Pub Date : 2019-08-12DOI: 10.15226/2473-3032/4/1/00139
Amadeo Ascó
Correct assignment of airport resources can greatly affect the quality of service which airlines and airports provide to their customers. Good assignments can help airlines and airports keep to published schedules, by minimising changes in published schedules, reducing delays, and considering the different stakeholder interests. When taking into account the passenger’s walking distance, the Airport Gate Assignment Problem (AGAP) can be modeled by analogy with the NPhard quadratic assignment problem. Also given the expected increases in civil air traffic, the complexities of the resource assignment problems continue to increase. For these reasons, as well as the dynamic nature of the problems, scheduling has become more difficult. The Steady State Evolutionary Algorithm (SSEA) used in the Airport Baggage Sorting Station Assignment Problem (ABSSAP) is potentially important for a wider variety of problems other than the ABSSAP. By way of illustration, here we look at applying the SSEA to the more widely studied AGAP. Some of the metaheuristics and constructive algorithms previously used in the ABSSAP are modified, modifications which are required to be able to apply these metaheuristics to the AGAP, and the constructive algorithms are used as initial solutions in the SSEA presented here for the AGAP. The SSEA is studied, and compared with other metaheuristics approaches, which performance is studied in regard to the different objectives used at London Heathrow airport.
{"title":"Steady State Evolutionary Algorithm and Operators for the Airport Gate Assignment Problem","authors":"Amadeo Ascó","doi":"10.15226/2473-3032/4/1/00139","DOIUrl":"https://doi.org/10.15226/2473-3032/4/1/00139","url":null,"abstract":"Correct assignment of airport resources can greatly affect the quality of service which airlines and airports provide to their customers. Good assignments can help airlines and airports keep to published schedules, by minimising changes in published schedules, reducing delays, and considering the different stakeholder interests. When taking into account the passenger’s walking distance, the Airport Gate Assignment Problem (AGAP) can be modeled by analogy with the NPhard quadratic assignment problem. Also given the expected increases in civil air traffic, the complexities of the resource assignment problems continue to increase. For these reasons, as well as the dynamic nature of the problems, scheduling has become more difficult. The Steady State Evolutionary Algorithm (SSEA) used in the Airport Baggage Sorting Station Assignment Problem (ABSSAP) is potentially important for a wider variety of problems other than the ABSSAP. By way of illustration, here we look at applying the SSEA to the more widely studied AGAP. Some of the metaheuristics and constructive algorithms previously used in the ABSSAP are modified, modifications which are required to be able to apply these metaheuristics to the AGAP, and the constructive algorithms are used as initial solutions in the SSEA presented here for the AGAP. The SSEA is studied, and compared with other metaheuristics approaches, which performance is studied in regard to the different objectives used at London Heathrow airport.","PeriodicalId":275207,"journal":{"name":"International Journal of Advanced Robotics and Automation","volume":"2020 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131050466","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 : 2019-01-04DOI: 10.15226/2473-3032/4/1/00138
A. Jerwinprabu, Ashish Tuptee
The mathematical model of mover is determined using a NewtonEuler formulation. This paper deals with the simulation depend on proposed controller of an industrial mover that can overcome this trouble. It is important to notice that these control loop parameters error cannot be eliminated from the interaction system completely. Within these possibilities, the control system’s performance and the robustness must be considered as important. The aim is to provide industrial oriented solutions and improve the behavior of a differential control system, with an Auto tuning Proportional-Integral-Derivative (ATPID) controller structure. Fractional Order Proportional Integral Derivative controller tuned by genetic algorithm, it is investigated to control and stabilize the position and attitude of control system using feedback linearization. This controller is used as a reference to compare its results with Proportional Integral Derivative (PID) controller tuned by gain margin. The control structure performance is evaluated through the response and minimizing the error of the position and attitude. Simulation results, demonstrates that position and attitude control using auto PID has fast response, better steady state error and measurement error than PID. By simulation the two controllers are tested under the same conditions using Simulink under Matlab programming.
