MaxFlow theory for availability calculation of automated material handling systems

Beschorner, Alin; Glüer, D.

doi:10.1016/s0736-5845(02)00071-6

Cited by 10 publications

(3 citation statements)

References 3 publications

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“…The basic concept of agent based is the allocation process by considering the information that matches with all system entities. 10 All entities structure of software have different types of internal evaluations. 15 Thus, allocation decisions which corresponds to the specific function are made based on these embedded entities structure by the aid of the agent-based architecture.…”

Section: Architecture Of Agent Based Control Systemmentioning

confidence: 99%

“…8 In this type of devices, a computer is used to improve the movement of heavy items in order to respond very precisely to the material handling system operations. 10 These devices work by combining human flexibility, intelligence and skills by which robotic systems capabilities are promoted. The function of collaborative robots are to share the workspace with human coworker and assistance which integrates feedback with programming and motion guidance in semi-autonomous functions.…”

Section: Introductionmentioning

confidence: 99%

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Applications of control engineering in industry 4.0: utilizing internet of things to design an agent based control architecture for smart material handling system

Azizi

Yazdi

Humairi³

et al. 2018

IRATJ

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The influence of global economy has led to changes in the conventional approaches for manufacturing companies. In this case, manufacturing companies has taken under consideration several essential characteristics such as real-time reaction to changes, quick and quality response in satisfying customer requests, in both hardware equipment and software modules by which the production processes are improved for next generation manufacturing systems. Nowadays, material handling system for manufacturing purposes is the key component for any modern manufacturing processes. Additionally, due to high variety of products and shorter response times in today's manufacturing industry, the demand for smart material handling system has increased. Therefore, to recover these demands, custom-built systems have to be implemented which requires individually created control software which deals with flow control, product routings, layout and products distribution. Internet of Things (IoT) is a concept that is set to enhance manufacturing by improving output quality and workflow efficiency. Nowadays manufacturing industries are utilizing internet of things concept as a network that connects multiple sensors and devices through the internet. There are thousands of these sensors within a manufacturing environment, from the temperature gauges to the individual components on the material handling system, connecting data from these devices can improve business efficiency, innovation as well as strengthening security. However; if the data is not connected to a single common platform talking the same language, these potential gains are lost. The aim of this research is to develop an agent based feedback control system and implement it utilizing IoT to control the material handling system in manufacturing industry.

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Section: Architecture Of Agent Based Control Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Applications of control engineering in industry 4.0: utilizing internet of things to design an agent based control architecture for smart material handling system

Azizi

Yazdi

Humairi³

et al. 2018

IRATJ

View full text Add to dashboard Cite

show abstract

“…Karimi et al [15] analyzed and simulated the reliability of flexible manufacturing systems and used a bi-objective nonlinear optimization model to maximize shop reliability, as well as minimize production time. Beschorner and Glüer [16] further analyzed the availability of the MHS on the basis of the maximum flow that could be transported from the source to the destination in the system, i.e., they evaluated the percentage of the maximum flow that the MHS could provide with the consideration of component failures. Robustness, the ability of the system to maintain its function despite internal or external disruptions, has also been examined in relation to the MHS [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems

Tian

et al. 2019

Sustainability

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With the development of intelligent manufacturing technology, the material handling system (MHS) faces larger resilience challenges that threaten the sustainability of the system. To evaluate system resilience, the disturbance that the system may experience and the system response need to be identified in advance. This paper proposes a systematic and innovative approach to performing resilience-related disturbance analysis, i.e., disturbance mode and effects analysis (DMEA). Using this method, the possible disturbance modes, their occurrence probabilities, and the quantitative effects on system performance can be collected in a bottom-up process, and the information can be applied to further resilience quantification. Moreover, a quantitative system resilience evaluation framework for the MHS based on DMEA and the Monte Carlo method is presented. Production is defined as the key performance index of the system and is monitored to reflect the resilience behavior of the system after the disturbance occurs. The resilience of a tire tread handing system is quantified in our case study, and the results show the effectiveness of our DMEA-based resilience evaluation method. We also find that a reasonable system configuration and maintenance strategy can effectively improve system resilience, and a trade-off can be made between resilience and cost.

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Two-step simulation method for automatic material handling system of semiconductor fab

Kong

2007

Robotics and Computer-Integrated Manufacturing

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MaxFlow theory for availability calculation of automated material handling systems

Cited by 10 publications

References 3 publications

Applications of control engineering in industry 4.0: utilizing internet of things to design an agent based control architecture for smart material handling system

Applications of control engineering in industry 4.0: utilizing internet of things to design an agent based control architecture for smart material handling system

A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems

Two-step simulation method for automatic material handling system of semiconductor fab

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