Real Time Business Intelligence in Agent-Oriented Supply Chain Management

Topics: Supply chain management, Business intelligence, Multi-agent system Pages: 7 (1980 words) Published: January 29, 2013
Real time Business intelligence in Agent-Oriented supply chain management


Faculty of Information Technology
University of Moratuwa

Real time Business intelligence in Agent-Oriented supply chain management


Faculty of Information Technology
University of Moratuwa

Abstract: In the face of highly competitive markets and constant pressure to reduce lead times, enterprises today consider supply chain management to be the key area where improvements can significantly impact the bottom line. For companies maintaining direct contact with large numbers of customers, however, a growing number channel-oriented application (e.g. e-commerce support, call center support) create a new data Management challenge: that is effective way of integrating enterprise applications in real time. To learn from the past and forecast the future, many companies are adopting Business Intelligence (BI) tools and systems. Companies have understood the importance of enforcing achievements of the goals defined by their business strategies through business intelligence concepts. In this short review paper is mainly focused on how the real time BI concept is applicable for the supply chain management and critical broad review of findings in Agent based Business Intelligence approach for supply chain management.

1. Introduction

Business intelligence (BI) has two basic different meanings related to the use of the term intelligence. The primary, less frequently, is the human intelligence capacity applied in business affairs/activities. [1] Intelligence of Business is a new field of the investigation of the application of human cognitive faculties and artificial intelligence technologies to the management and decision support in different business problems. The second relates to the intelligence as information valued for its currency and relevance. It is expert information, knowledge and technologies efficient in the management of organizational and individual business. Therefore, in this sense, business intelligence is a broad category of applications and technologies for gathering,

providing access to, and analyzing a for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all of the factors that affect the business. The traditional supply chain assumes a regular and virtually linear flow of information and materials from raw material source to customer. With the increasing speed of information movement this has been extended to a supply network concept with multiple sources and destinations. The real-time enterprise (RTE) (Gartner) [3] essentially describes an organization that applies technology to reduce the gap between when data is recorded in a system and when it is available for information processing. The aim is to get relevant information into the hands of decision-makers (or decision making agents) as soon as possible. If one views Δt as the time difference between initiation and completion of information processes, the RTE is attempting to reduce this gap to zero i.e. Δt →0. In order fulfillment, it is typically called cycle time and represents the time difference between submitting an order and receiving the order. In industrial engineering, it is the cycle time between two discrete units of production. In manufacturing, it is the throughput time from when material enters a production facility to when it exits. As with “real-time” business intelligence, a "real-time enterprise" does not necessarily operate in genuine real-time and often uses the same “within a day” measure to be as good as real time [4]. If the data is received within adequate time to respond to the event it could be considered effective. In recent years, new software architecture for managing the supply chain at the tactical and operational levels has emerged. It views the supply chain as composed of...
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