International Journal of Mathematical Engineering and Management Sciences最新文献_第10页

Load Redistribution-based Reliability Enhancement for Storage Area Networks 基于负载再分配的存储区域网络可靠性增强

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-02-01 DOI: 10.33889/ijmems.2023.8.1.001

Guixiang Lv, L. Xing, Honggang Wang, Hong Liu

{"title":"Load Redistribution-based Reliability Enhancement for Storage Area Networks","authors":"Guixiang Lv, L. Xing, Honggang Wang, Hong Liu","doi":"10.33889/ijmems.2023.8.1.001","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.1.001","url":null,"abstract":"Storage area networks (SANs) are one of the prevalent reliable data storage solutions. However, cascading failures triggered by data overloading have become a major threat to SANs, preventing the desired quality of service from being delivered to users. Based on our preliminary works on studying the impacts of data loading on the reliability performance of SANs, this paper advances the state of the art by implementing node degree-based load redistribution strategies to enhance the SAN reliability, thus mitigating or even preventing the occurrence of cascading failures during the mission time. Load-based and reliability-based node selection rules are considered, which choose nodes with the highest load level and the lowest reliability for load redistribution, respectively. The relationship between data loading and reliability of an individual SAN component is modeled using the accelerated failure-time model with the power law. The SAN reliability is assessed using a combinatorial decision diagram-based approach. The application and effectiveness of the proposed load redistribution strategies are demonstrated and compared through a case study of an SAN with the mesh topology.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45205545","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

Simulation of Supply Chain Performance in the Period of Implicit Uncertainty using Cellular Automata 隐式不确定性时期供应链绩效的元胞自动机模拟

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-02-01 DOI: 10.33889/ijmems.2023.8.1.010

R. Suryawanshi, R. Deore

{"title":"Simulation of Supply Chain Performance in the Period of Implicit Uncertainty using Cellular Automata","authors":"R. Suryawanshi, R. Deore","doi":"10.33889/ijmems.2023.8.1.010","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.1.010","url":null,"abstract":"Managing a distribution planning problem in an integrated supply chain environment is daunting. These challenges are aggravated when there are multiple stakeholders involved. The proposed simulation model provides an environment to gauge the existing adversities in the distribution plan of a two-stage supply chain (SC) network. In addition to the underlined issues, the model captures the influence of decisions from neighboring firms in a periodical decision-making plan. A cellular automaton (CA) based approach is implemented to present the complete analysis and impact of endogenous and exogenous situations affecting the decision-making. The decision environment involves two states of selecting an efficient supply chain strategy (ESC) and responsive supply chain strategy (RSC) based on the implicit uncertainty and performance of Moore-based neighboring cells. The study contributes to the scant literature on the application of CA-based evolutionary decisions in the SC context. The simulation model characterizes the neighboring firm's influences in strategic decision-making and the implicit uncertainty in supply and demand. The modeling framework is tested with a significantly larger set, and the results are graphically presented to provide further clarity.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43393526","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

Risk Managed Cloud Adoption: An ANP Approach 风险管理的云采用:ANP方法

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-02-01 DOI: 10.33889/ijmems.2023.8.1.005

Shikha Gupta, S. Pani, K. Muduli, A. Vaish, Ashok Kumar

{"title":"Risk Managed Cloud Adoption: An ANP Approach","authors":"Shikha Gupta, S. Pani, K. Muduli, A. Vaish, Ashok Kumar","doi":"10.33889/ijmems.2023.8.1.005","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.1.005","url":null,"abstract":"To meet the ever-increasing demand for offering a sustainable environment, organizations are beginning to aim for cloud adoption and the migration of their IT infrastructure and operations to the cloud, utilizing various cloud-based technologies. However, cloud adoption has been impeded by the risk of being exposed as a result of a variety of concerns, including performance, security, and privacy concerns, as well as vulnerabilities and data portability. As a result, this study was carried out to investigate and analyse a variety of risks that come with cloud computing adoption by estimating the impact and frequency of these hazards. In this study, the Analytical Network Process (ANP) is used to prioritise these hazards. Prioritization of these risks based on their influence on cloud adoption may be useful for organizations in building a corrective action plan. According to their negative influence on cloud adoption, \"business continuity and recovery planning\" and \"poor availability of services\" are shown to be the most prominent hazards. This research also found that the two most common dangers encountered by cloud adopters in India are \"poor availability of services\" and \"slow response rate.\"","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48970058","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

Generalized Second-Order G-Wolfe Type Fractional Symmetric Program and their Duality Relations under Generalized Assumptions 广义二阶G-Wolfe型分数对称规划及其在广义假设下的对偶关系

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-02-01 DOI: 10.33889/ijmems.2023.8.1.009

Arvind Kumar, Rajnish Kumar, Naresh Kumar, Khursheed Alam, Ramu Dubey

引用次数: 0

Evaluating Biofuel Energy Policies for Sustainable Transportation Sector: A System Dynamics Approach 可持续交通部门生物燃料能源政策评估:系统动力学方法

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-02-01 DOI: 10.33889/ijmems.2023.8.1.008

