Supply chain modeling: past, present and future
Computers and Industrial Engineering - Supply chain management
A case study of an inter-enterprise workflow-supported supply chain management system
Information and Management
RFID Sourcebook
RFID-based wireless manufacturing for walking-worker assembly islands with fixed-position layouts
Robotics and Computer-Integrated Manufacturing
The exploration of consumers' behavior in choosing hospital by the application of neural network
Expert Systems with Applications: An International Journal
Design of a RFID case-based resource management system for warehouse operations
Expert Systems with Applications: An International Journal
A SCADA oriented middleware for RFID technology
Expert Systems with Applications: An International Journal
Supply chain management with lean production and RFID application: A case study
Expert Systems with Applications: An International Journal
Acquiring logistics process intelligence: Methodology and an application for a Chinese bulk port
Expert Systems with Applications: An International Journal
A graph distance based metric for data oriented workflow retrieval with variable time constraints
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
This paper discusses demand and supply chain management and examines how artificial intelligence techniques and RFID technology can enhance the responsiveness of the logistics workflow. This proposed system is expected to have a significant impact on the performance of logistics networks by virtue of its capabilities to adapt unexpected supply and demand changes in the volatile marketplace with the unique feature of responsiveness with the advanced technology, Radio Frequency Identification (RFID). Recent studies have found that RFID and artificial intelligence techniques drive the development of total solution in logistics industry. Apart from tracking the movement of the goods, RFID is able to play an important role to reflect the inventory level of various distribution areas. In today's globalized industrial environment, the physical logistics operations and the associated flow of information are the essential elements for companies to realize an efficient logistics workflow scenario. Basically, a flexible logistics workflow, which is characterized by its fast responsiveness in dealing with customer requirements through the integration of various value chain activities, is fundamental to leverage business performance of enterprises. The significance of this research is the demonstration of the synergy of using a combination of advanced technologies to form an integrated system that helps achieve lean and agile logistics workflow.