, 1,130 journal articles published in December 31, 2021 were identified. Unlike the published reviews, which mainly relied on content analysis, this review uses bibliometric analysis tools, including citation analysis, co-citation analysis and cluster analysis. The review identifies general trends, influential researchers, high-impact publications, citation patterns and established and emergent research themes. Findings The extant CSCM literature includes five prominent clusters: (1) reverse channel optimization; (2) CSCM review and empirical studies; (3) closed-loop supply chain (CLSC) and consumers; (4) CLSC and inventory management and (5) CLSC and reverse logistics (RL). Significant research gaps exist in the use of secondary and longitudinal data, a wider range of theories, mixed-methods, multi-method, action research and behavioral experiment. The least researched topics include zero waste, industrial symbiosis, circular product design, sourcing and supply management and reuse. Originality/value This is the first bibliometric analysis-based literature review on CSCM. It clarifies the interrelated supply chain sustainability terms and thus reduces related confusion. It offers insights into the patterns in the CSCM literature and suggests important research directions

    A stochastic evaluation framework to improve the robustness of manufacturing systems

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    This work presents a framework to assess the robustness of manufacturing systems. Robustness, which is an indicator of the system’s ability to maintain its desired performance in face of disturbances, is quantified considering the variance of manufacturing system performance indicators. According to the framework, key objectives are first explicitly defined to guide a thorough exploration of the manufacturing system structural and dynamic characteristics. Several simulation experiments, orchestrated methodically through experimental design, are run and statistically analysed through analysis of variance (ANOVA) tests, including also financial implications. The framework has been tested and validated against a case study where the robustness of the manufacturing system with regard to six aerospace product types is evaluated. The mentioned case study proved that the framework has the potential to improve the robustness of manufacturing systems, identifying the most and least disruptive dispatching policies

    Measurement of the Environmental Impact of Materials

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    Throughout their life cycles—from production, usage, through to disposal—materials and products interact with the environment (water, soil, and air). At the same time, they are exposed to environmental influences and, through their emissions, have an impact on the environment, people, and health. Accelerated experimental testing processes can be used to predict the long-term environmental consequences of innovative products before these actually enter the environment. We are living in a material world. Building materials, geosynthetics, wooden toys, soil, nanomaterials, composites, wastes and more are research subjects examined by the authors of this book. The interactions of materials with the environment are manifold. Therefore, it is important to assess the environmental impact of these interactions. Some answers to how this task can be achieved are given in this Special Issue

    Modelling, Monitoring, Control and Optimization for Complex Industrial Processes

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    This reprint includes 22 research papers and an editorial, collected from the Special Issue "Modelling, Monitoring, Control and Optimization for Complex Industrial Processes", highlighting recent research advances and emerging research directions in complex industrial processes. This reprint aims to promote the research field and benefit the readers from both academic communities and industrial sectors

    Graduate Catalog of Studies, 2022-2023

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    Strategies to Reduce the Impact of Disruptions in Manufacturing Transportation Supply Chains

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    Abstract Supply chain managers in the manufacturing transportation industry grapple with reducing the impact of disruptions in transportation supply chains since 50% of U.S. companies have experienced between six to 20 disruptions per year. Ineffective transportation disruption strategies negatively impact the performance and profitability of manufacturing organizations resulting in losses and business failure. Grounded in Goldratt’s philosophy and thinking process of the Theory of Constraints (TOC), the purpose of this qualitative multiple case study was to explore successful strategies supply chain managers in the manufacturing transportation industry used to reduce the impact of disruptions in transportation supply chains. The participants were three supply chain managers from three different manufacturing industries doing business in the Commonwealth of Massachusetts, who successfully implemented strategies that reduced the impact of disruptions in manufacturing transportation in their organizations. Data were collected through face-to-face semistructured interviews, archival records, and social media websites. Through thematic analysis, three themes emerged: (a) technology and innovative solutions, (b) supply chain collaborative efforts, and (d) logistics and transportation innovative strategies. A key recommendation is for supply chain managers to create multi-vendor transportation ecosystems to work together rather than working by themselves. The implication for positive social change includes the potential to create employment and increase local communities’ tax revenues that could be used to provide the most needed social services
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