Intelligent Supply Chain Management

Intelligent Supply Chain Management

Fuzzy Logic is used to derive the optimal inventory policies in the Supply Chain (SC) numbers. We examine the performance of the optimal inventory policies by cutting the costs and increasing the supply chain management efficiency. The proposed inventory policy uses multi-agent and Fuzzy logic, and provides managerial insights on the impact of the decision making in all the SC numbers. In parti...

Intelligent Decision Support for Logistics and Supply Chain Management

Information and communication technology (ICT) continues to serve as a prerequisite for successful supply chain management (SCM) and its importance is yet expected to increase in the future. Efficient SCM incorporates and links to information systems, planning tools for decision support as well as supporting devices. While modern ICT systems are vital components in supply chains, their successf...

Intelligent Contracting: An E-Supply Chain Management Perspective

The unprecedented advancements witnessed in the field of information and communication technology over the last couple of years are significantly affecting the nature and magnitude of B2B interactions, as well as their operational effectiveness and efficiency. However, interaction and contracting among global enterprises continued to be challenged by the difference of laws, authentication requi...

Intelligent supply chain management using adaptive critic learning

A set of neural networks is employed to develop control policies that are better than fixed, theoretically optimal policies, when applied to a combined physical inventory and distribution system in a nonstationary demand environment. Specifically, we show that model-based adaptive critic approximate dynamic programming techniques can be used with systems characterized by discrete valued states ...

Fundamentals of Supply Chain Management Fundamentals of Supply Chain Management Fundamentals of Supply Chain Management