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Volume 3, Issue 1
Stochastic Optimization of Distributed Sampling System Placement for Passive Measurement

J. Info. Comput. Sci. , 3 (2008), pp. 14-20.

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  • Abstract
A production system in the future is required to quickly respond any change happens, that comes from outside the system or generated by the inside elements as well. These requirements will in fact trigger the effort to fulfill the customer needs that varies to the type and amount of the product. A candidate having that ability is called distributed manufacturing system equipped with autonomy for every production element. Besides autonomy, this production system will also distribute all tasks to the production elements and this becomes the second characteristic of this system. This new system is then called Autonomous Distributed Manufacturing System (ADiMS). As a responsive production system to anticipate a dynamical change, ADiMS will assign each of production element to make the best decision for their own, in accordance to their current condition and own capabilities. By using this kind of distributed production control, the decision making process runs faster in the sense that some decisions are taken simultaneously. Therefore, a model is required to translate the real situation of a production system into a logical model in the computer system. Modeling method used in this research is object oriented programming method.
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@Article{JICS-3-14, author = {}, title = {Stochastic Optimization of Distributed Sampling System Placement for Passive Measurement}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {3}, number = {1}, pages = {14--20}, abstract = {A production system in the future is required to quickly respond any change happens, that comes from outside the system or generated by the inside elements as well. These requirements will in fact trigger the effort to fulfill the customer needs that varies to the type and amount of the product. A candidate having that ability is called distributed manufacturing system equipped with autonomy for every production element. Besides autonomy, this production system will also distribute all tasks to the production elements and this becomes the second characteristic of this system. This new system is then called Autonomous Distributed Manufacturing System (ADiMS). As a responsive production system to anticipate a dynamical change, ADiMS will assign each of production element to make the best decision for their own, in accordance to their current condition and own capabilities. By using this kind of distributed production control, the decision making process runs faster in the sense that some decisions are taken simultaneously. Therefore, a model is required to translate the real situation of a production system into a logical model in the computer system. Modeling method used in this research is object oriented programming method. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22780.html} }
TY - JOUR T1 - Stochastic Optimization of Distributed Sampling System Placement for Passive Measurement AU - JO - Journal of Information and Computing Science VL - 1 SP - 14 EP - 20 PY - 2024 DA - 2024/01 SN - 3 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22780.html KW - Autonomy, distributed system, conflicting decision, object oriented, feature based design. AB - A production system in the future is required to quickly respond any change happens, that comes from outside the system or generated by the inside elements as well. These requirements will in fact trigger the effort to fulfill the customer needs that varies to the type and amount of the product. A candidate having that ability is called distributed manufacturing system equipped with autonomy for every production element. Besides autonomy, this production system will also distribute all tasks to the production elements and this becomes the second characteristic of this system. This new system is then called Autonomous Distributed Manufacturing System (ADiMS). As a responsive production system to anticipate a dynamical change, ADiMS will assign each of production element to make the best decision for their own, in accordance to their current condition and own capabilities. By using this kind of distributed production control, the decision making process runs faster in the sense that some decisions are taken simultaneously. Therefore, a model is required to translate the real situation of a production system into a logical model in the computer system. Modeling method used in this research is object oriented programming method.
. (2024). Stochastic Optimization of Distributed Sampling System Placement for Passive Measurement. Journal of Information and Computing Science. 3 (1). 14-20. doi:
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