scholarly journals Defining Material Compliance—A Comprehensive Analysis

2021 ◽  
Vol 13 (24) ◽  
pp. 13566
Author(s):  
Lorena Buckreus ◽  
Anne-Kathrin Nuffer ◽  
Robert Miehe ◽  
Alexander Sauer

The increase in the number of environmental regulations has resulted in great challenges for corporations in the manufacturing industry, especially within the electronic and electrical and the mechanical engineering sector. To address these compliance requirements, specialized management fields such as environmental compliance, substructures and management approaches have been implemented in industry. Recently, adherence to requirements concerning the composition of products and the use of materials and substances within products has become increasingly important and is referred to as material compliance (MC). Although the topic is of increasing importance, there is no generally accepted definition for MC nor a management framework. Corporations are thus unable to systematically address MC, and compliance violations occur frequently. We derived a definition for MC based on extensive literature research, which we subsequently evaluated in a quantitative survey. Our results indicate that MC is commonly understood as the adherence to requirements concerning the composition of a product and the use of substances and materials within products. By proposing a definition for MC, we aim to introduce a common understanding, enable future research to systematically address the topic and develop a framework for the management of MC.

Author(s):  
Jessica Foster

The purpose of this study is to present a factual picture of the multiple groundwater governance frameworks that cover the same transboundary aquifers on the Texas-Mexico border. The study can then serve as a foundation to support future research and as a reference for those sharing groundwater resources on the border to use in considering whether and how to coordinate management. Currently, Texas A&M School of Law, the Bush School of Government and Public Service at Texas A&M University, and the Texas Water Resources Institute are collaboratively pursuing a larger interdisciplinary project, and the study presented in this report is part of that concerted endeavor. First, the project establishes a study area, then identifies who are the stakeholders in the area, and finally summarizes the various rules each entity applies to groundwater. The study area selected is based on the aquifers identified in the 2016 study noted above (see Figure 1). Although there is currently no formal agreement between governments or users in Mexico and Texas for managing the reservoirs that cross underneath the international border, this survey represents a preliminary step in addressing the larger problems that the absence of a cooperative groundwater management framework presents. All of the institutional approaches employed in the various jurisdictions surveyed here model features from which developing management approaches could draw. Equally, noting gaps in the institutional approaches themselves and the ad hoc groundwater withdrawals occurring outside the reach of those institutions illustrates potential value in engaging local users in Texas’ and Mexico’s respective groundwater governance arrangements.


Author(s):  
Bambang Yudi Cahyono ◽  
Utami Widiati

There has been extensive literature on the teaching of vocabulary of English as a foreign language (EFL vocabulary) in the Indonesian context. However, a comprehensive analysis on the teaching of EFL vocabulary in this country has been a rare endeavour. This article aims to underpin various issues of the teaching of EFL vocabulary and relate them to a wider context of second/foreign language vocabulary teaching and review results of research as well as current practices of EFL vocabulary teaching and learning in the Indonesian context. It is expected that this article could provide an outline of the teaching of EFL vocabulary and some recommendations for future research and practices.


10.31355/33 ◽  
2018 ◽  
Vol 2 ◽  
pp. 105-120
Author(s):  
Hamed Motaghi ◽  
Saeed Nosratabadi ◽  
Thabit Qasem Atobishi

NOTE: THIS ARTICLE WAS PUBLISHED WITH THE INFORMING SCIENCE INSTITUTE. Aim/Purpose................................................................................................................................................................................................. The main objective of the current study is to develop a business model for service providers of cloud computing which is designed based on circular economy principles and can ensure the sustainable consumption. Background Even though the demand for cloud computing technology is increasing day by day in all over the world, the current the linear economy principles are incapable to ensure society development needs. To consider the benefit of the society and the vendors at the same time, the principles of circular economy can address this issue. Methodology................................................................................................................................................................................................. An extensive literature review on consumption, sustainable consumption, circular economic, business model, and cloud computing were conducted. the proposed model of Osterwalder, Pigneur and Tucci (2005) is admitted designing the circular business model. Contribution................................................................................................................................................................................................. The proposed model of the study is the contribution of this study where provides the guidelines for the cloud computing service providers to achieve both their economic profits and the society’ needs. Findings Finding reveals that if the cloud computing service providers design their business model based on the “access” principle of circular economy, they can meet their economic profits and the society’ needs at a same time. Recommendations for Practitioners.............................................................................................................................................................. It is recommended to the startup and the existing businesses to utilize the proposed model of this study to reach a sustainable development. Recommendation for Researchers................................................................................................................................................................ It proposes a new circular business model and its linkages with community building. Impact on Society............................................................................................................................................................................................ The proposed model of the study provides guidelines to the cloud computing service providers to design a business model which is able not only to meet their economic profit, but also to meet the society’s and customers’ benefits. Future Research............................................................................................................................................................................................... Future researches can build on this research model which proposed in this study to examine the limitations of this model by using empirical researches.


