Decision support system for handling control decisions and decision-maker related to supply chain

Abstract

BackgroundThe present study presents a knowledge-based DSS framework for supporting the decision-maker and handling control decisions related to supply chains.MethodsTwo binary variables were adopted for denoting at which time point a given task i starts and finishes. The scheduling issues are represented through the ontological model and appropriately interpreted using the Java environment. Regarding primary data, digital form of administration using google form platform took precedence over physical administration.ResultsThe findings might not be exact replication of the findings from previous studies that are limited to the influence of information and material flow on the performance of supply chain as there are concerns of what factors constitute information and material flow that need to be identified and considered. However, with the finding of associating factors of information and material flow may need to consider this in managing the flow and the supply chain. Associating factors such as information quality, information visibility, material cost, fund shortage and so on, play a role in information and material flow and the decisions made in an organization.ConclusionsFactors associating with information and material flow need to be considered in decision making as well, as the cost in any of the elements affects the flow and this would impede supply chain performance of the organization.