Multi-Agent System Interaction in Integrated SCM



IJCSI International Journal of Computer Science Issues, Vol. 5, 2009

ISSN (Online): 1694-0784

ISSN (Print): 1694-0814


35


∙^^^"^^^^∙Negotiation    of global

production plan

► Tracking of orders and event
information


Fig.2 Architecture of MAS in integrated SCM

> In case of such a major events,
renegotiation of the contracts at the
inter-enterprise level occurs (e).
Finally the ATT* system communicate
with trusted third party service called
SCC* MAS analyze history of orders
& their sub-orders due to which we
identify the pattern in supply chain
orders that leads to the hindrances
during fulfillment of planning.

2. Database Structure in Integrated
SCM

The data structure is a significant component of
the presented approach and serves as a basis for
workflow integration within the supply chain
scenario. The data structure is used both for the
intra- and inter-organizational production
planning. In the case of intra-organizational
planning tasks, the order data serve as dynamic
input to the planning process[11]. The bill of
materialist analyzed and, taking into account the
operations another parameters like the lot size or
due dates, partial orders are assigned to single
production cells. [16].

MAS-based planning algorithms perform the
planning process within the projects mentioned
in the first chapter [12]. In the inter-
organizational case, order data and estimated
completion dates are exchanged between the
partners to realize an integrated production
planning. The DISPOWEB agents need
information about the load situation and
completion times from the particular intra-
organizational agents. The ATT systems are
triggered with the information derived from the
planning processes and then begin to gather
information of the monitored orders (e.g.
milestones, event data) [15].


Fig.3 Database Structure


3. Integrated SCM Scheduling


To enable the accomplishment of production
plan comprising the whole supply chain, we will
use the concept of supply chain scheduling
where each firm has to be represented by each
firm as shown in fig.3.


> The production plan is initiated by
occurrence of order (1).


> The DISPOWEB agent requests the
KRASH agent for processing time &
related cost for particular manufacturing
process (2).


> After getting the task load information
from KRASH [6] agent, the
DISPOWEB agent begins the formulate
the set of feasible scenarios (3).


> The best possible scenario with latest
possible time is computed & submitted
to DISPOWEB agent (4)


7


-S

IP


cenario 3
ans
)


-Scenario 1

-⅛enario 2



E)ISPOWEB

Sales & purchase)


DISPOW EB
(Inventory )


O
U
T

S
O
U
R

S

I
N
G


2


5


Fig 4.Supply Chain Scheduling with MAS




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