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Metaheuristic-based approaches for the multi-centre open home healthcare routing problem 基于元启发式的多中心开放式家庭医疗保健路径问题研究
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.10056210
Ali Kansou, B. Kanso, A. Yassine
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引用次数: 0
Inventory Control Optimisation: the Dynamics of Deterministic Request Model of Pharmaceutical Appropriation and Storage 库存控制优化:药品占用和储存的确定性请求模型动力学
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.10058197
Daniel Inegbedion, Adedugba Adebayo
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引用次数: 0
Analysis of MMAP/PH(1), PH(2)/1 Non-Preemptive Priority Queueing Model with Phase-Type Vacation and Repair, Feedback, Breakdown, Closedown and Reneging MMAP/PH(1), PH(2)/1非抢占优先级队列模型的相位型休假及修复、反馈、故障、关闭和违约分析
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.10059338
Meena S, Ayyappan G
{"title":"Analysis of MMAP/PH(1), PH(2)/1 Non-Preemptive Priority Queueing Model with Phase-Type Vacation and Repair, Feedback, Breakdown, Closedown and Reneging","authors":"Meena S, Ayyappan G","doi":"10.1504/ijor.2023.10059338","DOIUrl":"https://doi.org/10.1504/ijor.2023.10059338","url":null,"abstract":"","PeriodicalId":35451,"journal":{"name":"International Journal of Operational Research","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135650371","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
Detection of the diffusion nanoparticle in the turbulent flows using the random walk model 用随机游走模型检测湍流中纳米颗粒的扩散
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.129155
Mohamed Abd Allah El Hadidy
A probabilistic detection model is proposed to determine the location of random walk nanoparticles in the turbulent flows. This model maximises the benefits for the environmental, industrial and biological applications. In this paper, we present a generalised coordinated linear detection technique to find a one-dimensional random walk nanoparticle between two layers in turbulent flows. We have two sensors can start the searching process from any point rather than the origin. The initial position of the nanoparticle is a random variable that has a known probability distribution. More than showing the existence of a finite search plan, we derive some auxiliary results related to optimal search plan which minimises the expected value of the first meeting time between one of the sensors and the nanoparticle. A numerical example is provided to illustrate the effectiveness of this technique.
提出了一种确定湍流中随机游动纳米粒子位置的概率检测模型。这种模式最大限度地提高了环境、工业和生物应用的效益。在本文中,我们提出了一种广义协调线性检测技术来寻找湍流两层之间的一维随机行走纳米颗粒。我们有两个传感器可以从任意点开始搜索过程,而不是从原点开始。纳米粒子的初始位置是一个具有已知概率分布的随机变量。除了证明有限搜索计划的存在性外,我们还得到了一些与最优搜索计划相关的辅助结果,该计划使其中一个传感器与纳米粒子之间的第一次相遇时间的期望值最小。算例说明了该方法的有效性。
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引用次数: 1
A novel fuzzy network ASBM approach based on DEA and DEA-R models for efficiency measurement in oil refineries 基于DEA和DEA- r模型的炼油厂效率评价模糊网络ASBM方法
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.10060303
Mohammad Reza Mozaffari, Sahar Ostovan, Javad Gerami, Peter F. Wanke, Yong Tan
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引用次数: 0
A partial back-ordering inventory model for Gompertz deteriorating items with quadratic demand and shortages in a fuzzy environment 模糊环境下二次需求和短缺情况下Gompertz劣化物品的部分缺货库存模型
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.10054677
K. Senbagam, M. Kokilamani
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引用次数: 0
Energy Demand Forecasting Using A Novel Optimised Fourier Grey Markov Based Approach 基于傅里叶灰色马尔可夫方法的能源需求预测
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.10056840
A. Saib, Noorshanaaz Khodabaccus
{"title":"Energy Demand Forecasting Using A Novel Optimised Fourier Grey Markov Based Approach","authors":"A. Saib, Noorshanaaz Khodabaccus","doi":"10.1504/ijor.2023.10056840","DOIUrl":"https://doi.org/10.1504/ijor.2023.10056840","url":null,"abstract":"","PeriodicalId":35451,"journal":{"name":"International Journal of Operational Research","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81394525","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
Dynamic programming approach to achieve higher view-count for YouTube videos 动态规划方法,以实现更高的YouTube视频观看数
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.129965
Mohammed Shahid Irshad, Adarsh Anand, Sankar Kumar Roy
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引用次数: 1
A separable programming approach for resource optimisation in controlling epidemics 流行病控制中资源优化的可分离规划方法
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.134780
A.C. Mahasinghe, K.K.W.H. Erandi, S.S.N. Perera
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引用次数: 0
Inventory model for the growing items with price dependent demand, mortality and deterioration 具有价格依赖需求、死亡率和劣化的成长型商品库存模型
Q4 Decision Sciences Pub Date : 2023-01-01 DOI: 10.1504/ijor.2023.132818
Amit Kumar Saraswat, Ashish Sharma
Growing items like livestock, chicks, etc. gain weight in the growing phase but some of them are lost due to mortality. In the selling phase, some inventory is lost due to deterioration. Such aspects make procurement decisions quite difficult for these items. In the light of such aspects, we developed an inventory model for the growing items with price dependent demand, mortality and deterioration. Shortages are partially backlogged. Our aim is to optimise the total cost by determining the optimal ordered quantity and total cycle length. Convexity of the cost function with respect to the decision variables has been discussed analytically. Solution procedure along with numerical example at different percentage of backlogged quantity is provided to show the applicability and validity of our model. Sensitivity analysis shows that total cycle length is the most sensitive among all the decision variables and parameters.
牲畜、小鸡等生长物在生长阶段会增重,但其中一些会因死亡而损失。在销售阶段,一些库存由于变质而损失。这些方面使得这些项目的采购决策相当困难。针对这些方面,我们建立了具有价格依赖需求、死亡率和劣化的增长型物品的库存模型。短缺部分是积压的。我们的目标是通过确定最优订货量和总周期长度来优化总成本。对成本函数对决策变量的凸性进行了分析讨论。给出了不同积压量百分比下的求解过程和数值算例,说明了模型的适用性和有效性。灵敏度分析表明,总周期长度是所有决策变量和参数中最敏感的。
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引用次数: 1
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International Journal of Operational Research
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