{"title":"Non Linear and Multi Fractional Tuning Method for Autonomous Vehicles","authors":"A. Jerwinprabu, Ashish Tuptee","doi":"10.15226/2473-3032/4/1/00138","DOIUrl":"https://doi.org/10.15226/2473-3032/4/1/00138","url":null,"abstract":"The mathematical model of mover is determined using a NewtonEuler formulation. This paper deals with the simulation depend on proposed controller of an industrial mover that can overcome this trouble. It is important to notice that these control loop parameters error cannot be eliminated from the interaction system completely. Within these possibilities, the control system’s performance and the robustness must be considered as important. The aim is to provide industrial oriented solutions and improve the behavior of a differential control system, with an Auto tuning Proportional-Integral-Derivative (ATPID) controller structure. Fractional Order Proportional Integral Derivative controller tuned by genetic algorithm, it is investigated to control and stabilize the position and attitude of control system using feedback linearization. This controller is used as a reference to compare its results with Proportional Integral Derivative (PID) controller tuned by gain margin. The control structure performance is evaluated through the response and minimizing the error of the position and attitude. Simulation results, demonstrates that position and attitude control using auto PID has fast response, better steady state error and measurement error than PID. By simulation the two controllers are tested under the same conditions using Simulink under Matlab programming.","PeriodicalId":275207,"journal":{"name":"International Journal of Advanced Robotics and Automation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133467399","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 : 2018-10-31DOI: 10.15226/2473-3032/3/2/00137
M. Ahmed, T. Zayed, Ashraf Elazouni
Cash flow modeling is crucial to contractors in order to sustain business. Contractors carry out multiple activities within a single project wherein the change of the start times of the activities have varying impact on the values of periodical negative cumulative balances and the other cash-flow parameters. Thus, changing the activities' start times leads consequently to changes in the value of the maximum negative cumulative balance and other cash-flow parameters as well. Schedule-driven cash flow models are typically generated to identify the impact of activities start times on projects' cash flow parameters. In this paper, Monte Carlo simulation technique has been employed to generate schedules and their associated cash flow parameters. The activities' start times are assumed to follow uniform discrete probability distributions with the minimum and maximum values representing the early and late start times respectively. Further, the proposed simulation model considered the stochastic nature of cash in and cash out transactions by incorporating the impact of 43 qualitative factors. Three scenarios are defined; each scenario incorporates a different numbers of qualitative factors. Advanced sensitivity analysis is performed to measure the impact of changing the start times on cash flow using the correlation coefficients. Finally, the proposed simulation model help practitioners identify the activities that highly impact the cash flow and provides a metric to measure the strength of their impact.
{"title":"Assessment of the Impact of Changing Activities’ Start Times on Cash-Flow Parameters","authors":"M. Ahmed, T. Zayed, Ashraf Elazouni","doi":"10.15226/2473-3032/3/2/00137","DOIUrl":"https://doi.org/10.15226/2473-3032/3/2/00137","url":null,"abstract":"Cash flow modeling is crucial to contractors in order to sustain business. Contractors carry out multiple activities within a single project wherein the change of the start times of the activities have varying impact on the values of periodical negative cumulative balances and the other cash-flow parameters. Thus, changing the activities' start times leads consequently to changes in the value of the maximum negative cumulative balance and other cash-flow parameters as well. Schedule-driven cash flow models are typically generated to identify the impact of activities start times on projects' cash flow parameters. In this paper, Monte Carlo simulation technique has been employed to generate schedules and their associated cash flow parameters. The activities' start times are assumed to follow uniform discrete probability distributions with the minimum and maximum values representing the early and late start times respectively. Further, the proposed simulation model considered the stochastic nature of cash in and cash out transactions by incorporating the impact of 43 qualitative factors. Three scenarios are defined; each scenario incorporates a different numbers of qualitative factors. Advanced sensitivity analysis is performed to measure the impact of changing the start times on cash flow using the correlation coefficients. Finally, the proposed simulation model help practitioners identify the activities that highly impact the cash flow and provides a metric to measure the strength of their impact.","PeriodicalId":275207,"journal":{"name":"International Journal of Advanced Robotics and Automation","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132145898","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 : 2018-07-30DOI: 10.15226/2473-3032/3/2/00136
A. Kashyap, A. Pandey
Motion planning is one of the most important parts when we design any wheeled or walking robots. The meaning of motion planning is to plan a path from start point to goal point between obstacles in any working environment. Many techniques have applied by researchers from last two-three decades for wheeled robot motion planning. This article presents a critical review on motion planning of wheeled robot by using different nature-inspired techniques like evolutionary algorithm and swarm-based optimization algorithm.
