Supply Chain management is a new business challenge and AI can help to solve non linear modellization problem. Could you share your experience ?
https://www-sciencedirect-com.ezproxy.uta.edu/science/article/pii/S095219760900030X
I found following paper relevant
Modeling supply chain dynamics: A multiagent approach
JM Swaminathan, SF Smith, NM Sadeh - Decision sciences, 1998 - Wiley Online Library
A global economy and increase in customer expectations in terms of cost and services have put a premium on effective supply chain reengineering. It is essential to perform risk-benefit analysis of reengineering alternatives before making a final decision. Simulation provides an effective pragmatic approach to detailed analysis and evaluation of supply chain design and management alternatives. However, the utility of this methodology is hampered by the time and effort required to develop models with sufficient fidelity to the actual supply chain of interest. In this paper, we describe a supply chain modeling framework designed to overcome this difficulty. Using our approach, supply chain models are composed from software components that represent types of supply chain agents (e.g., retailers, manufacturers, transporters), their constituent control elements (e.g., inventory policy), and their interaction protocols (e.g., message types). The underlying library of supply chain modeling components has been derived from analysis of several different supply chains. It provides a reusable base of domain-specific primitives that enables rapid development of customized decision support tools.
Agent-oriented supply-chain management
MS Fox, M Barbuceanu, R Teigen - Information-Based Manufacturing, 2001 - Springer
The supply chain is a worldwide network of suppliers, factories, warehouses, distribution centers, and retailers through which raw materials are acquired, transformed, and delivered to customers. In recent years, a new software architecture for managing the supply chain at the tactical and operational levels has emerged. It views the supply chain as composed of a set of intelligent software agents, each responsible for one or more activities in the supply chain and each interacting with other agents in the planning and execution of their responsibilities. This paper investigates issues and presents solutions for the construction of such an agent-oriented software architecture. The approach relies on the use of an agent building shell, providing generic, reusable, and guaranteed components and services for communicative-act-based communication, conversational coordination, role-based organization modeling, and others. Using these components, we show two nontrivial agent-based supply-chain architectures able to support complex cooperative work and the management of perturbation caused by stochastic events in the supply chain.
Just in time technology means you need everything at right time and right place .So AI can help track in coming material flow ,quality defect , customer demand ,understanding change in cusromer prefernce ,capacity adhustment at per customer demand , conterfeit spare part in case of service
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