V. Mahate, Anand Bisen, S. Vishwakarma, S. Avikal, R. Jain

{"title":"Evaluating Biofuel Energy Policies for Sustainable Transportation Sector: A System Dynamics Approach","authors":"V. Mahate, Anand Bisen, S. Vishwakarma, S. Avikal, R. Jain","doi":"10.33889/ijmems.2023.8.1.008","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.1.008","url":null,"abstract":"Energy is vital for techno-socio-economic development of global transportation sector. A country’s energy policy will aim to provide an appropriate mix of resources to meet its energy demand. Biofuels have emerged as an alternative to meet the energy requirements. The contribution of this study is the evaluation of sustainable biofuel energy policies to increase the usage of biofuels in the transport sector without affecting the country's food security and to achieve social, economic and environmental benefits. The successful implementation of complex relationship between the factors influencing the production and use of biofuels is also addressed. In the present work, a system dynamics model has been developed to evaluate biofuel production focusing food security and to assess its impact on the economy and the environment. Simulation results have shown that the maximum biodiesel blending between 3.03% to 11.01% is possible without impacting the food security. It has been noted that 20% or less of biodiesel blends can be used as direct replacements for diesel fuel in all heavy-duty diesel vehicles without any alteration or modification of their engines. It has been demonstrated that biofuel blending strategies have a positive impact on the reduction of CO2 emission in the Indian transport sector.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45616306","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

Studying Multi-Stage Diffusion Dynamics using Epidemic Modeling Framework 基于流行病建模框架的多阶段扩散动力学研究

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-02-01 DOI: 10.33889/ijmems.2023.8.1.007

H. Kumar, Ompal Singh, Adarsh Anand, M. S. Irshad

引用次数: 0

Blockchain in Supply Chain Management: A Synthesis of Barriers and Enablers for Managers 供应链管理:管理人员的障碍和促进因素的综合

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-02-01 DOI: 10.33889/ijmems.2023.8.1.002

Huzaifa Kafeel, Prof Vikas Kumar, L. Duong

{"title":"Blockchain in Supply Chain Management: A Synthesis of Barriers and Enablers for Managers","authors":"Huzaifa Kafeel, Prof Vikas Kumar, L. Duong","doi":"10.33889/ijmems.2023.8.1.002","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.1.002","url":null,"abstract":"Blockchain is an emerging and disruptive technology and has the potential to change how supply chains manage their information. However, Blockchain is accompanied by challenges, such as increased information technology complexity, issues of scalability, incompatibility with existing laws and regulations, and a lack of awareness among organisations and customers. This research conducts a bibliometric analysis based on a sample of 68 papers which address the barriers and enablers of blockchain adoption in supply chain management. A recurring theme in the papers was managers’ lack of understanding of Blockchain, which acted as a barrier to adoption. This study proposes a possible explanation by arguing that the academic models used in literature are too obscure from a manager’s perspective and that there is a need to synthesise literature into a framework which is easily understood and familiar. Therefore, the barriers and enablers identified in this study were grouped into the robust Political, Economic, Social, Technological, Legal, and Environment (PESTLE) framework. A key finding from this framework was the absence of political barriers or enablers, which is surprising since blockchain adoption challenges the current status quo in multiple ways. Furthermore, the environmental enablers and barriers were scarcely discussed, with little empirical evidence.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47466205","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: 3

Robust Facility Location of Container Clinics: A South African Application 集装箱诊所的稳健设施位置:南非的应用

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-02-01 DOI: 10.33889/ijmems.2023.8.1.003

C. Karsten, W. Bean, Q. V. Heerden

{"title":"Robust Facility Location of Container Clinics: A South African Application","authors":"C. Karsten, W. Bean, Q. V. Heerden","doi":"10.33889/ijmems.2023.8.1.003","DOIUrl":"https://doi.org/10.33889/ijmems.2023.8.1.003","url":null,"abstract":"There is a lack of dynamic facility location models for developing countries that consider the changes in the problem environment over time, such as patient population and population migration. Therefore, this paper focuses on using optimization and goal programming to locate health care facilities in an uncertain environment using multiple possible future urban development senarios. To achieve this, a robust multi-objective facility location model is developed and used to determine locations for container clinic deployment over multiple years in selected communities in South Africa. A synthetic population and urban growth simulation model are used to estimate population density and distribution from 2018 to 2030 for three development senarios. The results from the urban growth simulation model are then used as input into the facility location model to locate facilities whilst considering the three future development scenarios. Results of the model indicate that the robust model can be used to find locations that provide a relatively good solution to all considered development scenarios, providing key role players with quantitative decision support during network design under uncertainty. An accessibility analysis investigates the impact of the prescribed accessibility percentage on model results and a budget analysis evaluates the impact of a case that includes a budget constraint. From these two analyses it is illustrated that the model is sensitive to changes in parameters and that the model can be used by key stakeholders to combine network design and urban development planning for improved decision making.","PeriodicalId":44185,"journal":{"name":"International Journal of Mathematical Engineering and Management Sciences","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47336793","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

Dimension Reduced Modeling of Blood Flow in Large Arteries 大动脉血流的降维建模

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-33087-2

T. Köppl, R. Helmig

引用次数: 0

Optimization Methods in Mathematical Modeling of Technological Processes 工艺过程数学建模中的优化方法

IF 1.6

International Journal of Mathematical Engineering and Management Sciences Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-35339-0

A. Vagaská, M. Gombár, A. Panda

引用次数: 0