Authors:
Vipul Jain
and
Lyès Benyoucef
Affiliation:
INRIA COSTEAM Project, ISGMP, France
Keyword(s):
Agility, fuzzy logic, multi-agents, supply chain management.
Related
Ontology
Subjects/Areas/Topics:
Advanced Applications of Fuzzy Logic
;
Agents
;
Applications of Expert Systems
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
B2B, B2C and C2C
;
B2C/B2B Considerations
;
Business and Social Applications
;
Communication and Software Technologies and Architectures
;
e-Business
;
Enterprise Information Systems
;
e-Procurement and Web-Based Supply Chain Management
;
Industrial Applications of Artificial Intelligence
;
Intelligent Agents
;
Internet Technology
;
Process Design and Organisational Issues in E-Commerce
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Strategic Decision Support Systems
;
Web Information Systems and Technologies
Abstract:
In this paper, we propose a novel approach to model agility and introduce Dynamic Agility Index (DALi) through fuzzy intelligent agents. Generally, it is difficult to emulate human decision making if the recommendations of the agents are provided as crisp, numerical values. The multiple intelligent agents used in this study communicate their recommendation as fuzzy numbers to accommodate ambiguity in the opinion and the data used for modeling agility attributes for integrated supply chains. Moreover, when agents operate based on different criteria pertaining to agility like flexibility, profitability, quality, innovativeness, pro-activity, speed of response, cost, robustness etc for integrated supply chains, the ranking and aggregation of these fuzzy opinions to arrive at a consensus is complex. The proposed fuzzy intelligent agents approach provides a unique and unprecedented attempt to determine consensus in these fuzzy opinions and effectively model dynamic agility. The efficacy o
f the proposed approach is demonstrated with the help of an illustrative example.
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