Advanced Computer-Based Manufacturing Systems for Defense Needs

Author(s):  
Robert H. Anderson ◽  
Nake M. Kamrany
Author(s):  
Sergey Kotov ◽  

Upgrading mobile mechanically driven library systems to electrically powered mobile systems is discussed.


2003 ◽  
Vol 02 (01) ◽  
pp. 71-87 ◽  
Author(s):  
A. OYARBIDE ◽  
T. S. BAINES ◽  
J. M. KAY ◽  
J. LADBROOK

Discrete event simulation is a popular aid for manufacturing system design; however in application this technique can sometimes be unnecessarily complex. This paper is concerned with applying an alternative technique to manufacturing system design which may well provide an efficient form of rough-cut analysis. This technique is System Dynamics, and the work described in this paper has set about incorporating the principles of this technique into a computer based modelling tool that is tailored to manufacturing system design. This paper is structured to first explore the principles of System Dynamics and how they differ from Discrete Event Simulation. The opportunity for System Dynamics is then explored, and this leads to defining the capabilities that a suitable tool would need. This specification is then transformed into a computer modelling tool, which is then assessed by applying this tool to model an engine production facility.


2019 ◽  
Vol 2 (4) ◽  
pp. 159-165
Author(s):  
Patricia Avitia-Carlos ◽  
Carlos Gerardo Morales-García ◽  
José Luis Rodríguez-Verduzco ◽  
Bernabe Rodríguez Tapia ◽  
Norma Candolfi Arballo

The so-called Industry 4.0 supports its emergence and growth in the use of artificial intelligence techniques for the development of production systems whose capacity, efficiency and adaptability exceed the performance of current computer-based systems. Intelligent manufacturing corresponds to the digitization and interconnection of devices for the construction of production and supply chains that share a continuous flow of information. This revolution involves the development of technologies such as the Internet of Things, data analytics and cyber-systems aligned with machine learning, among others. The development and sustainability of these advanced manufacturing systems represent an area of opportunity for the growth of the technological competitiveness of regional economies. There are, however, training needs among engineering professionals for the development of specific updated technological competences; as well as a need of general conditions for the establishment of innovation networks between academia and the productive sector. This paper uses bibliographic techniques to examine existing literature and conducts a review on Industry 4.0. As a result, it presents an overview of the related technological trends and discuss the role of higher education institutions in the development of competitive human capital. There are also multiple areas of opportunity in the medium and long term to strength university-industry collaboration programs related to this adoption.


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