International Journal of Engineering Research Updates最新文献

Utilizing predictive analytics to enhance supply chain efficiency and reduce operational costs 利用预测分析提高供应链效率并降低运营成本

International Journal of Engineering Research Updates Pub Date : 2024-07-30 DOI: 10.53430/ijeru.2024.7.1.0029

Motunrayo Oluremi Ibiyemi, David Olanrewaju Olutimehin

{"title":"Utilizing predictive analytics to enhance supply chain efficiency and reduce operational costs","authors":"Motunrayo Oluremi Ibiyemi, David Olanrewaju Olutimehin","doi":"10.53430/ijeru.2024.7.1.0029","DOIUrl":"https://doi.org/10.53430/ijeru.2024.7.1.0029","url":null,"abstract":"This study investigates the application of predictive analytics to enhance supply chain efficiency and reduce operational costs. The primary objective is to understand how predictive analytics can be leveraged to optimize various aspects of supply chain management, including demand forecasting, inventory management, and logistics. The research methodology involved a comprehensive literature review, coupled with a case study analysis of several organizations that have successfully implemented predictive analytics in their supply chain operations. Key findings reveal that predictive analytics significantly improves demand forecasting accuracy, which in turn optimizes inventory levels, reduces stockouts and overstock situations, and enhances overall supply chain responsiveness. Additionally, predictive analytics helps in identifying potential disruptions in the supply chain, allowing for proactive measures to mitigate risks and maintain continuity. The study also highlights the cost benefits, where organizations reported a notable reduction in operational costs due to improved efficiency and better resource allocation. The conclusions drawn emphasize the transformative potential of predictive analytics in supply chain management, suggesting that its strategic implementation can lead to substantial improvements in efficiency and cost savings. This research underscores the need for organizations to invest in advanced analytics tools and skills to fully harness the benefits of predictive analytics in their supply chain operations.","PeriodicalId":423246,"journal":{"name":"International Journal of Engineering Research Updates","volume":"11 29","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Electrical load flow analysis of Auchi distribution network without load shedding 无减载的Auchi配电网负荷潮流分析

International Journal of Engineering Research Updates Pub Date : 2023-05-30 DOI: 10.53430/ijeru.2023.4.2.0020

Micheal Rotimi Adu, Isah Osilama Oshiobugie, Tolulope David Makanju

{"title":"Electrical load flow analysis of Auchi distribution network without load shedding","authors":"Micheal Rotimi Adu, Isah Osilama Oshiobugie, Tolulope David Makanju","doi":"10.53430/ijeru.2023.4.2.0020","DOIUrl":"https://doi.org/10.53430/ijeru.2023.4.2.0020","url":null,"abstract":"The occurrence of loadshedding under normal operating condition in Distribution Network caused a lot of inconveniences to the consumer. However, there is need to examine the state of the distribution network to know the performance without load shedding under normal condition. This research examines the state of Auchi distribution network without load shedding. In order to achieve the aim of the research data was obtained from the distribution company, the modelling of the distribution network obtained was done using ETAP and the load flow simulation was done using Newton Raphson Algorithm to determine the power flow in the network, Bus voltage, losses along the line and transformer losses. The results of the study show that at 80% loading of the transformers in the network, the voltage supply to the consumer is bad under normal condition, since the two out of three 33 kV bus voltages is below the acceptable range of plus or minus 5% of the nominal voltage. Likewise, almost all 11 kV and 0.415kV voltages in the network is below the acceptable limit of plus or minus 10% of the nominal voltage. Furthermore, the result indicates that active power loss in the network is 0.2MW which is very high. This research therefore recommends that the voltage profile of AUCHI distribution network needs improvement in order to improve the quality of supply. Also, since the supply from the grid is be allocated based on the generating capacity this research also recommends that DISCO in charge of Auchi distribution network should also considering the usage of DG in the network which can perform a dual purpose of voltage improvement and addition of power supplied.","PeriodicalId":423246,"journal":{"name":"International Journal of Engineering Research Updates","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126317387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigating the effect of fabric design on properties of different weft knit fabrics 探讨织物设计对不同纬向针织物性能的影响

