Agent Support for Design of Aircraft Parts

1998 ◽  
Author(s):  
Krishna N. Jha ◽  
Andrea Morris ◽  
Ed Mytych ◽  
Judith Spering
Keyword(s):  
Preliminary Design ◽  
Formal Representation ◽  
Web Based ◽  
Agent Based ◽  
Multi Agent ◽  
High Level ◽  
Legacy Applications ◽  
The Cost ◽  
And Control ◽  
Task Structures

Abstract Designing aircraft parts requires extensive coordination among multiple distributed design groups. Achieving such a coordination is time-consuming and expensive, but the cost of ignoring or minimizing it is much higher in terms of delayed and inferior quality products. We have built a multi-agent-based system to provide the desired coordination among the design groups, the legacy applications, and other resources during the preliminary design (PD) process. A variety of agents are used to model the various design and control functionalities. The agent-representation includes a formal representation of the task-structures. A web-based user-interface provides high-level interface to the users. The agents collaborate to achieve the design goals.

Agent Support for Collaborative Design

1998 ◽  
Author(s):  
Krishna N. Jha ◽  
Andrea Morris ◽  
Ed Mytych ◽  
Judith Spering
Keyword(s):  
Collaborative Design ◽  
Formal Representation ◽  
Web Based ◽  
Agent Based ◽  
Interface Agents ◽  
Multi Agent ◽  
High Level ◽  
The Cost ◽  
And Control ◽  
Task Structures

Abstract Extensive collaboration among multiple distributed design groups is required to design aircraft parts. Achieving such a collaboration manually is time-consuming, expensive, and inefficient; but the cost of ignoring or minimizing it is much higher in terms of delayed and/or inferior quality products. We describe a multi-agent-based approach to support the desired collaboration among the design groups during the preliminary design (PD) process. A variety of agents including interface agents and control agents are used to model the various collaboration functionalities. The agent-representation includes a formal representation of the task-structures. A web-based user-interface provides high-level interface to the users. The agents collaborate to produce optimized and feasible designs.

Agent Support for Design Manufacturability

1998 ◽  
Author(s):  
Krishna N. Jha ◽  
Gary Coen ◽  
Andrea Morris ◽  
Ed Mytych ◽  
Judith Spering
Keyword(s):  
Formal Representation ◽  
Design Decisions ◽  
Web Based ◽  
Process Plan ◽  
Agent Based ◽  
Multi Agent ◽  
High Level ◽  
Legacy Applications ◽  
Process Coordination ◽  
Task Structures

Abstract Designing manufacturable aircraft parts requires satisfying extensive manufacturability constraints early in the design phase, and to quickly propagate the design decisions to the multiple distributed design groups. We have built a multi-agent-based system to provide the desired manufacturability-constraints checking early in the design-process, coordination among the design and analysis groups, the legacy applications, and other resources during the preliminary design (PD) process. A variety of agents are used to model the various design and analysis functionalities. The agent-representation includes a formal representation of the task-structures. One of the agents generates a prototype process plan for the design, and checks the process plan against a repository of processing standards for the manufacturability of the design. A web-based user-interface provides high-level interface to the users. The agents collaborate to produce manufacturable designs.

Benchmarking and Robust Multi-Agent-Based Production Planning and Control

2003 ◽  
Vol 36 (3) ◽  
pp. 249-254
Author(s):  
Daniel Frey ◽  
Jens Nimis ◽  
Heinz Wörn ◽  
Peter Lockemann
Keyword(s):  
Production Planning ◽  
Production Planning And Control ◽  
Agent Based ◽  
Planning And Control ◽  
Multi Agent ◽  
And Control

A Multi-Agent-Based Research on Tourism Supply Chain Risk Management

2014 ◽  
Vol 13 (03) ◽  
pp. 133-153 ◽  
Author(s):  
Luo Biao ◽  
Wan Liang ◽  
Liang Liang
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Tourism Industry ◽  
Limiting Factors ◽  
Supply Chain Risk Management ◽  
Agent Based ◽  
Research Perspective ◽  
Multi Agent ◽  
High Level ◽  
Tourism Supply Chain

The high level of complexity of tourism supply chain and the inherent risks that exist in the demand and supply of resources are viewed as major limiting factors in achieving high level performance. Though emerging literature on risk management in tourism industry or its equivalent exists, progress in this area is uneven, as most research focuses on this problem from the traditional single business risk management perspective, without considering the entire range of different suppliers involved in the provision and consumption of tourism products. This study applies risk management theory to a new research perspective, which is tourism supply chain management (SCM). This paper develops a framework for the design of a multi-agent-based decision support system (DSS) based on multi-agent theory and technique, in order to manage disruptions and mitigate risks in tourism supply chain.

Making E-Training Cost Effective through Quality Assurance

2009 ◽  
pp. 623-631
Author(s):  
Lichia Yiu ◽  
Raymond Saner
Keyword(s):  
High Performance ◽  
Cost Effective ◽  
Web Based ◽  
Corporate Learning ◽  
Use Of Technology ◽  
Training Cost ◽  
E Learning ◽  
American Society ◽  
High Level ◽  
The Cost

Since the 1990s, more and more corporate learning has been moved online to allow for flexibility, just-in-time learning, and cost saving in delivering training. This trend has been evolved along with the introduction of Web-based applications for HRM purposes, known as electronic Human Resource Management (e-HRM). By 2005, 39.67% of the corporate learning, among the ASTD (American Society for Training and Development) benchmarking forum companies, was delivered online in comparison to 10.5% in 2001. E-learning has now reached “a high level of (technical) sophistication, both in terms of instructional development and the effective management of resources” in companies with high performance learning function (ASTD, 2006, p.4). The cost per unit, reported by ASTD in its 2006 State of Industry Report, has been declining since 2000 despite the higher training hours received per employee thanks to the use of technology based training delivery and its scalability. However, the overall quality of e-learning either public available in the market or implemented at the workplace remains unstable.

