Ori Aharon - IEEE Xplore Author Profile
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Ori Aharon

Publications
5
Citations
29
Publications by Year
20182024
Co-Authors:
Image of author Ori Aharon

Ori Aharon

Affiliation

School of Electrical and Computer Engineering
Ben-Gurion University of the Negev
Beer-Sheva, Israel

Publication Topics

Biography

Ori Aharon received the B.Sc. and M.Sc. degrees (magna cum laude) in mechanical engineering in 2017 and 2018, respectively, from Ben-Gurion University (BGU) of the Negev, Beer-Sheva, Israel, where he is currently working toward the Ph.D. degree in electrical and computer engineering. During undergraduate studies, his final project on system identification and tracking was recognized for outstanding work and he received multiple awards for academic excellence from the department head. His research interests include signal processing, performance bounds, and radar systems.(Based on document published on 3 July 2024).
Publications
5
Citations
29
Publications by Year
20182024
Co-Authors:
Author's Published Works

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Evaluation Framework for Augmented Reality Smart Glasses as Assembly Operator Support: Case Study of Tool Implementation

Oscar Danielsson;Magnus Holm;Anna Syberfeldt

IEEE Access
Year: 2021 | Volume: 9 | Journal Article |
Cited by: Papers (6)
Augmented reality smart glasses (ARSG) have been identified as relevant support tools for the Operator 4.0 paradigm. Although ARSG are starting to be used in industry, their use is not yet widespread. A previously developed online tool based on a framework for evaluating ARSG as assembly operator support is iteratively improved in this paper with expanded functionality. The added functionality con...Show More

Evaluation Framework for Augmented Reality Smart Glasses as Assembly Operator Support: Case Study of Tool Implementation

Oscar Danielsson;Magnus Holm;Anna Syberfeldt

Year: 2021 | Volume: 9 | Journal Article |

A Simulation-Based Optimization Methodology for Facility Layout Design in Manufacturing

Enrique Ruiz Zúñiga;Matias Urenda Moris;Anna Syberfeldt;Masood Fathi;Juan Carlos Rubio-Romero

IEEE Access
Year: 2020 | Volume: 8 | Journal Article |
Cited by: Papers (26)
Optimizing production systems is urgent and indispensable if companies are to cope with global competition and a move from mass production to mass customization. The urgency of this need is more obvious in old production plants with a history of modifications, expansions, and adaptations in their production facilities. It is common to find complex, intricate and inefficient systems of material and...Show More

A Simulation-Based Optimization Methodology for Facility Layout Design in Manufacturing

Enrique Ruiz Zúñiga;Matias Urenda Moris;Anna Syberfeldt;Masood Fathi;Juan Carlos Rubio-Romero

Year: 2020 | Volume: 8 | Journal Article |

An Optimization Model for Balancing Assembly Lines With Stochastic Task Times and Zoning Constraints

Masood Fathi;Amir Nourmohammadi;Amos H. C. Ng;Anna Syberfeldt

IEEE Access
Year: 2019 | Volume: 7 | Journal Article |
Cited by: Papers (15)
This paper aims to bridge the gap between theory and practice by addressing a real-world assembly line balancing problem (ALBP), where task times are stochastic and there are zoning constraints in addition to the commonly known ALBP constraints. A mixed integer programming (MIP) model is proposed for each of the straight and U-shaped assembly line configurations. The primary objective in both case...Show More

An Optimization Model for Balancing Assembly Lines With Stochastic Task Times and Zoning Constraints

Masood Fathi;Amir Nourmohammadi;Amos H. C. Ng;Anna Syberfeldt

Year: 2019 | Volume: 7 | Journal Article |

Integrating simulation-based optimization, lean, and the concepts of industry 4.0

Enrique Ruiz Zúñiga;Matias Urenda Moris;Anna Syberfeldt

2017 Winter Simulation Conference (WSC)
Year: 2017 | Conference Paper |
Cited by: Papers (9)
Nowadays, due to the need of innovation and adaptation for the mass production of customized goods, many industries are struggling to compete with the manufacturing sector emerging in different countries around the world. The understanding and implementation of different improvement techniques is necessary in order to take part in the so-called fourth industrial revolution, Industry 4.0. This pape...Show More

Integrating simulation-based optimization, lean, and the concepts of industry 4.0

Enrique Ruiz Zúñiga;Matias Urenda Moris;Anna Syberfeldt

Year: 2017 | Conference Paper |

Augmented Reality Smart Glasses in the Smart Factory: Product Evaluation Guidelines and Review of Available Products

Anna Syberfeldt;Oscar Danielsson;Patrik Gustavsson

IEEE Access
Year: 2017 | Volume: 5 | Journal Article |
Cited by: Papers (160)
Augmented reality smart glasses (ARSG) are increasingly popular and have been identified as a vital technology supporting shop-floor operators in the smart factories of the future. By improving our knowledge of how to efficiently evaluate and select the ARSG for the shop-floor context, this paper aims to facilitate and accelerate the adoption of the ARSG by the manufacturing industry. The market f...Show More

Augmented Reality Smart Glasses in the Smart Factory: Product Evaluation Guidelines and Review of Available Products

Anna Syberfeldt;Oscar Danielsson;Patrik Gustavsson

Year: 2017 | Volume: 5 | Journal Article |

Localizing operators in the smart factory: A review of existing techniques and systems

Anna Syberfeldt;Mikael Ayani;Magnus Holm;Lihui Wang;Rodney Lindgren-Brewster

2016 International Symposium on Flexible Automation (ISFA)
Year: 2016 | Conference Paper |
Cited by: Papers (9)
The aim of this paper to give a comprehensive overview of existing techniques and state-of-the-art systems for indoor localization that could be adopted in smart factories of the future. We present different techniques for calculating the position of a moving object using signal transmission and signal measurement, and compare their advantages and disadvantages. The paper also includes a discussio...Show More