International Journal of Engineering Research Updates Pub Date : 2023-04-30 DOI: 10.53430/ijeru.2023.4.2.0019

Romana Akter, Taposh Ranjan Sarker, Sanaullah Murad, Ebrahim Shaikh

引用次数: 0

Design of automated reader for blind person 盲人自动阅读器的设计

International Journal of Engineering Research Updates Pub Date : 2023-04-30 DOI: 10.53430/ijeru.2023.4.2.0016

V.D Alagdeve, Shubham Khandare, Pratik Wankhede, Gulshan Pathode, Mayuri Nimje, Shruti Counder

引用次数: 0

A Lyapunov functional for vaccination model on the dynamics of cholera epidemic with non-linear incidence of infection 具有非线性感染发生率的霍乱流行动力学的Lyapunov泛函接种模型

International Journal of Engineering Research Updates Pub Date : 2023-04-30 DOI: 10.53430/ijeru.2023.4.2.0022

Lawal Jibril, Ibrahim Maihaja

引用次数: 0

Evaluation of Pre and Post-privatization of Nigeria’s electric power system 尼日利亚电力系统私有化前后的评价

International Journal of Engineering Research Updates Pub Date : 2023-03-30 DOI: 10.53430/ijeru.2023.4.1.0018

Thomas Olabode Ale, Rotimi Micheal Adu, Franklin Chibueze Madu, Tolulope David Makanju

{"title":"Evaluation of Pre and Post-privatization of Nigeria’s electric power system","authors":"Thomas Olabode Ale, Rotimi Micheal Adu, Franklin Chibueze Madu, Tolulope David Makanju","doi":"10.53430/ijeru.2023.4.1.0018","DOIUrl":"https://doi.org/10.53430/ijeru.2023.4.1.0018","url":null,"abstract":"The study was aimed at evaluating the performance of Nigeria’s Electric Power System before and during Privatization using Akure 33kV distribution Network as a case study. This is done to ascertain the effectiveness of the Privatization programme that occurred in the Electric Power Sector in Nigeria. The amount of energy served, the peak load supplied and load flow data of the Network for periods of 2010 to 2015 were collated from the daily log entry recording sheets of the 132/33kV transmission substation office in Akure. The percentage transformer loading and power transferred across the line were determined through load flow studies. The cost of energy not served due to faults was evaluated at a rate of NGN 24.30k per Kilo-Watt Hour (KWHr). The analysis was for a period of pre-privatization (2010-2012) and post-privatization (2013-2015). The results from the study indicate that the energy served decreased by 9% from 2010 to 2015 while the cost of energy not supplied increased largely after the Privatization. A decreasing rate in peak load supplied and transformer loadings were also observed during the Privatization. These results show that less customers might have been served or customers being served by this utility system experienced power outages more frequently in the post-privatization period than in the pre-privatization era.","PeriodicalId":423246,"journal":{"name":"International Journal of Engineering Research Updates","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115933960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model prediction of fatigue damage on offshore steel risers due to wave loading using FEA and ANN: A case of Forcados Offshore, Nigeria 基于有限元和神经网络的海上钢立管波浪载荷疲劳损伤模型预测——以尼日利亚Forcados offshore为例

International Journal of Engineering Research Updates Pub Date : 2023-02-28 DOI: 10.53430/ijeru.2023.4.1.0014

Usen Inemesit, Jasper Ahamefula Agbakwuru

引用次数: 0

Determination of linear attenuation coefficient of aggregate serpentine concrete exposed to gamma and neutron radioactive sources 受伽玛和中子放射源辐照的蛇形混凝土骨料线性衰减系数的测定

International Journal of Engineering Research Updates Pub Date : 2023-01-30 DOI: 10.53430/ijeru.2023.4.1.0068

