IJCSI International Journal of Computer Science Issues, Vol. 5, 2009
ISSN (Online): 1694-0784
ISSN (Print): 1694-0814
36
> This best scenario is further moved to
other suppliers i.e. FABMAS [4] &
IntaPS MAS for delivery of required
input products through DISPOWEB
agent (5).
> The DISPOWEB agent get the
information from other agents that are
not depend on other suppliers can fulfill
the demand by submitting a supply
vector consist of production cost & load
situation for required sources to the
final DISPOWEB agent (6).
> Finally the DISPOWEB agent computes
the most profitable time for job
execution is computed & dispatches the
job by transmitting the selected delivery
time to supplier agent, implying the
closing of delivery contract between the
parties. At last can contract to the
consumer (7).
4. Achievements of MAS in
Integrated SCM Architecture
The goal of the integrated SCM architecture is
the co-ordination of the PPC (Production
Planning and Control) activities throughout the
whole logistics chain to realize a global
monetary optimization. With the concept of
database structure we can easily
explore,extract,transform and deliver the data to
anywhere at any time and frequency .With the
help of various projects like
DISPOWEB,FABMAS,KRASH,Inta-PS we
create a successful production plan with the help
of different multi agents that can interact with
each other without any human intervention.
5. Conclusion
To compete in today's business environment,
companies are required to integrate business
activities into a global response strategy. To cope
with sudden changes, companies need to conduct
their business activities in a flexible manner.
MAS is promised a solution framework for
SCM because of the effective interaction
between agents through an agent communication
language. The integration of systems and
technology also enables the reengineering of the
business processes by leveraging technological
capabilities that were previously unavailable. In
this paper we show how MAS architecture
interacts in the integrated SCM architecture with
the help of various intelligent agents to highlight
the above problem [8]. It addresses the
architectural, the planning and the execution
aspects of supply chain management. The goal of
the evaluations is to prove the feasibility of the
approach and gather first experiences and results
[9]. In the next step, the system is evaluated
using a real test case scenario that represents an
industrial scope and the corresponding
complexity. One instantiation of the database
structure presented The supply chain that was
chosen represents automobile manufacturer and
its suppliers [5][10].
References
[1] ATT/SCC project, “Agent-based Tracking and
Tracing of Business Processes”, [Internet],
Available
from:http://www.wi2.unierlangen.de/research/AT
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[2] Barbuceanu, M. and Fox, M. S. (1996).
Coordinating multiple agents in the supply chain.
Proceedings of Fifth Workshop on Enabling
Technologies: Infrastructure for Collaborative
Enterprises, Stanford, CA, Jane 1996, pp. 134-
142.
[3] DISPOWEB project, “Dispositive Supply
WebCoordination”[Internet],
availablefrom:http://www.dispoweb.de/[Accessed
13.3.03]
[4] FABMAS project, “Agent-Based System for
Production Control of
SemiconductorManufacturingProcesses“,[Internet
],Availablefrom:http://www.realagents.org/public.
php?ID=915 [Accessed 13.3.03]
[5] Himoff, Jon (2004). Multi-agent technology: a
revolution in supply chain planning and
execution, Supply Chain Practice, 1 March 2004,
Magenta Technology, 33 Glasshouse Street,
London W1B 5DG, www.magenta-
technology.com
[6] KRASH project, “Karlsruhe Robust Agent Shell”,
[Internet],
Availablefrom:http://www.ipd.uka.de/KRASH/
[Accessed 13.3.03]
[7] L. M. Ellram, M. C. Cooper, Characteristics of
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1993
[8] Lambert, D. M., & Cooper, M. C.: Issues in
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[9] Lambert, D. M., Cooper, M. C., & Pagh, J. D.:
Supply chain management: Implementation issues
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based supply chain management automation. The