@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}
}