746 research outputs found

    Role of artificial intelligence in operations environment : a review and bibliometric analysis

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    Abstract: Purpose - ‘Technological Intelligence’ is the capacity to appreciate and adapt technological advancements, and ‘Artificial Intelligence’ is the key to achieve persuasive operational transformations in majority of contemporary organizational set-ups. Implicitly, artificial intelligence (the philosophies of machines to think, behave, and perform either same or similar to humans) has knocked the doors of business organizations as an imperative activity. Artificial intelligence, as a discipline, initiated by scientist John McCarthy and formally publicized at Dartmouth Conference in 1956, now occupies a central stage for many organizations. Implementation of artificial intelligence provides competitive edge to an organization with a definite augmentation in its societal and corporate status. Mere application of a concept will not furnish real output until and unless its performance is reviewed systematically. Technological changes are dynamic and advancing at a rapid rate. Subsequently, it becomes highly crucial to understand that where have we reached with respect to artificial intelligence research. Present article aims to review significant work by eminent researchers towards artificial intelligence in the form of top contributing universities, authors, keywords, funding sources, journals, and citation statistics..

    Industry 4.0 and the circular economy : melioration of business logistics sustainability

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    Abstract: Mining and mineral resources help provide the requirements of everyday life by contributing to essential products and services. In the era of fourth industrial revolution, the trend in logistics is toward a smart logistics system. Therefore, it becomes important to understand how Industry 4.0 enablers effect smart logistics, i.e., instrumented logistics, interconnected logistics, and intelligent logistics. This study investigates how Industry 4.0 logistics technologies influence dynamic remanufacturing and green manufacturing capability and, the effect on business logistics sustainability. Survey data were collected from 150 respondents using an online survey of South African executives in firms operating mines, quarries, and processing plants. Partial Least Squares based structural equation modelling (PLS-SEM) was used to test the hypotheses. The findings indicate that Industry 4.0 enablers have a strong effect on intelligent logistics compared to its effect on interconnected logistics and instrumented logistics. The effect of intelligent logistics are found to be very high compared to that of interconnected logistics and instrumented logistics on dynamic remanufacturing and green manufacturing capability. Finally, dynamic remanufacturing and green manufacturing capability are found to positively influence business logistics sustainability

    Examining the Role of Procurement 4.0 towards Remanufacturing Operations and Circular Economy

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    YesProcurement digitalisation can provide significant opportunities for excellence in remanufacturing operations. The close attention of firms is required during the configuration of procurement 4.0 resources for applying front end and base technologies in order to develop the correct set of these resources. Based on Resource Based View theory, this research examines the role of resources influencing procurement 4.0 for driving productivity in remanufacturing operations and circular economy performance. The survey data for this research was gathered from working professionals in South Africa and results reveal that technological resources are necessary in procurement 4.0, which can in turn improve the productivity in remanufacturing operations. An upsurge in performance in remanufacturing operations can enhance the circular economy outcome. To the best of authors’ knowledge, this study is the first to provide insight for researchers, practitioners and academics with an empirical test of digital procurement on remanufacturing operations and of circular economy performance in an emerging economy like South Africa

    Effect of resources and capabilities for integrating Industry 4.0 and sustainable production to unlock circular economy : a South African experience

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    Abstract: The study aspires to develop a theoretical model linking Industry 4.0 and cleaner production to unlock circular economy in an emerging economy of South Africa. Drawing upon Resource based view theory; the study aims to explore the firm resources and capabilities that are necessary to integrate Industry 4.0 technologies and sustainable production to further enhance circular economy performance and secondly, to investigate the impact of each research and capabilities on circular economy performance and finally, to outline agenda for ethical business development. The review of literature led to identification of thirty-five resources and capabilities that are essential for the integration of Industry 4.0 and sustainable production that will aid in unlocking circular economy. Further, exploratory factor analysis is used to group the variables under relevant factors and thereafter path modelling is performed using PLS-SEM technique. Research findings indicate that Project resources, Green team resources, Technological resources, Production and operations capabilities, Human resources capabilities, Management capabilities, Circularity capabilities, Information technology capabilities and Relationship capabilities are required for integration of I4.0 and sustainable production and further enhance CE performance. However, the Technological resources, Production and Operations capabilities and Circularity capabilities are found to have a stronger relationship with CE performance compared to rest of the resources and capabilities. The study concludes with theoretical and practical implications and agenda for ethical business developments

    Measurement of the Positive Muon Lifetime and Determination of the Fermi Constant to Part-per-Million Precision