{"title":"Different Nature-Inspired Techniques Applied for Motion Planning of Wheeled Robot: A Critical Review","authors":"A. Kashyap, A. Pandey","doi":"10.15226/2473-3032/3/2/00136","DOIUrl":"https://doi.org/10.15226/2473-3032/3/2/00136","url":null,"abstract":"Motion planning is one of the most important parts when we design any wheeled or walking robots. The meaning of motion planning is to plan a path from start point to goal point between obstacles in any working environment. Many techniques have applied by researchers from last two-three decades for wheeled robot motion planning. This article presents a critical review on motion planning of wheeled robot by using different nature-inspired techniques like evolutionary algorithm and swarm-based optimization algorithm.","PeriodicalId":275207,"journal":{"name":"International Journal of Advanced Robotics and Automation","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114809761","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 : 2018-05-31DOI: 10.15226/2473-3032/3/2/00135
Babak Zareiyan, Mehdi Korjani
In this paper we introduce 3D-Chain, a decentralized solution based on blockchain technology to global manufacturing challenges for industry 4.0 revolution [1]. 3D-Chain aims to provide an ecosystem for manufacturers, designers, and consumer to interact efficiently without any restriction. Within this framework, the benefits of manufacturing become a global common infrastructure for all. Moreover, demand for personalized design is exponentially growing every year and soon dominate the manufacturing and the economy. However, manufacturing new items and personalized them are very expensive and time-consuming. 3D-Chain facilitates the mass customization through its network to answer this global demand and it is designed to incentivize and reward beneficial players. Developing and building innovation processes that prioritize global growth in economy, supporting software infrastructure for sustainable merge of fabrication technologies into a new decentralized manufacturing market, addressing cross-functional components in manufacturing and design, decentralizing manufacturing to increase performance and reduce waiting time and cost, unlocking mass customization, and Evaluating consumers, business, manufacturers, services providers, and suppliers are 3D-Chain’s mission and objectives.
{"title":"Blockchain Technology for Global Decentralized Manufacturing: Challenges and Solutions for Supply Chain in Fourth Industrial Revolution","authors":"Babak Zareiyan, Mehdi Korjani","doi":"10.15226/2473-3032/3/2/00135","DOIUrl":"https://doi.org/10.15226/2473-3032/3/2/00135","url":null,"abstract":"In this paper we introduce 3D-Chain, a decentralized solution based on blockchain technology to global manufacturing challenges for industry 4.0 revolution [1]. 3D-Chain aims to provide an ecosystem for manufacturers, designers, and consumer to interact efficiently without any restriction. Within this framework, the benefits of manufacturing become a global common infrastructure for all. Moreover, demand for personalized design is exponentially growing every year and soon dominate the manufacturing and the economy. However, manufacturing new items and personalized them are very expensive and time-consuming. 3D-Chain facilitates the mass customization through its network to answer this global demand and it is designed to incentivize and reward beneficial players. Developing and building innovation processes that prioritize global growth in economy, supporting software infrastructure for sustainable merge of fabrication technologies into a new decentralized manufacturing market, addressing cross-functional components in manufacturing and design, decentralizing manufacturing to increase performance and reduce waiting time and cost, unlocking mass customization, and Evaluating consumers, business, manufacturers, services providers, and suppliers are 3D-Chain’s mission and objectives.","PeriodicalId":275207,"journal":{"name":"International Journal of Advanced Robotics and Automation","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121180950","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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