Publications ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 27
Author(s):  
Yaniasih Yaniasih ◽  
Indra Budi

Classifying citations according to function has many benefits when it comes to information retrieval tasks, scholarly communication studies, and ranking metric developments. Many citation function classification schemes have been proposed, but most of them have not been systematically designed for an extensive literature-based compilation process. Many schemes were also not evaluated properly before being used for classification experiments utilizing large datasets. This paper aimed to build and evaluate new citation function categories based upon sufficient scientific evidence. A total of 2153 citation sentences were collected from Indonesian journal articles for our dataset. To identify the new categories, a literature survey was conducted, analyses and groupings of category meanings were carried out, and then categories were selected based on the dataset’s characteristics and the purpose of the classification. The evaluation used five criteria: coherence, ease, utility, balance, and coverage. Fleiss’ kappa and automatic classification metrics using machine learning and deep learning algorithms were used to assess the criteria. These methods resulted in five citation function categories. The scheme’s coherence and ease of use were quite good, as indicated by an inter-annotator agreement value of 0.659 and a Long Short-Term Memory (LSTM) F1-score of 0.93. According to the balance and coverage criteria, the scheme still needs to be improved. This research data was limited to journals in food science published in Indonesia. Future research will involve classifying the citation function using a massive dataset collected from various scientific fields and published from some representative countries, as well as applying improved annotation schemes and deep learning methods.


2016 ◽  
Vol 9 (5) ◽  
pp. 991 ◽  
Author(s):  
Orlando Duran ◽  
Irene Roda ◽  
Marco Macchi

Purpose: This manuscript explores the link between Spare Parts Management and Total Costs of Ownership or Life Cycle Costs (LCC).Design/methodology/approach: First, this work enumerates the different managerial decisions instances in spare parts management that are present during the life cycle of a physical asset. Second, we analyse how those decision instances could affect the TCO of a physical asset (from the economic point of view). Finally, we propose a conceptual framework for incorporating the spare parts management into a TCO model.Findings: The recent literature lacks discussions on the integration of spare parts management with the Total Costs of Ownership (TCO). Based in an extensive literature revision we can declare that the computation of costs related to spare parts management has been neglected by TCO models.Originality/value: The contribution of this paper is twofold. First, a literature review and identification of a series of spare parts management decision instances and its relationship with TCOs is presented in this paper. Second, a conceptual framework is suggested for linking those decisions instances to a total cost of ownership perspective. Some research questions and future research challenges are presented at the end of this work.


Author(s):  
Husam Masaoud Alwahoub ◽  
Mohd Nazri Latiff Azmi ◽  
Mohammad Halabieh

Computer-assisted collaborative writing has been gradually employed in L2 and FL contexts due to the introduction of Web 2.0 applications and tools (i.e., Google Docs and wikis) and its benefits in developing learners’ writing skills. Accordingly, extensive literature that dealt with computer-assisted collaborative learning and learners’ perceptions towards this activity has been condensed on shelves by time passing. Thus, a review of former studies over the recent decade is called forth aiming to ameliorate the difficulties of reaching this literature and to awaken broadened knowledge in this promising area. This paper reviewed and discussed about 40 relevant articles published from 2011 to 2019 that dealt with computer-assisted collaborative writing using Web 2.0 tools, precisely Google Docs and wikis, and learners’ perceptions towards this activity (computer-assisted collaborative writing) and tools. All the articles were selected according to specific criteria, where only a true collaborative writing peer-reviewed articles were selected. After that, two main themes were synthesized: (a) collaborative writing outcomes and (b) students’ perceptions, and specific research components in relation to each theme were further reviewed and summarized using illustrative tables. Drawing on the review of this literature, the researchers discuss pedagogical implications in terms of technology integration and writing development and address future research directions including systematically reviewing this topic with teachers’ perceptions of computer-assisted collaborative writing.