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    We report a measurement of the positive muon lifetime to a precision of 1.0 parts per million (ppm); it is the most precise particle lifetime ever measured. The experiment used a time-structured, low-energy muon beam and a segmented plastic scintillator array to record more than 2 x 10^{12} decays. Two different stopping target configurations were employed in independent data-taking periods. The combined results give tau_{mu^+}(MuLan) = 2196980.3(2.2) ps, more than 15 times as precise as any previous experiment. The muon lifetime gives the most precise value for the Fermi constant: G_F(MuLan) = 1.1663788 (7) x 10^-5 GeV^-2 (0.6 ppm). It is also used to extract the mu^-p singlet capture rate, which determines the proton's weak induced pseudoscalar coupling g_P.Comment: Accepted for publication in Phys. Rev. Let

    Improved Measurement of the Positive Muon Lifetime and Determination of the Fermi Constant

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    The mean life of the positive muon has been measured to a precision of 11 ppm using a low-energy, pulsed muon beam stopped in a ferromagnetic target, which was surrounded by a scintillator detector array. The result, tau_mu = 2.197013(24) us, is in excellent agreement with the previous world average. The new world average tau_mu = 2.197019(21) us determines the Fermi constant G_F = 1.166371(6) x 10^-5 GeV^-2 (5 ppm). Additionally, the precision measurement of the positive muon lifetime is needed to determine the nucleon pseudoscalar coupling g_P.Comment: As published version (PRL, July 2007

    Stress Increases Peripheral Axon Growth and Regeneration Through Glucocorticoid Receptor-Dependent Transcriptional Programs

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    Stress and glucocorticoid (GC) release are common behavioral and hormonal responses to injury or disease. In the brain, stress/GCs can alter neuron structure and function leading to cognitive impairment. Stress and GCs also exacerbate pain, but whether a corresponding change occurs in structural plasticity of sensory neurons is unknown. Here, we show that in female mice (Mus musculus) basal GC receptor (Nr3c1, also known as GR) expression in dorsal root ganglion (DRG) sensory neurons is 15-fold higher than in neurons in canonical stress-responsive brain regions (M. musculus). In response to stress or GCs, adult DRG neurite growth increases through mechanisms involving GR-dependent gene transcription. In vivo, prior exposure to an acute systemic stress increases peripheral nerve regeneration. These data have broad clinical implications and highlight the importance of stress and GCs as novel behavioral and circulating modifiers of neuronal plasticity

    CROO: A universal infrastructure and protocol to detect identity fraud

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    Identity fraud (IDF) may be defined as unauthorized exploitation of credential information through the use of false identity. We propose CROO, a universal (i.e. generic) infrastructure and protocol to either prevent IDF (by detecting attempts thereof), or limit its consequences (by identifying cases of previously undetected IDF). CROO is a capture resilient one-time password scheme, whereby each user must carry a personal trusted device used to generate one-time passwords (OTPs) verified by online trusted parties. Multiple trusted parties may be used for increased scalability. OTPs can be used regardless of a transaction’s purpose (e.g. user authentication or financial payment), associated credentials, and online or on-site nature; this makes CROO a universal scheme. OTPs are not sent in cleartext; they are used as keys to compute MACs of hashed transaction information, in a manner allowing OTP-verifying parties to confirm that given user credentials (i.e. OTP-keyed MACs) correspond to claimed hashed transaction details. Hashing transaction details increases user privacy. Each OTP is generated from a PIN-encrypted non-verifiable key; this makes users’ devices resilient to off-line PIN-guessing attacks. CROO’s credentials can be formatted as existing user credentials (e.g. credit cards or driver’s licenses)

    Risk factors for delayed presentation and referral of symptomatic cancer: Evidence for common cancers

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    Background:It has been suggested that the known poorer survival from cancer in the United Kingdom, compared with other European countries, can be attributed to more advanced cancer stage at presentation. There is, therefore, a need to understand the diagnostic process, and to ascertain the risk factors for increased time to presentation.Methods:We report the results from two worldwide systematic reviews of the literature on patient-mediated and practitioner-mediated delays, identifying the factors that may influence these.Results:Across cancer sites, non-recognition of symptom seriousness is the main patient-mediated factor resulting in increased time to presentation. There is strong evidence of an association between older age and patient delay for breast cancer, between lower socio-economic status and delay for upper gastrointestinal and urological cancers and between lower education level and delay for breast and colorectal cancers. Fear of cancer is a contributor to delayed presentation, while sanctioning of help seeking by others can be a powerful mediator of reduced time to presentation. For practitioner delay, ‘misdiagnosis’ occurring either through treating patients symptomatically or relating symptoms to a health problem other than cancer, was an important theme across cancer sites. For some cancers, this could also be linked to inadequate patient examination, use of inappropriate tests or failing to follow-up negative or inconclusive test results.Conclusion:Having sought help for potential cancer symptoms, it is therefore important that practitioners recognise these symptoms, and examine, investigate and refer appropriately. © 2009 Cancer Research UK All rights reserved
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