By Vicente Botti, Adriana Giret (auth.)
ANEMONA is a multi-agent approach (MAS) method for holonic production process (HMS) research and layout, according to HMS specifications. ANEMONA defines a combined top-down and bottom-up improvement procedure, and gives HMS-specific directions to aid the fashion designer in deciding upon and imposing holons. In ANEMONA, the desired HMS is split into concrete points that shape varied "views" of the system.
The improvement means of ANEMONA presents transparent and HMS-specific modeling guidance for HMS designers, and entire improvement stages for the HMS lifestyles cycle. The research section is outlined in levels: process standards research, and Holon id and Specification. This research presents high-level HMS necessities from the necessities, adopting a top-down recursive method. a bonus of this recursive research is that its effects, i.e. the research types, offer a suite of simple parts and assembling ideas. the following level is Holon layout, a bottom-up strategy to supply the process structure from the research versions of the former degree. The Holons Implementation level produces an Executable Code for the SetUp and Configuration level. ultimately, maintenances capabilities are achieved within the Operation and upkeep stage.
ANEMONA: A Multi-agent technique for Holonic production Systems could be of curiosity to researchers and postgraduate scholars focused on man made intelligence and software program engineering, in addition to to production engineers in and academia.
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Extra info for ANEMONA: A Mulit-agent Methodology for Holonic Manufacturing Systems
Ak }, 1 ≤ i ≤ k. 3 we have: • Abstract agent of recursion level 0 is an agent. • Abstract agent of recursion level 1 is a MAS made up of interacting agents. • Abstract agent of recursion level n > 1 is a MAS made up of interacting abstract agent of recursion level < n. The designer’s point of view will determine the nature of what is being observed at each moment. From the outside, a system can be considered as an abstract agent since it has agenthood characteristics. On the other hand, from the inside, that is, from the internal structure, the abstract agent can be considered as being composed of a group of interrelated abstract agents (MAS).
In the example above, the three types of holons need social abilities to exchange information about the manufacturing process, thus enabling the execution of tasks. For example, OH1 needs resources to produce PH1, so OH1 interacts with resource holons RH1, RH2 and RH3 to obtain processing functionalities and properties specific to the operation, such as high quality or high throughput. On the other hand, RH1, RH2 and RH3 try to maximize their utilization, and PH1 focuses on the following operations in order to get processed by RH1, RH2 and RH3.
RH2 and RH3 have to be aware of this situation, which prevents the execution of their current plans. They must react in some way, by searching for other order holons to take advantage of their production power, for example, or stopping until RH1 finishes its processing (obviously, the second alternative is less productive for overall system performance, but it is a reactive action too). Despite the fact that this example is a simplified and reduced one, it reflects the reactive property of holons.