Proactive Resource Maintenance in Product-as-a-Service Business Models: A Constraints Programming Based Approach for MFP Offerings Prototyping

This paper delves into Product-as-a-Service (PaaS) business models, with a primary focus on proactively managing strategies designed to ensure the requisite service level availability for Multi-Function Printer (MFP) offerings. Within this framework, we introduce an all-encompassing system that combines predictive analytics, automated resource allocation, and adaptable service scaling to address potential disruptions and enhance the optimization of service delivery. The core issue addressed in this research falls within the realm of resource allocation problems, specifically concentrating on formulating a strategy for designing lease offers that adhere to predefined risk thresholds related to potential failure to provided resources. Through a case study and the outcomes of computer experiments, we illustrate the efficacy of our approach, grounded in constraints programming, in elevating PaaS availability while efficiently utilizing resources. These findings hold considerable value for consistently delivering reliable services in the ever-evolving digital landscape.