Pub Date : 2023-01-01DOI: 10.1504/ijor.2023.10056210
Ali Kansou, B. Kanso, A. Yassine
{"title":"Metaheuristic-based approaches for the multi-centre open home healthcare routing problem","authors":"Ali Kansou, B. Kanso, A. Yassine","doi":"10.1504/ijor.2023.10056210","DOIUrl":"https://doi.org/10.1504/ijor.2023.10056210","url":null,"abstract":"","PeriodicalId":35451,"journal":{"name":"International Journal of Operational Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76883468","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}
Pub Date : 2023-01-01DOI: 10.1504/ijor.2023.10058197
Daniel Inegbedion, Adedugba Adebayo
{"title":"Inventory Control Optimisation: the Dynamics of Deterministic Request Model of Pharmaceutical Appropriation and Storage","authors":"Daniel Inegbedion, Adedugba Adebayo","doi":"10.1504/ijor.2023.10058197","DOIUrl":"https://doi.org/10.1504/ijor.2023.10058197","url":null,"abstract":"","PeriodicalId":35451,"journal":{"name":"International Journal of Operational Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81066984","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}
Pub Date : 2023-01-01DOI: 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":null,"pages":null},"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}
Pub Date : 2023-01-01DOI: 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.
{"title":"Detection of the diffusion nanoparticle in the turbulent flows using the random walk model","authors":"Mohamed Abd Allah El Hadidy","doi":"10.1504/ijor.2023.129155","DOIUrl":"https://doi.org/10.1504/ijor.2023.129155","url":null,"abstract":"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.","PeriodicalId":35451,"journal":{"name":"International Journal of Operational Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135534324","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}
Pub Date : 2023-01-01DOI: 10.1504/ijor.2023.10060303
Mohammad Reza Mozaffari, Sahar Ostovan, Javad Gerami, Peter F. Wanke, Yong Tan
{"title":"A novel fuzzy network ASBM approach based on DEA and DEA-R models for efficiency measurement in oil refineries","authors":"Mohammad Reza Mozaffari, Sahar Ostovan, Javad Gerami, Peter F. Wanke, Yong Tan","doi":"10.1504/ijor.2023.10060303","DOIUrl":"https://doi.org/10.1504/ijor.2023.10060303","url":null,"abstract":"","PeriodicalId":35451,"journal":{"name":"International Journal of Operational Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135560519","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}
Pub Date : 2023-01-01DOI: 10.1504/ijor.2023.10054677
K. Senbagam, M. Kokilamani
{"title":"A partial back-ordering inventory model for Gompertz deteriorating items with quadratic demand and shortages in a fuzzy environment","authors":"K. Senbagam, M. Kokilamani","doi":"10.1504/ijor.2023.10054677","DOIUrl":"https://doi.org/10.1504/ijor.2023.10054677","url":null,"abstract":"","PeriodicalId":35451,"journal":{"name":"International Journal of Operational Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77722050","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}
Pub Date : 2023-01-01DOI: 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":null,"pages":null},"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}
Pub Date : 2023-01-01DOI: 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.
{"title":"Inventory model for the growing items with price dependent demand, mortality and deterioration","authors":"Amit Kumar Saraswat, Ashish Sharma","doi":"10.1504/ijor.2023.132818","DOIUrl":"https://doi.org/10.1504/ijor.2023.132818","url":null,"abstract":"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.","PeriodicalId":35451,"journal":{"name":"International Journal of Operational Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135733544","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}
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