Abstract
Business process modeling, analysis, and then redesign are the central task in the efforts of reengineering business processes. Frequently reviewing and promptly changing business processes to adapt to new business environment is the key to maintain agility under the competitive global market. It is imperative to enhance the adaptability of business processes. This paper proposes a multi-agent information system (MAIS) based on Swarm, a multi-agent simulation platform, to simulate business processes, and incorporate reinforcement learning to obtain better process adaptability. The resulting system, called BPSLS, is elaborated and evaluated by the order fulfillment process in supply chain networks.