Abstract
In the dynamic changing world, problems of uncertainty are doubtlessly crucial issues for firms, investors, customers, and all other members in the value constellation. To achieve sustainability, reduce the risk of uncertainty, and fulfil a variety of customer needs, the concept of Product Service System (PSS) has been proposed as a solution. Although there are several previous studies working on PSS development, there is no dynamic methodology to quickly adjust for external changes and customer response. According to the above gap, this paper presents a Multi-Agent-based Personalized Product Service System (MAPPSS) development model. An agent-based model is built to develop a personalized PSS prototype. In this model, users are able to decide the expected service characteristics, and service composition would be conducted by searching related product and service. Different synthetic solutions are then prioritized by the evaluation agent module, and the final PSS prototype is generated. With the application of the proposed method, competence of enterprises can be enhanced due to the improved agility and user-oriented features. The generated PSS can also be improved immediately by constantly monitoring the performance and through the iteration of the proposed method.