Kayode James Adedoyin, Funminiyi Michael Oyekunle, John Simon

{"title":"Determination of linear attenuation coefficient of aggregate serpentine concrete exposed to gamma and neutron radioactive sources","authors":"Kayode James Adedoyin, Funminiyi Michael Oyekunle, John Simon","doi":"10.53430/ijeru.2023.4.1.0068","DOIUrl":"https://doi.org/10.53430/ijeru.2023.4.1.0068","url":null,"abstract":"This research was designed to perform linear attenuation calculations for ordinary concrete both through simulation and experiment. The linear attenuation coefficient is an essential parameter for radiation shielding design for both source transport casks and storage bunkers. The shielding properties of concrete designed with Serpentine aggregates of different granule sizes were investigated. The simulation was performed using Radpro computer Software while the experiment involved sourcing for local Serpentine rock, crushing into four different granule sizes of 5 mm, 10 mm, 15 mm and 20 mm respectively and casting the concrete samples, exposure of the samples to gamma and neutron radioactive sources and monitoring with a radiation survey meter, sample weight measurements and concrete sample crushing using a load testing machine for determination of the concrete compressive strength. The results of the linear attenuation calculations showed that there was high consistency in the values obtained by simulation with those obtained via experiment. Very high linear attenuation property was observed when the serpentine concrete samples were exposed to a neutron source, which corroborates the fact that Serpentine rock is a Boron-rich mineral and Boron is known to have high neutron absorption property. The experimentally determined linear attenuation coefficients showed that the values at 15 mm aggregate sizes were higher than those at 5 mm, 10 mm and 15 mm sizes respectively, which demonstrates that better shielding optimization, will be obtained when the concrete cask is fabricated with 15 mm aggregate size.","PeriodicalId":423246,"journal":{"name":"International Journal of Engineering Research Updates","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127593060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison analysis of flexible pavement runway layers between CBR, LCN, and FAA methods CBR法、LCN法和FAA法柔性路面跑道层数的比较分析

International Journal of Engineering Research Updates Pub Date : 2023-01-30 DOI: 10.53430/ijeru.2023.4.1.0011

Agus Muldyanto, Purwanto

引用次数: 0

ANFIS based data rate prediction for cognitive radio 基于ANFIS的认知无线电数据速率预测

International Journal of Engineering Research Updates Pub Date : 2022-11-30 DOI: 10.53430/ijeru.2022.3.2.0062

Manish Patidar

{"title":"ANFIS based data rate prediction for cognitive radio","authors":"Manish Patidar","doi":"10.53430/ijeru.2022.3.2.0062","DOIUrl":"https://doi.org/10.53430/ijeru.2022.3.2.0062","url":null,"abstract":"Intelligence is needed to keep up with the rapid evolution of wireless communications, especially in terms of managing and allocating the scarce, radio spectrum in the highly varying and disparate modern environments. Cognitive radio (CR) systems promise to handle this situation by utilizing intelligent software packages that enrich their transceiver with radio-awareness, adaptability and capability to learn. Its system participates in a continuous process, “the cognition cycle”, during which it adjusts its operating parameters, observes the results and, eventually takes actions, that is to say, decides to operate in a specific radio configuration (i.e., radio access technology, carrier frequency, modulation type, etc.) expecting to move the radio toward some optimized operational state. In such a process, learning mechanisms utilize information from measurements sensed from the environment, gathered experience and stored knowledge and guide in decision making. This paper evaluates learning schemes that are based on adaptive neuro-fuzzy inference system (ANFIS) for predicting the capabilities (e.g. data rate) that can be achieved by a specific radio configuration in cognitive radio. While CR is an intelligent emergent technology, where learning schemes are needed to assist in its functioning. On the other side, ANFIS based scheme is one of the good learning artificial intelligence method, that combines best features of neural network and fuzzy logic. Here proposed method is able to assist a cognitive radio system to help in selecting the best one radio configuration to operate in. Performance metric like root mean square error (RMSE), prediction accuracy of ANFIS learning has been used as performance index.","PeriodicalId":423246,"journal":{"name":"International Journal of Engineering Research Updates","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122727034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0