Effect of applying independence axiom of Axiomatic Design theory on performance of an Integrated Manufacturing Information System: a computer simulation modeling approach

Mollajan, Ali; Iranmanesh, Hossein; Khezri, Amirhossein; Abazari, Amin

doi:10.1177/00375497211062892

Cited by 9 publications

(5 citation statements)

References 48 publications

(61 reference statements)

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“…Visual SLAM algorithms play a crucial role in addressing these challenges. Leveraging machine vision and image processing, vision SLAM enables robots to perceive their surroundings in unknown environments, facilitating map construction and self-localization [16][17][18]. This study addresses the tracking loss issue in traditional SLAM algorithms by introducing the OMFF-SLAM algorithm.…”

Section: Design Of Ims-vslam Algorithm For Wheeled Robotsmentioning

confidence: 99%

Vision SLAM algorithm for wheeled robots integrating multiple sensors

Zhou,

Zhou

2024

PLoS ONE

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Wheeled robots play a crucial role in driving the autonomy and intelligence of robotics. However, they often encounter challenges such as tracking loss and poor real-time performance in low-texture environments. In response to these issues, this research proposes a real-time localization and mapping algorithm based on the fusion of multiple features, utilizing point, line, surface, and matrix decomposition characteristics. Building upon this foundation, the algorithm integrates multiple sensors to design a vision-based real-time localization and mapping algorithm for wheeled robots. The study concludes with experimental validation on a two-wheeled robot platform. The results indicated that the multi-feature fusion algorithm achieved the highest average accuracy in both conventional indoor datasets (84.57%) and sparse-feature indoor datasets (82.37%). In indoor scenarios, the vision-based algorithm integrating multiple sensors achieved an average accuracy of 85.4% with a processing time of 64.4 ms. In outdoor scenarios, the proposed algorithm exhibited a 14.51% accuracy improvement over a vision-based algorithm without closed-loop detection. In summary, the proposed method demonstrated outstanding accuracy and real-time performance, exhibiting favorable application effects across various practical scenarios.

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Section: Design Of Ims-vslam Algorithm For Wheeled Robotsmentioning

confidence: 99%

Vision SLAM algorithm for wheeled robots integrating multiple sensors

Zhou,

Zhou

2024

PLoS ONE

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“…Different hybrid and distributed systems and simulations have been developed in the production and manufacturing domain to improve manufacturing processes, prevent failures, shorten lead and repair times, and optimize production systems. [31][32][33] However, to our knowledge, no simulation system has yet been created to compare the efficiency of Lean tools based on the industrial context of the company in order to avoid the adoption of tools that will not benefit the industry or that might lead to financial failures.…”

Section: Literature Reviewmentioning

confidence: 99%

HLA-based time management and synchronization framework for lean manufacturing tools evaluation

Possik

Zacharewicz²,

Zouggar

et al. 2022

SIMULATION

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Discrete event simulation (DES) is a method for digitally replicating the behavior and performance of real-world processes, systems, and facilities. DES is widely applied in manufacturing, logistics, healthcare, and military domains. In some cases, DES method is insufficient. On one hand, the simulation must be disassembled into subsystems and then distributed on a multiprocessing environment to enhance the simulation performance. On the other hand, to expand current functionality and prevent future application development, a set of interacting simulations is required. In this project, the IEEE high-level architecture (HLA) standard mechanisms are adopted to solve the interoperability problems between heterogeneous components. Time synchronization between federates is essential to have all DESs running in parallel. In this paper, we present a distributed simulation framework designed to assist decision-makers in making the best decisions and prioritizing the adoption of Lean tools and techniques.

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“…In manufacturing, specific process can be analyzed to assess the effects of implementing Lean Manufacturing tools 25 or to study the impact of changes in process architecture and coupling between subsystems on overall process performance. 26 While process-oriented approaches are widely used for analyzing and optimizing assembly and manufacturing processes, their inherent high level of abstraction often makes them less suitable for integration into design optimization. An additional challenge arises from the complex, frequently nonlinear dependencies between optimization variables (design parameters) and the relevant metrics of interest.…”

Section: Introductionmentioning

confidence: 99%

Framework for metamodel-based design optimization considering product performance and assembly process complexity

Eremeev,

Cock,

Devriendt

et al. 2024

SIMULATION

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This paper proposes a method for simultaneous evaluation of the assembly process complexity together with the performance of the future product. It allows for product design optimization, considering different aspects of the future design at the early stage of the development process. The proposed method, embodied in a fully automated framework, substitutes the traditional sequential development process with a more efficient and rapid combined procedure, which addresses multiple design aspects simultaneously. Design for assembly (DFA) rules, used as quantitative metrics of the ease-of-assembly of the whole product and individual assembly operations, are automatically evaluated together with performance metrics, estimated based on finite element (FE) simulations. The direct solution to this optimization problem might be inefficient or impossible since it requires the recurrent evaluation of computationally expensive discrete and continuous functions with unknown behavior that represent the optimization objectives and constraints. For that reason, the proposed framework employs regression models based on the Gaussian process and artificial neural networks, thus achieving the optimal design of a product as a result of metamodel-based design optimization (MBDO). The suggested approach is demonstrated in the optimization of a gearbox assembly, considering its mechanical performance and assembly process. Comparing the results of the metamodel-based and direct design optimization shows that MBDO allows finding a better solution using a three times smaller computational budget. In addition, analysis of the results obtained using stationary sampling data sets of different sizes highlighted the limitations of the employed sampling procedure.

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Effect of applying independence axiom of Axiomatic Design theory on performance of an Integrated Manufacturing Information System: a computer simulation modeling approach

Cited by 9 publications

References 48 publications

Vision SLAM algorithm for wheeled robots integrating multiple sensors

Vision SLAM algorithm for wheeled robots integrating multiple sensors

HLA-based time management and synchronization framework for lean manufacturing tools evaluation

Framework for metamodel-based design optimization considering product performance and assembly process complexity

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