2021 ◽  
Vol 15 (5) ◽  
pp. 641-650
Author(s):  
Victor Azamfirei ◽  
◽  
Anna Granlund ◽  
Yvonne Lagrosen

In the era of market globalisation, the quality of products has become a key factor for success in the manufacturing industry. The growing demand for customised products requires a corresponding adjustment of processes, leading to frequent and necessary changes in production control. Quality inspection has been historically used by the manufacturing industry to detect defects before customer delivery of the end product. However, traditional quality methods, such as quality inspection, suffer from large limitations in highly customised small batch production. Frameworks for quality inspection have been proposed in the current literature. Nevertheless, full exploitation of the Industry 4.0 context for quality inspection purpose remains an open field. Vice-versa, for quality inspection to be suitable for Industry 4.0, it needs to become fast, accurate, reliable, flexible, and holistic. This paper addresses these challenges by developing a multi-layer quality inspection framework built on previous research on quality inspection in the realm of Industry 4.0. In the proposed framework, the quality inspection system consists of (a) the work-piece to be inspected, (b) the measurement instrument, (c) the actuator that manipulates the measurement instrument and possibly the work-piece, (d) an intelligent control system, and (e) a cloud-connected database to the previous resources; that interact with each other in five different layers, i.e., resources, actions, and data in both the cyber and physical world. The framework is built on the assumption that data (used and collected) need to be validated, holistic and on-line, i.e., when needed, for the system to effectively decide upon conformity to surpass the presented challenges. Future research will focus on implementing and validating the proposed framework in an industrial case study.


2021 ◽  
Author(s):  
Aanchna Sharma ◽  
Tanmoy Mukhopadhyay ◽  
Sanjay Mavinkere Rangappa ◽  
Suchart Siengchin ◽  
Vinod Kushvaha

Abstract The superior multi-functional properties of polymer composites have made them an ideal choice for aerospace, automobile, marine, civil, and many other technologically demanding industries. The increasing demand of these composites calls for an extensive investigation of their physical, chemical and mechanical behavior under different exposure conditions. Machine learning (ML) has been recognized as a powerful predictive tool for data-driven multi-physical modeling, leading to unprecedented insights and exploration of the system properties beyond the capability of traditional computational and experimental analyses. Here we aim to abridge the findings of the large volume of relevant literature and highlight the broad spectrum potential of ML in applications like prediction, optimization, feature identification, uncertainty quantification, reliability and sensitivity analysis along with the framework of different ML algorithms concerning polymer composites. Challenges like the curse of dimensionality, overfitting, noise and mixed variable problems are discussed, including the latest advancements in ML that have the potential to be integrated in the field of polymer composites. Based on the extensive literature survey, a few recommendations on the exploitation of various ML algorithms for addressing different critical problems concerning polymer composites are provided along with insightful perspectives on the potential directions of future research.


2021 ◽  
Vol 9 ◽  
Author(s):  
Jörn Behrens ◽  
Finn Løvholt ◽  
Fatemeh Jalayer ◽  
Stefano Lorito ◽  
Mario A. Salgado-Gálvez ◽  
...  

Tsunamis are unpredictable and infrequent but potentially large impact natural disasters. To prepare, mitigate and prevent losses from tsunamis, probabilistic hazard and risk analysis methods have been developed and have proved useful. However, large gaps and uncertainties still exist and many steps in the assessment methods lack information, theoretical foundation, or commonly accepted methods. Moreover, applied methods have very different levels of maturity, from already advanced probabilistic tsunami hazard analysis for earthquake sources, to less mature probabilistic risk analysis. In this review we give an overview of the current state of probabilistic tsunami hazard and risk analysis. Identifying research gaps, we offer suggestions for future research directions. An extensive literature list allows for branching into diverse aspects of this scientific approach.


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