Localizing operators in the smart factory: A review of existing techniques and systems

Anna Syberfeldt;Mikael Ayani;Magnus Holm;Lihui Wang;Rodney Lindgren-Brewster

Year: 2016 | Conference Paper |

Maintenance, prognostics and diagnostics approaches for aircraft engines

Veronica Fornlöf;Diego Galar;Anna Syberfeldt;Torgny Almgren;Marcantonio Catelani;Lorenzo Ciani

2016 IEEE Metrology for Aerospace (MetroAeroSpace)
Year: 2016 | Conference Paper |
Cited by: Papers (13)
In avionics application one of the most important competition factors is the reliability, given that the failure occurrence may leads to a critical state for the functioning of the aircraft. Different maintenance, prognostics and diagnostics approaches are possible with the final aim to optimize both system's availability and safety. Aircraft engines represent a safety critical part of the airplan...Show More

Maintenance, prognostics and diagnostics approaches for aircraft engines

Veronica Fornlöf;Diego Galar;Anna Syberfeldt;Torgny Almgren;Marcantonio Catelani;Lorenzo Ciani

Year: 2016 | Conference Paper |

An interactive decision support system using simulation-based optimization and data mining

Ingemar Karlsson;Amos H.C. Ng;Anna Syberfeldt;Sunith Bandaru

2015 Winter Simulation Conference (WSC)
Year: 2015 | Conference Paper |
Cited by: Papers (6)
This paper describes a decision support system (DSS) built on knowledge extraction using simulation-based optimization and data mining. The paper starts with a requirements analysis based on a survey conducted with a number of industrial companies about their practices of using simulations for decision support. Based upon the analysis, a new, interactive DSS that can fulfill the industrial require...Show More

An interactive decision support system using simulation-based optimization and data mining

Ingemar Karlsson;Amos H.C. Ng;Anna Syberfeldt;Sunith Bandaru

Year: 2015 | Conference Paper |

Parameter tuned CMA-ES on the CEC'15 expensive problems

Martin Andersson;Sunith Bandaru;Amos H.C. Ng;Anna Syberfeldt

2015 IEEE Congress on Evolutionary Computation (CEC)
Year: 2015 | Conference Paper |
Cited by: Papers (20)
Evolutionary optimization algorithms have parameters that are used to adapt the search strategy to suit different optimization problems. Selecting the optimal parameter values for a given problem is difficult without a-priori knowledge. Experimental studies can provide this knowledge by finding the best parameter values for a specific set of problems. This knowledge can also be constructed into he...Show More

Parameter tuned CMA-ES on the CEC'15 expensive problems

Martin Andersson;Sunith Bandaru;Amos H.C. Ng;Anna Syberfeldt

Year: 2015 | Conference Paper |

Real-world simulation-based manufacturing optimization using Cuckoo Search

Anna Syberfeldt;Simon Lidberg

Proceedings of the 2012 Winter Simulation Conference (WSC)
Year: 2012 | Conference Paper |
Cited by: Papers (9)
This paper describes a case study of real-world simulation-based optimization of an engine manufacturing line. The optimization aims to maximize utilization of machines and at the same time minimize tied-up capital by manipulating 56 unique decision variables. A recently proposed metaheuristic algorithm that has achieved successful results in various problem domains called Cuckoo Search is used to...Show More

Real-world simulation-based manufacturing optimization using Cuckoo Search

Anna Syberfeldt;Simon Lidberg

Year: 2012 | Conference Paper |

A serious game for understanding artificial intelligence in production optimization

Anna Syberfeldt;Sanny Syberfeldt

Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games
Year: 2010 | Conference Paper |
Cited by: Papers (3)
This paper describes a serious game that can be used to teach and demonstrate production optimization using artificial intelligence techniques. The game takes place in a physical Lego factory and is designed to be an enjoyable learning experience.Show More

A serious game for understanding artificial intelligence in production optimization

Anna Syberfeldt;Sanny Syberfeldt

Year: 2010 | Conference Paper |

Simulation-based optimization of a complex mail transportation network

Anna Syberfeldt;Henrik Grimm;Amos Ng;Martin Andersson;Ingemar Karlsson

2008 Winter Simulation Conference
Year: 2008 | Conference Paper |
Cited by: Papers (2)
The Swedish Postal Services receives and distributes over 22 million pieces of mail every day. Mail transportation takes place overnight by airplanes, trains, trucks, and cars in a transportation network comprising a huge number of possible routes. For testing and analysis of different transport solutions, a discrete-event simulation model of the transportation network has been developed. This pap...Show More

Simulation-based optimization of a complex mail transportation network

Anna Syberfeldt;Henrik Grimm;Amos Ng;Martin Andersson;Ingemar Karlsson

Year: 2008 | Conference Paper |

A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems

Anna Syberfeldt;Henrik Grimm;Amos Ng;Robert I. John

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)
Year: 2008 | Conference Paper |
Cited by: Papers (22)
This paper presents a new efficient multi-objective evolutionary algorithm for solving computationally-intensive optimization problems. To support a high degree of parallelism, the algorithm is based on a steady-state design. For improved efficiency the algorithm utilizes a surrogate to identify promising candidate solutions and filter out poor ones. To handle the uncertainties associated with the...Show More

A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems

Anna Syberfeldt;Henrik Grimm;Amos Ng;Robert I. John

Year: 2008 | Conference Paper |

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