A Framework of intelligent decision support systems for agro-industrial and agribusiness supply chain management

Abstract

-The implementation of supply chain management in Agribusiness and agro-industry has a significant difference in terms of stochastic and dynamic behavior as a result of some factors such as (1) perishable characteristics (2) seasonal for cultivation, growth and harvesting (3) various shape and size on final yield (4) voluminous. These factors should be considered in designing a comprehensive, effective, efficient, responsive and sustainable agroindustrial supply chain management. As a consequence, the decision making is becoming more complex than common manufacturing application which are pragmatic, deterministic and static. In order to handle this problem we develop an Intelligent decision support system for Agricultural business and industry supply chain management (iDSS Agri-SCM) as a framework to improve decision making in supply chain. The framework proposes a more effective and efficient supply chain system that supports a fair distributed benefit and value added among stake holders from down stream to up stream equally. This system is supported with a database of Agricultural commodity and its knowledge based system. Hard System Methodology (HSM) and Soft System Methodology (SSM) is deployed in the model with supporting of soft computing such as fuzzy set, genetic algorithms and neural network which give adaptive and intelligent decision. The implementation of this framework is designed with supporting for object oriented design by using UML (Unified Modeling Language). This design handles a wider application in terms of packaging, transportation routing, and distribution of Agricultural products. This framework also provides a mechanism for the supplier selection, pricing negotiation and evaluation which eventually lead to a comprehensive view of the system.