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- 저자 : Atul Kumar Sahu (검색결과 4 건)
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Atul Kumar Sahu,Abhijeet Katyayan,Umesh Khandey,Prashant Jangde,Anoop Kumar Sahu,Nitin Kumar Sahu 인하대학교 정석물류통상연구원 2023 JOURNAL OF INTERNATIONAL LOGISTICS AND TRADE Vol.21 No.1
Purpose – Block chain technology (BCT) has apparent capability of handling information in digital format, which has dragged attention of the practitioners for its utility in industrial and manufacturing practices. Conversely, the managerial adoption of BCT is relatively limited, which motivated the authors to identify crucial dimensions that can persuade the acceptance of BCT from an executive perspective. Thus, the present study is aimed to conduct to understand crucial barriers under BCT for managerial implementation in supply chain management (SCM) of small and medium enterprises (SMEs). Design/methodology/approach – The present study investigated evident barriers to understand implementation of BCT. A questionnaire based survey is performed to collect primary data from service and manufacturing based companies in India. Survey responses are received online and the data is analyzed in a scorecard. The scorecard embedded the scribed entries of Likert scale to determine the relative score. Findings – In present study, sixteen barriers from three categories named as technological, organizational and environmental are evaluated, where, five sub-barriers from technological domain, seven sub-barriers from organizational domain and four sub-barriers from environmental domain are evaluated. The findings of the study determined that the three factors, i.e. “complexity in setup/use”, “Security and privacy concern” and “Technological awareness” mostly affect the adaptation of BCT in SCM. Conversely, “Market dynamics”, “Scalability” and “Cost” do not influence the intention to adopt the technology. Originality/value – Only few studies have endeavored to ascertain the BCT adoption in SCM of SMEs in developing country like India. Thus, the study is filling a momentous gap of mapping BCT dimensions in the scholastic literature. The findings are expected to enable SMEs to understand important factors to be considered for adopting BCT in their curriculum. Furthermore, the study may benefit the BCT developers and suppliers to endure customized solutions based on the findings.
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Atul Kumar Sahu,Amita Verma 한국약제학회 2016 Journal of Pharmaceutical Investigation Vol.46 No.3
The present research was intended to develop a gastroretentive controlled release multiparticulate delivery system for a hypoglycemic drug, metformin hydrochloride (MTF) that could efficiently deliver the drug in active form and also increase its systemic bioavailability. In vitro and in vivo evaluations were performed to determine the efficacy of the formulation. MTF loaded microspheres were prepared by W/O/O double emulsion-solvent evaporation method and optimized by 32 full factorial design. The ratio of eudragit RL100 & RS100 (EL:ES) and the chitosan concentration were evaluated as independent variables for dependent variables viz. percent drug release (%DR), percent yield (%Y) and encapsulation efficiency (EE). The morphological characteristics of the microspheres were assessed using scanning electron microscopy which revealed non-aggregated, spherical shape microspheres with rough and rugged surfaces. The particle size range of the formulated microspheres was found to be *74.77–111.18 lm. In vitro drug release best fitted Korsmeyer Peppas release characteristics with Fickian diffusion release mechanism. The optimized batch F1 demonstrated 84.17 ± 5.80 % drug release, 85.47 ± 0.28 % yield and 70.79 ± 0.67 % EE. Optimized batch performed superior pharmacokinetics with prolonged and increased intensity of hypoglycemic effect (87.68 ± 4.9 %) a relative bioavailability of 154.71 % with respect to the marketed product (56.67 ± 4.7 %). These findings highlight the potential of formulated microparticles as a superior candidate for gastro-retentive sustained release delivery of MTF with respect to marketed product.
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Neelesh Kumar Sahu,Atul B. Andhare 한국CDE학회 2019 Journal of computational design and engineering Vol.6 No.1
This paper explores use of Teaching Learning Based Optimization (TLBO), ‘JAYA’ (Sanskrit word means Victory) and Genetic Algorithm (GA) for the combined minimization of roughness of machined surface and forces generated in cutting in turning of Ti-6Al-4V. Experimentation was carried out with Response Surface Methodology (RSM) and the Central Composite Design (CCD). Speed of cutting (m/min), feed rate (mm/min) and depth of cut (mm) were the design variables for optimization. Two responses (roughness of machined surface and force of cutting) were independently minimized. RSM was useful in finding empirical relations and the effect of each parameter and their interactions on the responses considered. Analysis of variance (ANOVA) was used to find out the effective and non-effective factors and correctness of the models. Later on, a multi-objective optimization function was developed for minimizing both – roughness in machined surface and force generated in cutting using weights method and the correctness of weights were confirmed by Analytical Hierarchy Process (AHP). After formulating the combined objective function, TLBO, ‘JAYA’ and GA methods were used for further parameter optimization of the turning process. Performance of TLBO and ‘JAYA’ algorithm was compared with that of Genetic Algorithm (GA). It is found that TLBO and ‘JAYA’ performed better than GA in the combined minimization of roughness and forces in while turning Ti-6Al-4V. It is also found from the results that higher cutting speed (171.4 m/min) and lower feed rate (55.6 mm/min) can produce better surface roughness and minimum cutting forces in machining of Ti-6Al-4V.
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Advanced Surface Engineering Approaches for Exotic Applications
Sutanuka Mohanty,Soumyabrata Basak,Debasis Saran,Kajari Chatterjee,Turin Datta,Atul Kumar,Chandra Prakash,Doo-Man Chun,Sung-Tae Hong,Kisor Kumar Sahu 한국정밀공학회 2024 International Journal of Precision Engineering and Vol.25 No.2
Selection and classification of suitable materials for exotic applications, including aviation/space, nuclear, oil &gas industries, are still challenging since these applications are typically very demanding in terms of microstructural, mechanical, and electrochemical properties. Surface engineering plays an important role in controlling the properties of the exposed surface, which play key roles in interfacing with another material or exposure to the environment, promoting desirable chemical reactions, and suppression of corrosion. Hence, modification of the surface characteristics of desired materials to the desired depth without altering their bulk properties is essential. The present review focuses on using some of the latest and most advanced surface engineering tool sets such as laser, electron beam (EB), friction stir processing (FSP), ion beam, and plasma immersion ion implantation (PIII). Such techniques provide substantial improvements in wear and corrosion resistance, reduction in frictional losses, increased fatigue life, and enhanced chemical stability at high temperatures for exotic applications.
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