scholarly journals Modelling transmission and control of the COVID-19 pandemic in Australia

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Sheryl L. Chang ◽  
Nathan Harding ◽  
Cameron Zachreson ◽  
Oliver M. Cliff ◽  
Mikhail Prokopenko
Keyword(s):  
Computational Simulation ◽  
International Travel ◽  
School Closures ◽  
Agent Based ◽  
Social Distancing ◽  
Fine Grained ◽  
Trade Offs ◽  
Travel Restrictions ◽  
High Level ◽  
And Control

Abstract There is a continuing debate on relative benefits of various mitigation and suppression strategies aimed to control the spread of COVID-19. Here we report the results of agent-based modelling using a fine-grained computational simulation of the ongoing COVID-19 pandemic in Australia. This model is calibrated to match key characteristics of COVID-19 transmission. An important calibration outcome is the age-dependent fraction of symptomatic cases, with this fraction for children found to be one-fifth of such fraction for adults. We apply the model to compare several intervention strategies, including restrictions on international air travel, case isolation, home quarantine, social distancing with varying levels of compliance, and school closures. School closures are not found to bring decisive benefits unless coupled with high level of social distancing compliance. We report several trade-offs, and an important transition across the levels of social distancing compliance, in the range between 70% and 80% levels, with compliance at the 90% level found to control the disease within 13–14 weeks, when coupled with effective case isolation and international travel restrictions.

scholarly journals Dynamics and control for multi-agent networked systems: A finite-difference approach

2019 ◽  
Vol 29 (04) ◽  
pp. 755-790 ◽  
Author(s):  
Umberto Biccari ◽  
Dongnam Ko ◽  
Enrique Zuazua
Keyword(s):  
Parabolic Equations ◽  
Transport Model ◽  
Large Population ◽  
Mean Field ◽  
Mean Field Limit ◽  
Dynamics And Control ◽  
Multi Agent ◽  
Nonlocal Transport ◽  
The Cost ◽  
And Control

We analyze the dynamics of multi-agent collective behavior models and its control theoretical properties. We first derive a large population limit to parabolic diffusive equations. We also show that the nonlocal transport equations commonly derived as the mean-field limit, are subordinated to the first one. In other words, the solution of the nonlocal transport model can be obtained by a suitable averaging of the diffusive one. We then address the control problem in the linear setting, linking the multi-agent model with the spatial semi-discretization of parabolic equations. This allows us to use the existing techniques for parabolic control problems in the present setting and derive explicit estimates on the cost of controlling these systems as the number of agents tends to infinity. We obtain precise estimates on the time of control and the size of the controls needed to drive the system to consensus, depending on the size of the population considered. Our approach, inspired on the existing results for parabolic equations, possibly of fractional type, and in several space dimensions, shows that the formation of consensus may be understood in terms of the underlying diffusion process described by the heat semi-group. In this way, we are able to give precise estimates on the cost of controllability for these systems as the number of agents increases, both in what concerns the needed control time horizon and the size of the controls.

Identification of Motion-Based Action Potentials in Neural Bundles

2014 ◽  
Vol 2 (2) ◽  
pp. 22-40 ◽  
Author(s):  
Volkhard Klinger ◽  
Arne Klauke
Keyword(s):  
Action Potentials ◽  
Learning Algorithm ◽  
Inverse Kinematic ◽  
Sensory Nerves ◽  
Key Factors ◽  
Agent Based ◽  
Nerve Signal ◽  
Multi Agent ◽  
And Control ◽  
Level Identification

Realizing a nerve signal based prostheses control or limb stimulation is a great challenge in medical technology. It requires a recording and an identification process of the motion-based action potentials of motor and sensory nerves within the corresponding neural bundle. Two additional key factors are used by multi agent-based learning algorithm: The anatomical disposition of the nerves within the neural bundle and the inverse kinematic. In this paper the authors introduce the Smart Modular Biosignal Acquisition, Identification and Control System and its application environment. They present the different process levels and their characteristic identification contribution and they give an overview of the multi-agent based identification framework. The authors show the verification environment and present results regarding the first-level identification procedure.

Resource management and scheduling policy based on grid for AIoT

2017 ◽  
Vol 31 (19-21) ◽  
pp. 1740066 ◽  
Author(s):  
Yiqin Zou ◽  
Li Quan
Keyword(s):  
Resource Management ◽  
Interface Layer ◽  
Agent Based ◽  
Scheduling Policy ◽  
Resource Modeling ◽  
Service Resource ◽  
Multi Agent ◽  
Level Model ◽  
High Level ◽  
Resource Scheduler

This paper has a research on resource management and scheduling policy based on grid technology for Agricultural Internet of Things (AIoT). Facing the situation of a variety of complex and heterogeneous agricultural resources in AIoT, it is difficult to represent them in a unified way. But from an abstract perspective, there are some common models which can express their characteristics and features. Based on this, we proposed a high-level model called Agricultural Resource Hierarchy Model (ARHM), which can be used for modeling various resources. It introduces the agricultural resource modeling method based on this model. Compared with traditional application-oriented three-layer model, ARHM can hide the differences of different applications and make all applications have a unified interface layer and be implemented without distinction. Furthermore, it proposes a Web Service Resource Framework (WSRF)-based resource management method and the encapsulation structure for it. Finally, it focuses on the discussion of multi-agent-based AG resource scheduler, which is a collaborative service provider pattern in multiple agricultural production domains.

Sign in / Sign up

Export Citation Format

Share Document